2020summer research internship polytechnique...

POLYTECHNIQUE MONTRÉAL SUMMER RESEARCH INTERNSHIP2020

Founded in 1873, Polytechnique Montréal is a leading Canadian university for the scope and intensity of its engineering research and industrial partnerships. It is highly ranked for the number of Canada Research Chairs in Engineering, the most prestigious research funding in the country, and is also first in Québec for the size of its student body and the scope of its research activities. Polytechnique Montréal has laboratories at the cutting edge of technology thanks to funding of nearly a quarter of a billion dollars from the Canada Foundation for Innovation over the past 10 years. Ranked #1 in 2017, Montréal is still among the best student cities in the world! Come and experience the pleasures of a fantastic summer in Québec where there is no time to be bothered with all the festivals!

Research Internship ProgramA research internship is a research activity that is an integral part of a visiting student’s academic program at the home institution. Each year, Polytechnique’s research units welcome more than 250 students from other universities wishing to put into practice the technical and scientific knowledge acquired in their studies. The research conducted is supervised by a professor of Polytechnique and is always related to needs expressed by society or companies, and can be made in laboratories or in situ.

DurationThe recommended duration of the internship is a minimum of 4 months, usually taking place between May and August 2020. Once the admission to the program has been confirmed, no change in the duration and the dates can be made. Please confirm the research duration with your home institution supervisor before application.

Financial Arrangement■ Tuition fee waiver for the duration of the internship;■ Free transportation from the airport to your place of residence upon

your arrival;■ Employer Compliance Fee of $230 CAD covered by Polytechnique

Montréal (once the internship is confirmed, the work permit applicant must pay the requested immigration fee).

Outstanding candidates may receive one of the 10 scholarships available! Amount of the scholarship: $1000 CAD per month for a maximum of 4 months.

Eligibility Criteria■ Being enrolled in one of Polytechnique Montréal’s partner universities; ■ Having completed at least two years of an engineering undergraduate

program or at least one year of a graduate program (Master or Ph.D.) according to projects’ requirements as described in the following pages;

■ Having a minimum GPA of 2.75 out of 4;■ Meet the specific skills required by the supervisor if any;■ Being fluent in French or in English (no language proficiency test is

required).

Required Documents for Application (in French or in English)■ Application Form;■ Letter of motivation including the following information (if you have

selected 2 research projects, provide a letter of motivation for each project):• explanationsofyourinterestinworkingintheselectedproject• yourskillsinrespecttotheproject

■ Curriculum vitae (CV);■ Copy of your passport;■ Copy of your most recent academic transcript;■ Proof of a full-time enrollment from your home institution (the letter

must confirm that you are currently enrolled in a full-time program and will continue to be enrolled upon your return);

■ If possible, a copy of an internship report made in the past.

To enhance your chances to be selected, choose 2 research projects. It can be 2 research projects from the list or 1 research project from the list and 1 supervisor from the Directory of Expertises!

Application DeadlineAll documents must be sent electronically by February 1, 2020 to the Polytechnique Montréal International : [email protected]. Please specify in the subject “2020 Summer Research Internship Program”. Note that a conference call via Skype may be organized if needed for final selection.

AnnouncementThe results will be announced in February 2020 to each candidate. Selected candidates will receive an “Offer of Employment to a Foreign National Exempt from a Labour Market Impact Assessment (LMIA)” and will have to apply for a Work Permit at the Canadian Visa office that serves the area they live in. It is possible that the new Public Policy – Short-term (120) work permit exemption for researchers will allow you to be exempted from a work permit.

For any question regarding your application, please contact:Polytechnique Montréal International ■ [email protected]

mailto:[email protected]

mailto:[email protected]

Aerospace EngineeringCharacterization of advanced 3D-printed materials for aerospace applications

Modelling and optimization of multilared acoustic materials

Optimization of ordered porous materials for low frequency absortion

Additive manufacturing of 3D printing of multi-material composite systems

Biomedical EngineeringUltrasound assisted synthesis of gold nanoparticles

Deep learning for dynamic ultrasound localization microscopy

Auxetic biomaterial applied to biomechanics the knee joint

Biothermodynamics, tensegrity, resonance applied to biomechanics

Bactericidal effect of superhydrofobic surfaces functionalized

Chemical EngineeringLarge-Eddy simulation of canonical turbulent flows

Ultrasound-assisted conversion of lignin into added value products.

Biodegradability and Self-Healing Ability of Conducting Polymers

Metal oxide ion-gated transistors for sensing applications

Fabrication of organic rectifier with transistor configuration

E-skin for Thermal and Pressure Sensing

Optimizing PEDOT-coated neural electrodes

CPOX reformer for micro GTL.

Set up and test of a Fischer-Tropsch fluidized bed reactor

Catalytic degradation of PMMA in a lab scale fluidized bed reactor

PMMA catalytic depolymerization in an extruder

Catalytic degradation of PMMA in a pilot scale fluidized bed reactor

Pilot scale refinery unit to convert shale gas into hydrocarbons

Digitalization targeting GHG emission reductions in the large emitter industries

Bridge Method for Site-Wide Energy Analysis of Industrial Processes

Comparing and Contrasting Biorefinery Process Strategies

Civil, Geological and/or Mining Engineering Acid mine drainage (AMD) and contaminant transport on mine sites

Effect of climate change on the water balance of mine sites

Scale effects on hydrogeotechnical properties of coarse waste rock

Computer and Software Engineering Informatics structure implementation for real-time bidirectional data transfer for IoT

Optimization and implementation of binarized neural networks algorithms

Multi-Robot Planetary Exploration System

High Fidelity Data Collection for Precision Agriculture with Drone Swarms

Failure-Tolerant Connectivity Maintenance for Robot Swarms

Merging semantic and feature maps

API Usability of Machine Learning Libraries

Supporting user interaction design with artifact mining

Mining discussions in open source issue tracking systems

Electrical EngineeringEnergy OpAmizaAon of Deep Learning Accelerators

Engineering PhysicsOptical nose on chip

Scanning Tunneling Microscopy (STM) Imaging with Python

Growth of 2D Metal-Organic Frameworks (MOF)

Mechanical Engineering Pipe Climbing Robot with Adaptive Clamps

Design, fabrication, and experiment of an adaptable retractor

Design and fabrication of a lightweight clamp with a twisting string actuation

Pultrusion of flax/polypropylene biocomposites for automotive industry application

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LIST OF RESEARCH PROJECTSClick on numbers to access project description


You didn’t find what you were looking for? ■ Browse our professors’ directory by area of expertise: www.polymtl.ca/recherche/rc/en/expertises

■ Submit the area of expertise you would like to work on and provide the names of 2-3 professors working in this field.

■ Explain in your letter of motivation why you would like to do a research internship in this area.

■ Polytechnique Montréal International will try to find the appropriate match for you!

Here are some ideas:■ Aerospace Engineering ■ Electric and Electronic Engineering ■ Materials Science and Technology

■ Applied Mathematics ■ Environmental Engineering ■ Mechanical Engineering

■ Artificial Intelligence ■ Fluid Mechanics ■ Mining and Mineral Processing

■ Biomedical Engineering ■ Fuel and Energy Technology ■ Nuclear Engineering

■ Chemical Engineering ■ Hydrology ■ Physics Engineering

■ Civil Engineering ■ Industrial Engineering ■ Robotics

■ Computer and Software Engineering ■ Information Technology ■ Structural Engineering

■ Design and Manufacturing

ADDITIONAL AREAS OF EXPERTISE

POLYMTL.CA


http://www.polymtl.ca/recherche/rc/en/expertises

http://www.polymtl.ca

PROJECT DESCRIPTION 2020 Summer Research Internship Scholarship Program

Area of Expertise : ☐ Chemical☐ Electrical

☐ Aerospace ☐ Biomedical☐ Civil, Geological, Mining ☐ Computer/Software☐ Mathematics/Industrial ☐ Mechanical ☐ Physics

Research Project Title : (max. 10 words) University Cycle : ☐ 1st cycle (Undergraduate) ☐2nd cycle (Master) ☐3rd cycle (Ph.D.)Background Information: (max. 100 words)

Tasks during the Internship: (max. 50 words)

Required Skills for the Internship: (max. 50 words)

Confidentiality and Intellectual Property *

Will the signature of a “Confidentiality Agreement” be required? ☐ Yes ☐ No

Will the signature of an “Assignment of Intellectual Property” be required?☐ Yes ☐ No

Location: ☐ Polytechnique’s Building (Main, Lassonde, Bombardier, Aisenstadt)☐ Others, please specify:

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* Please consult your advisor at the Office of Research & Centre for Technological Development to determine whether the proposed project raises issues with regard to confidentiality or intellectual property.

2020 Summer Research Internship Program 2

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Modelling and optimization of multilared acoustic materials

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Nowadays, aeronautic industry must satisfy stringent requirements. One of them is the reduction the community noise caused by airplanes around airports during repeated take-offs and landings. In this context, engine manufacturers are required to provide breakthrough technologies to replace current ones which have reached their maximum capabilities. One of the mission of the laboratory for acoustic and vibration analysis (LAVA) is the development of advanced acoustic materials for low frequency and broadband acoustic absorption. Design, modelling and advanced manufacturing processes are used to create integrated and multifunctional acoustic structures. The internship will be built within the framework of this project.

The intern will be working on multilayered acoustic materials produced by additive manufacturing. The main tasks include the design of advanced acoustic resonators and ordered porous materials, the manufacturing of small samples for acoustic measurements, the modelling of acoustic properties and data analysis

The intern will integrate a multidisciplinary team. The following skills are required: Basic knowledge of additive manufacturing, knowledge of computer assisted design (CATIA, Solidworks), programming (Matlab, Python), basic knowledge of acoustic of porous materials, proactive and autonomous.

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Annie Ross

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Mechanical Engineering

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Optimization of ordered porous materials for low frequency absortion

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Nowadays, aeronautic industry must satisfy stringent requirements. One of them is the reduction the community noise caused by airplanes around airports during repeated take-offs and landings. In this context, engine manufacturers are required to provide breakthrough technologies to replace current ones which have reached their maximum capabilities. One of the mission of the laboratory for acoustic and vibration analysis (LAVA) is the development of advanced acoustic materials for low frequency and broadband acoustic absorption. Design, modelling and advanced manufacturing processes are used to create integrated and multifunctional acoustic structures. The internship will be built within the framework of this project.

The intern will be working on the modelling and the optimization of acoustic micro-channels produced by additive manufacturing. The main tasks are the design and manufacturing of micro-channels using additive manufacturing, the modelling of acoustic properties and the assessment of the mechanical properties

The intern will integrate a multidisciplinary team working. The following skills are required: Basic knowledge of additive manufacturing, knowledge of computer assisted design (CATIA, Solidworks), programming (Matlab, Python), basic knowledge of acoustic of porous materials, proactive and autonomous

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Annie Ross

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Additive manufacturing of 3D printing of multi-material composite systems

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Additive manufacturing, or three-dimensional (3D) printing, of composites is a grouping of different shaping processes that allows the fabrication of structures through robotic deposition of material by means of a computer model. This technology is a very promising avenue for the implementation of many mechanical and aerospace systems. My research team focuses on the development of advanced composite materials offering multiple functionalities (where multiple properties are desired for a given application) for additive manufacturing (e.g., FDM, SLA, solvant assisted, extrusion-based). My research team innovates with freeform, multi-material and multi-functional printing of complex mechanical/aerospace systems.

The intern will assist a senior graduate student (MS or PhD) with the realization of his or her research project. The main tasks are: design of composites, mixing of fillers, characterization of various material properties, tailoring of printing parameters, design of experiments, CAD design, robot programming, and 3D printing.

• Strong Mechanical/Aerospace Engineering or Material Sciences background • Interest for applied research, 3D printing technologies, CAD, robot programming • Interest for material characterization (e.g., optical microscopy, SEM, mechanical) • Good team worker with good communication skills

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Daniel Therriault

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Ultrasound assisted synthesis of gold nanoparticles

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Gold nanoparticles are increasingly being used in medical diagnosis and pharmaceutical formulations based on their biocompatibility and non-toxic nature. At nanoscale, they exhibit physical (shape and size) and chemical properties (ability to be easily functionalized) that are essential for applications as sensors and in drug targeting. The conventional route for the synthesis of gold nanoparticles is process and time intensive. We will use ultrasound to reduce the synthesis time in combination with biological reducing agents to modify gold nanoparticle shape and size.

Use of ultrasonic processor for synthesis Use of UV spectrophotmeter, particle size analyzer and pH meters. Preparation and update of reports and/or presentations.

Good laboratory practice knowledge. Basic knowledge in organic and analytical chemistry, especially spectroscopy. Fast learner, meticulous and proactive. Data processing. Ability to communicate and work in team.

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Prof. Daria Boffito

Assitant Professor

Chemical Engineering

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Deep learning for dynamic ultrasound localization microscopy

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Microvascular dysfunction is central to many of our most pressing healthcare challenges, from heart failure to diabetes and neurodegenerative diseases. 2D vascular imaging using ultrasound has undergone multiple breakthrough innovations over the past 10 years. Recently, a novel technique called ultrasound localization microscopy (ULM) improved spatial resolution of the vasculature from hundreds to a few microns in vivo via the detection at thousands of frames per second of millions of individual microbubbles injected in the blood stream, enabling in vivo vascular images of unprecedented resolution with any imaging modality at large depth.

The objective of the internship is to develop novel deep-learning tools to enhance the image formation process in dynamic ultrasound localization microscopy. - 60-70% of time: algorithm development + programming (matlab and/or python) - 30-40% of time: literature review, phantom development, and animal experiments

- leadership + independence - ability to work in a multidisciplinary environment - programming (or willingness to learn) - signal processing (or willingness to learn)

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Jean Provost

Assistant Professor

Engineering Physics

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Auxetic biomaterial applied to biomechanics the knee joint

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Auxetics are structures that have a negative Poisson's ratio, an important mechanical parameter of material which shows how much a material becomes thinner in lateral when it is stretched axially. When stretched, auxetic materials become thicker perpendicular to the applied force. This generate a higher shear modulus, a better fracture toughness and high energy absorption. Most auxetic materials are synthesized artificially to meet the need of mechanical property of applications in various fields such as making protective devices for sport and developing auxetic coronary stent to treat cardiovascular heart disease. However, it also naturally exists in our body: Ligaments, Tendons and Fascia are believed to behave this way.

- Literature review - auxetic properties, auxetic material, ligament, tendon, fascia -Mechanism of action -Specification scope for ideal ligament -Methodology, validation and suggested Solutions

3D printing, polymers knowledge. Anatomy and Physiology of conjonctive tissues. Detail oriented, active learner. Person with leadership and team player skills, autonomous, motivated and with good communications. Critical analysis.

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L'Hocine Yahia

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Mechanical department

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Biothermodynamics, tensegrity, resonance applied to biomechanics

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A new paradigm has emerged that suggests long muscle chains could act similarly to organized muscle synergies, providing sensory neuromotor input and are linked together anatomically via soft tissue viscoelastic myofascial envelopment The term biotensegity was adapted by Levin who hypothesized that pre-stressed tensional integrity could be the mechanism by which the body creates stability within different systems and organs, particularly the spine. Often locomotion involves resonance. Resonance helps to obtain maximum amplitudes at minimum input energy.

-Litterature review : Low back pain (LBP), resonance in biology, 3rd law of biothermodynamics, tensegrity applied to the spine -mechanism of action LBP, spine -Specification scope -Develop a mathematical model for the spine -Validate the model

Biomechanics, Thermodynamics, complex systems, maths relative to spine, locomotion and low back pain. Person with leadership and team player skills, autonomous, motivated and with good communications. Detail oriented, active learner. Critical analysis.

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L'Hocine Yahia

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Bactericidal effect of superhydrofobic surfaces functionalized

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In hospitals, there are currently many potential sources of bacterial contamination of medical devices. Peroxide- and alcohol-based disinfectants have shown their limits because of their short effective times, as well as their limitations in spore and biofilm elimination performance. Also, the emergence of bacteria resistant to antibiotics clearly shows that a new generation of antimicrobial agents is required. Thus, the main objective of this project is to develop the use of silver-copper (Ag/Cu) nanoparticles (NPs) or some mixed oxide , coatings to prevent the contamination of medical devices, such as catheters.

- Literature review - bactericidal effect of AgCu NPs and super-hydrophobic surfaces - Interaction of bacteria with polymeric surfaces - Analysis of bacteria resistance - Mechanism of action (Reactive oxygen species) -Means of sterilisation (polymer vs metal)

- write scientific manuscripts *** manipulation of bacteria culture -Person with leadership and team player skills, autonomous, motivated and with good communications. -Detail oriented, active learner. Critical analysis. - hability to follow protocols

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L'Hocine Yahia

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Large-Eddy simulation of canonical turbulent flows

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Hydrodynamic turbulence remains a fundamental challenge in engineering. Outside of the classical examples of the reduction of drag in transportation, the dynamic of turbulence plays a considerable role in other engineering applications. In chemical engineering, a better understanding of turbulent fluid motion is necessary to improve thermo-fluid equipment (i.e heat-exchangers) and to predict the kinetics and yields in reactors whether they be in a plug-flow state or within continuously stirred vessels. In general, this accuracy cannot be reached by traditional Reynolds Averaged Navier-Stokes model and this requires the use of Large Eddy Simulation (LES), which can capture the turbulent cascade.

- Benchmark an open-source high-order computational fluid dynamics software on canonical turbulent flows - Develop and program post-processing capacities (in C++ and Python) - Develop guidelines for implicit LES simulation of turbulent flows

Applicants should be curious, autonomous and have a keen interest for simulation, fluid mechanics and computational fluid dynamics. Some basic knowledge of the Linux command shell (bash) and some programming experience (C++, Python) are suggested as this project will require some software development.

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Bruno Blais

Assistant Professor


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Ultrasound-assisted conversion of lignin into added value products.

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Lignin is the most abundant polyphenolic biopolymer on Earth that derives from an enzyme initiated reaction. It fills the spaces between cellulose, hemicellulose and pectin in cell walls thus providing rigidity to vascular plants. In the papermaking industry, which produces 40 to 50 million tons every year, lignin is an impediment as it yellows in air and weakens the paper. Once separated from cellulose, it is mainly burned as fuel. Because of his heterogeneous and aromatic nature, lignin is a viable raw material to produce added-value aromatics. However, its complexity hinders its conversion and economic feasibility from a scale-up perspective.

Use of ultrasonic processor and microwave reactor. Use of HPLC, GPC, Karl Fisher titrator, GC-FID/MS, UV spectrophotmeter and others. Preparation and update of reports and/or presentations.

Good laboratory practice knowledge. Basic knowledge in organic and analytical chemistry, especially liquid chromatography. Fast learner, meticulous and proactive. Data processing. Ability to communicate and work in team.

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Daria C. Boffito

Assistant Professor


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Biodegradability and Self-Healing Ability of Conducting Polymers

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This research attempts to seal current knowledge gaps on the biodegradability of conducting polymers, and to develop performant conducting polymer-based devices using biodegradable constituents e.g. substrates, electrodes and electrolytes, with the devices’ localization at end-of-life in mind. Furthermore, this project aims to enumerate on conducting polymer poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT: PSS) inherent properties such as electronic self-healing ability and conductivity enhancement through blending with additives.

Screen-printing of transistors, characterization of transistor performance, self-healing analysis of screen-printed conducting polymers, respirometry (biodegradability analysis) of polymers (at NRC)

Chemical analysis, laboratory techniques, electronic device characterization, motivation, organization skills

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National Research Council Canada (NRC)6100 Royalmount Ave, Montreal, QC H4P 2R2

Fabio Cicoira

Associate Professor


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Metal oxide ion-gated transistors for sensing applications

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Ion-gated transistors (IGTs) are attractive for chemo- and bio-sensing, wearable electronics and bioelectronics, because of their ability to detect the ions, and low voltage operation (< 1 V). Metal oxides are of interest as transistor channel materials in IGTs due to their high mobility, chemical stability and ease of process in the air at relatively low temperatures . Among the metal oxides, In2O3 shows superior performance, but the availability of indium is limited in the earth's crust. TiO2 and SnO2 are the earth-abundant, better replacement for the expensive indium oxide-based channel materials and can be used as a channel material in n-type IGTs.

Preparation of metal oxide films such as TiO2 and SnO2 through hydrothermal and sol-gel synthesis. Assembly of ion-gated transistors (including the preparation of gating medium and gate electrode). Electrical and electrochemical testing of IGTs and perform data analysis.Candidate should have a basic knowledge of electrolyte gated transistors. They should have some knowledge and experience about wet-chemical techniques such as solution processing method for the preparation of metal oxide films.

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Fabio Cicoira

Associate Professor


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Fabrication of organic rectifier with transistor configuration

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Recently, demand for high frequency and low-cost rectifiers as a major compartment of radio frequency identification (RFID) tags have encouraged many researchers to use organic semiconductors for rectifiers. Commercial silicone based rectifying circuits consist of rectifying diode and capacitor to rectify alternating current (AC) signals collected by antennas and produce direct current (DC) to power electronic devices. We are going to fabricate transistor-based rectifier with a three-terminal configuration. This type of rectifier requires to have an asymmetry structure to show rectifying effect in device which can be induced by using different metals with different work function as source or drain.

Contribute to the fabrication process of rectifier which includes carbon nanotube deposition on silicone wafer by vacuum filtration method, Analysis of semiconductor characterizations, Be responsible for conducting new process for rectifier fabrication.

To be familiar with organic electronics. To have knowledge on semiconductor materials. To have knowledge on photo lithography procedure. Intermediate knowledge of English. To have a good team work ability. Student in chemical or material engineering, chemistry and physics.

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Fabio Cicoira

Associate Professor

Chemical Enginering

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E-skin for Thermal and Pressure Sensing

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E-skin is attracting many researchers in different fields such as touch sensor based technologies, robotics and personal health care monitoring. In this research, conductive and elctroactive polymers are used to fabricate transparent and wearable multi-layers E-skin which is capable of thermal and mechanical stimuli.

- Getting familiar with the subject by studying the related work - Participating in meetings to report progress or any potential issues - Delivering progress report end of each month - Conducting experiments and pushing one or two papers

- Having knowledge about conductive and electroactive polymers - Being able to interpret XRD and FTIR signal processing - knowledge about electrical response Characterization

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Fabio Cicoira

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CPOX reformer for micro GTL.

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We will produce syngas from natural gas by catalytic partial oxidation (CPOX) of methane in big scale reformet unit. This reaction is not currently in use industrially due to the fact that there is not a technology that allows to operate in an economic convenient way. You will carry on experiments at high pressure in a pilot plant to study the features of the catalyst, study the effects of the feeding temperature on the overall reaction, understand if an alternative way to feed the reactants may effect the carbon deposition on the catalyst and define an optimized coking-regeneration procedure.

The intern will run experiment on the design lab scale plant, from the preparation of the reactor until the analysis of the product. At the same time she/he will design and integrate a new reactor for a second reaction.

- Problem solving and decision making - Goal oriented - Teamworking

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Set up and test of a Fischer-Tropsch fluidized bed reactor

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Fischer-Tropsch reaction (FT) converts syngas (mixture of CO and H2) into hydrocarbons. FT is fundamental for GTL processes and to exploit remote oil wells, converting the associated gas that otherwise is flared into liquid products.

The applicant will set up and test a lab scale FT fluidized bed reactor. This reactor will work at 20 bar and 300°C. The PhD student that will supervise the intern has already synthesized the catalysts and started to prepare the setup

Basic knowledge of chemical reactors Ability to work in a team Precision and dedication

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Gregory Patience

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Catalytic degradation of PMMA in a lab scale fluidized bed reactor

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Polymethyl methacrylate (PMMA) is a transparent thermoplastic and an alternative to glass. The market size for this polymer is growing but, recycling technologies are inadequate. We are developing an innovative technology that represents the thermal degradation of PMMA to methacrylic acid (MAA) in a fluidized bed reactor. We feed PMMA to the fluidized bed reactor in solid form. PMMA melts and agglomerates before it decomposes, which changes the fluidized bed hydrodynamic. We will investigate hydrodynamic of the bed and study kinetics of the process to develop a mathematical model and the reaction mechanism.

1. Operate a 8 mm lab-scale fluid bed reactor at 300 °C 2. Analyze physiochemical properties of different catalyst 3. Analyze chemical products by MS, HPLC and GC-MS

1- Write and speak professionally and communicate and relate well to others 2- Problem solving: ability to analyze and evaluate a situation 3- Knowledge of chemistry lab equipment 4- Basic knowledge of fluidized bed reactors

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Gregory Patience

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PMMA catalytic depolymerization in an extruder

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Polymethyl methacrylate (PMMA) is a multi-functional polymer with excellent tensile strength, flexural strength, UV resistance, and transparency. Industry produces 5,000,000 kg/year of PMMA for coating, electronics, wind turbine blades, etc. Chemical recycling is a promising method to reduce, reuse, and recycle PMMA. 98% of PMMA depolymerizes into its monomers at around 300 °C. However, additives and non-degradable residues reduce yield and increase required reaction temperature. PMMA depolymerizes catalytically in a twin-screw extruder and generate MMA monomer. A condensation system collects all the volatile chemical products.

1. Operating a lab-scale mixer extruder at 180 to 250 °C and for 5 to 30 minutes 2. Operating a pilot-scale twin-screw extruder at 300 °C 3. GPC analysis of the products

1- Write and speak professionally and communicate and relate well to others 2- Problem solving: ability to analyze and evaluate a situation 3- Basic knowledge of chemical engineering and chemistry 4- Knowledge of chemistry lab equipment

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Gregory S. Patience














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Catalytic degradation of PMMA in a pilot scale fluidized bed reactor

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Poly(methyl methacrylate) (PMMA), known as acrylic or acrylic glass as well as the Crylux, Plexiglas, and Acrylite is a transparent thermoplastic and an alternative to glass. The market size for this polymer is growing but, recycling technologies are inadequate. PMMA is usually filled with silica, quartz, aluminum hydroxide, titanium, and other inorganic fillers. In a fluidized bed reactor, it is possible to generate MMA monomer and recover expensive fillers. Industries use fluidized bed reactors due to their superior heat-and mass-transfer because of relatively larger particle-fluid contacting area compared to other types of reactors.

1. Operating a pilot-scale fluidized bed reactor 3. Hydrodynamic study of a pilot-scale fluidized bed reactor 2. Measurement of mixing rate in a fluidized bed reactor

1- Write and speak professionally and communicate and relate well to others 2- Problem solving: ability to analyze and evaluate a situation 3- Knowledge of fluidized bed reactors 4- Knowledge of chemistry lab equipment

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Polynov8745 1st Croissant, Anjou, Quebec H1J 1C9

Gregory S. Patience














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Pilot scale refinery unit to convert shale gas into hydrocarbons

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Rather than building infrastructure to recover small volumes of natural gas, companies flare or vent it to the atmosphere, which contributes to atmospheric greenhouse gas emissions but also reduces the air quality locally because it contains gaseous sulfur and nitrogen compounds. Converting natural gas (NG) to hydrocarbons with a small-scale two-step gas-to-liquids process, is an alternative to flaring and venting.

Help the team to run experiments on the pilot plant available at the laboratories of Prof. Patience and Prof. Boffito. Get acquainted with the PLC and elaborate the results. He will help to operate the lab from the control room.

Basic knowlegde of chemical reactors and catalysis. Soft skills: teamwork, proactivity Programming with Labview, Matlab and Aspen is a plus

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Anjou8745 1st Croissant, Anjou, Quebec H1J 1C9

Gregory Patience

Full professor

Génie Chimique












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Digitalization targeting GHG emission reductions in the large emitter industries

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Digitalization including Big Data, artificial intelligence, machine learning and Industrie 4.0 is embryonic in the large GHG emitting industries, but at last, certain large companies are starting to adopt digitalization strategies. GHG emissions from processes are large and their abatement is complex, however at the same time there is great potential. In this project, the intern will explore the potential of digitalization (defined broadly) for radical GHG emissions from industry sectors. It will be based on available literature, its synthesis, and its critical review to define potential strategies by industry for radical energy use reduction. This project is perfect for a student who would like to learn about the embryonic field of digitalization from the ground up.

Review of the literature including familiarization and definition of digitalization vocabulary, and methods of application in the heavy emitter industries. Critical analysis of this information to define opportunities for use of digitalization technologies for radical GHG emissions reduction in the heavy process industries.

Understanding of process industries/flow sheets, ideally an experience and familiarity with one process industry site, ability to conduct critical analysis of the literature, interest in learning about digitalization techniques.

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Paul Stuart

Professor


https://www.polymtl.ca/expertises/stuart-paul-r

Paul Stuart

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Bridge Method for Site-Wide Energy Analysis of Industrial Processes

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To re-optimize the energy profile of existing and new industrial processes at the site level, we have developed a process analysis methodology called the “Bridge Method”. The Bridge Method is suitable for addressing complex process issues, for ie industry retrofit situations, coupling of two industrial sites, and site-wide energy integration considering utility/cogeneration systems. The intern will learn the conventional approach to site-wide energy analysis (Pinch Analysis), the state-of-the-art Bridge Method, & solve simple & less-simple process eng. problems. The results will be assembled into PowerPoint slides intended to demonstrate the potential of the Bridge Method to various audiences including industry.

(1) Understand Bridge and Pinch Energy Analysis Methods, (2) Solve problems using the two methods, (3) Develop slides for the effective communication of the two methods. This project would be especially interesting to interns interested in solving industrial energy challenges.

Good mathematical skills, process industry flowsheet understanding, process simulation, process analytics, ability to solve problems, ability to communicate results effectively.

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Paul Stuart

Professor



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Comparing and Contrasting Biorefinery Process Strategies

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3 design projects were completed in the current year, examining the basic design, design options, techno-economics, and ability to access the market with bioproducts. Each of the 3 projects considered a different biorefinery strategy. The goal of this project will be to compare and contrast the 3 strategies, based on the design reports as well as independent analyses. Suitable criteria will be defined capturing the performance of the strategies based on the principals of sustainable development, and these criteria estimated for presentation to a panel who will trade-off the criteria in order to identify the "preferred" biorefinery strategy.

Review and critique the 3 design reports, adjust the techno-economic analyses in the reports to be on a relative basis, establish and estimate criteria for the comparison of the 3 biorefinery strategies, and conduct a multi-criteria decision-making panel for the evaluation of the results, involving a range of project stakeholders.

Chemical process engineering, process and product design, engineering judgment, critical analysis, strong communication skills, ability to work in a team.

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Paul Stuart

Professor



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Acid mine drainage (AMD) and contaminant transport on mine sites

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One of the most critical issues for the mining industry remains the management and safe disposal of the important quantities of solid wastes (mine tailings and waste rock) produced during extraction. These materials often contain sulfides which can oxidize upon contact with oxygen (air) and water, producing acidic effluent with high concentrations of sulfates and heavy metals (known as acid mine drainage or AMD). Reclamation of reactive waste disposal sites is best achieved when it is planned in advance and integrated into the mining production cycle. Integrated mine waste management is therefore at the core of the research carried out at the Research Institute on Mines and Environment (RIME) UQAT-Polytechnique.

Characterization of hydrogeological and geochemical properties of different mine wastes. Physical model (medium scale) experiments in the laboratory. Monitoring of water quality on site. Support to Master's and PhD students. Initiation to numerical modelling.

Basic knowledge in geochemistry and hydrogeology. Depending on the student’s background and interests, the internship may focus on AMD generation, contaminant transport, mine site reclamation and effect of climate change on contaminant fate.

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Field work at mine site

Thomas Pabst

Assistant Professor, Scientific Director of RIME Polytechnique

Civil, Geological and Mining Department

http://www.irme.ca/en/











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Effect of climate change on the water balance of mine sites

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Mine wastes often contain sulfides which can generate acid mine drainage (AMD), characterized by low pH and high concentrations of sulfates and metals. Management and reclamation of reactive waste disposal sites are very sensitive to in situ water balance. However, climate models predict an intensification of droughts during summer periods, and an increase of the frequency and intensity of extreme rain events in Canada by 2100. The objective of this project is therefore to assess the effect of climate change on the water table position on mine sites and propose solutions to improve the sustainability of reclamation. This project is part of a large research program at the Research Institute on Mines and Environment (RIME).

Characterization of hydrogeological properties of different mine wastes. Physical model (medium scale) experiments in the laboratory, including column tests. Monitoring of water content and pore water pressure in situ. Initiation to numerical modelling. Support to Master's and PhD students. Collaboration with climatologists.

Basic knowledge in hydrogeology. Depending on the student’s background and interests, the internship may focus on laboratory experiments, field monitoring and/or numerical simulations. Therefore, some previous experience in the laboratory, in the field or with numerical models could be useful.

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Field work at mine site

Thomas Pabst


Civil, Geological and Mining Engineering












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Scale effects on hydrogeotechnical properties of coarse waste rock

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Waste rock can contain particles which size ranges from clay size grains to meter wide boulders. The characterization of the hydrogeotechnical properties of such material is therefore very complex. Laboratory tests usually require sieving the material which can modify its properties. To better evaluate the properties of coarse grained materials in the field, new relations between mechanical properties and maximum grain size need to be established and validated. In this project, new and relatively unique geotechnical equipment recently acquired by the Research Institute on Mines and Environment (RIME) will be used. Large scale triaxial and shear tests will be carried out on various fractions of waste rock.

Characterization of hydrogeological and geotechnical properties of coarse waste rock. Large scale triaxial (30 cm diameter) and shear box (30 cm diameter, 15 cm height) tests in the RIME-laboratory at Polytechnique. Possibly field work on mine sites. Support to Master's and PhD students. Initiation to numerical modelling.

Basic knowledge in geotechnical engineering. Some laboratory or field experience could be useful. Depending on the student’s background and interests, the internship may focus on the use of coarse waste rocks in roads, dams and/or drainage systems.

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Field work at a mine site

Thomas Pabst


Civil, Geological and Mining Engineering (CGM)












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Informatics structure implementation for real-time bidirectional data transfer for IoT

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The braiding of composite materials uses mechanical bobbin carriers to ensure tension in the fibers during the manufacturing process. This system has critical downsides: the tension is not constant, there is a lot of friction (which damages the fibers) and the carriers cannot rewind the fiber if there's too much slack. Thus, a motorized and wireless-controlled carrier has been developed, envisioning an IoT approach. Each carrier is equipped with multiple sensors and all the information has to be logged in real-time to a computer in a database. The computer must show relevant braiding data through it's software interface (such as warnings and errors)and also permit the machine operator to adjust parameters in real-time.

Develop an efficient real-time communication method for each carrier, develop a scalable software architecture for the data transfer and database logging, program a scalable and easily adaptable user interface, lead a procedure for testing and optimizing the software, assist in laboratory tests on the braiding machine, and more.

Technical skills: Outstanding programming skills including but not limited to Python, C/C++, SQL, Java/JavaScript, comfortable with Raspberry Pi and other embedded systems, comfortable in a shop-floor laboratory environment. Personal assets: Creative, organized, methodical and logical thinking.

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Louis Laberge Lebel

Associate Professor, PhD, Ing.


https://www.polymtl.ca/labsfca/en











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Optimization and implementation of binarized neural networks algorithms

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My students and I are working on the efficient implementation of neural networks on FPGAs, processors and GPUs. We are particularly interested in binary neural networks, deep neural networks (DNN) and convolutional neural networks (CNN). Our laboratory is equipped with multiple prototyping systems in the field of FPGAs, GPUs, microcontrollers and processors. This is an excellent opportunity to train in the field of artificial intelligence. The student will first have to be familiar with theproject, understand what has been developed and the work that remains to be done. Then, the student will proceed to the optimization and implementation of the algorithms. The student will also measure the performances. The results could lead to publication in a conference or international journal. https://scholar.google.com/citations?user=yVubPz4AAAAJ&hl=en&oi=sra

Write code for Artificial Intelligence (AI)Test algorithms for AIWrite report/paper

Some background in AI (neural networks)Python, ideally some background with PyTorchC/C++

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Jean Pierre David

Professor

Electrical Engineering

https://www.polymtl.ca/expertises/david-jean-pierre











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Multi-Robot Planetary Exploration System

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The aim of this project is to develop the software infrastructure needed for one (or more) human(s) and a swarm of robots to collaborate in the exploration of hardly accessible planetary environments. We are currently working with NASA and ESA to develop a multi-robot mission to explore a lava tube on the moon. As the robots advance, they shall map the environment, place themselves so that network connectivity is guaranteed, and relay data. The overall goal is to increase the performance as well as the safety of the humans involved in the exploration.

Help in the preparation of a field mission for the exploration of a lava tube on the island of Lanzarote: write code, perform experiment with rovers and flying robots.

Python and/or C/C++ skills are preferable. If you are new to programming, don't worry you can learn to code with robots at MIST lab.

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Giovanni Beltrame

Professor

Computer and Software Engineering

https://mistlab.ca











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High Fidelity Data Collection for Precision Agriculture with Drone Swarms

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The world needs more food. What can we do to improve the way food is produced?This project proposes to improve productivity and sustainability by increasing theprecision of the data collected with the use of Artificial Intelligence (DeepConvolutional Neural Networks) powered autonomous drone swarms capable to flyamong crops. There are many exciting challenges to be overcome here: SLAM, VisualInertial Odometry, Image Segmentation (and Classification), Sensor Fusion and dronedesign/optimization. Much of the work developed here will be useful for other coolresearch fields like self-driving cars, industrial robots, search and rescue, and evenspace exploration!

We will have many cool and exciting possible tasks where the intern will be able tolearn more about: TensorFlow (deep learning/machine learning), dataset creationand augmentation, operating/building drones (UAVs), ROS/Robotics and electronicsin general, Buzz (robot swarms), Computer Vision and Motion Tracking.

The skills will depend on the task, but in general terms the minimum skills are:Python (the deeper the better), C/C++ (basic knowledge is fine), sh/bash, Linux(Ubuntu/Debian), linear algebra (for computer vision and machine learning) andbasic knowledge on electronics (for operating/building drones).

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Giovanni Beltrame

Professor

Computer Engineering

http://mistlab.ca











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Failure-Tolerant Connectivity Maintenance for Robot Swarms

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In many real-world applications, robots need communication between each other to coordinate. For the information to propagate, robots need to be connected, i.e. there has to be a communication path between all the robots in a team. We have designed a decentralized connectivity-preserving algorithm and validated using the ARGoS multi-robot simulator. The connectivity-preserving algorithm has to be ported on to a fleet of Khepera IV (ground robots) and CrazyFlies (small indoor drones).

Develop software for a group of ground robots and small indoor drones, and port the connectivity maintenance algorithm from simulation to reality.

Python and/or C/C++ skills are preferable. If you are new to programming, don't worry you can learn to code with robots at MIST lab.

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Giovanni Beltrame

Professor

Computer and Software Engineering

https://mistlab.ca











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Merging semantic and feature maps

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Mapping is the fundamental requirement for autonomous robot navigation, which is also important for operators to visualize and understand the environment. With the help from machine learning, semantic meaning can enhance a map with high-level knowledge of the world. In this project, we want to merge the semantic meaning into a point cloud map to build a 3D semantic map. In other words, combine the objects recognized with a given point cloud, i.e. some points stand for a chair and some other points stand for a table. Given this high-level map, robots can navigate based on the compact path planning commands, i.e. go to the table.

Use the robots in the lab to get semantic meaning and 3D point maps. Explore the way to fuse these information together.

Python and/or C/C++ skills are preferable. Knowledge about robots navigation and/ormapping will help a lot. If you are new about these, don't worry you can learn to codewith robots at MIST lab.

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Giovanni Beltrame

Full Professor

Department of Computer and Software Engineering

https://mistlab.ca/











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API Usability of Machine Learning Libraries

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API usability specifies how easy, efficient, error-preven:ng, and pleasant an API of a so>ware library is from its users' perspec:ve. With machine learning (ML) techniques becoming increasingly powerful and pervasive, many non-programmers and casual users (e.g. domain experts in medicine or geography) started to explore ML libraries. However, many find them challenging to use because of bad API design. This project aims to inves:gate the API of ML libraries through the lens of user-centered design. The knowledge gathered will help developers of ML libraries improve their APIs and establish preliminary methodologies to evaluate API usability of ML libraries.

We will focus on (1) conduc1ng usability analysis on popular machine learning libraries, (2) comparing the API usability among several libraries, and (3) crea1ng and evalua1ng heuris1cs for fixing API usability problems in machine learning libraries.

- Mo%vated learner, cri%cal thinker, and team contributor - Programming skill in python - Knowledge about one or more machine learning library - Knowledge and/or interests about user-centered approaches and usability

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Jinghui Cheng

Assistant Professor

Computer and So.ware Engineering

h"p://jhcheng.me











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Suppor&ng user interac&on design with ar&fact mining

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User-centered design (UCD) is widely adopted to create interac7ve systems that sa7sfy user needs and characteris7cs. During this process, designers create and access a large number of design ar7facts, including sketches, design examples, and mockups. With liCle tool support, however, designers are usually frustrated when managing a huge collec7on of ar7facts. This project aims at addressing this challenge by using computer vision techniques to iden7fy paCerns and rela7onships among design ar7facts. This knowledge will enable new technologies that help interac7on designers organize, reuse, and retrieve design knowledge from these ar7facts.

We will explore (1) automated methods for iden7fying interac7ve elements in the design ar7facts (images of UI design), (2) automated matching of the interac7ve elements and their rela7onships to established interac7on design paAerns (e.g. those in Tidwell’s paAerns), (3) design of tools that leverage these methods.

- Mo%vated learner, cri%cal thinker, and team contributor - Experience and/or skills in machine learning and computer vision techniques - Programming skill in python - Knowledge and/or interests in user-centered interac%on design

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Jinghui Cheng

Assistant Professor


h"p://jhcheng.me











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Mining discussions in open source issue tracking systems

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Open source so+ware (OSS) development teams o+en use Issue Tracking Systems (ITSs) to manage bug reports, new feature requests, tasks to be completed, and other affairs or cases during the development process. Most modern ITSs for OSS projects allow users to add comments to issues. Over Eme, these comments accumulate into discussion threads embedded with rich informaEon about the so+ware project, which can potenEally saEsfy the diverse needs of OSS stakeholders. However, discovering and retrieving relevant informaEon from the discussion threads is a challenging task, especially when the discussions are lengthy and the number of issues in ITSs are vast.

We will explore the design of a role-based, AI-enabled, human-in-the-loop tool to support diverse OSS stakeholders in discovering and retrieving informa?on that is relevant to their goals and needs from the ITSs. We will design and implement both the back-end algorithms and the user interac?on of the tool.

- Mo%vated learner, cri%cal thinker, and team contributor - Knowledge and/or experience in open source development - Knowledge and/or interests in natural language processing - Web app development skills (e.g. HTML, CSS, Node.js, Angular, MangoDB) - Experience and/or interests in user-centered interac%on design techniques

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Jinghui Cheng

Assistant Professor


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EnergyOpAmizaAonofDeepLearningAccelerators

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AlgorithmsbasedondeepneuralnetworksachieveoutstandingperformanceonalonglistofdifficulttaskssuchasimageclassificaAonandsegmentaAon,speechrecogniAon,playingcomplexgames,andmanyothers.However,toobtainsuchoutstandingresults,verylargenetworksarerequired,containingseveralmillionparametersormore.Asaresult,suchalgorithmsrequireasignificantamountofenergytorun,makingitdifficulttodeploythemonportablesystems,aswellasrepresenAnganeconomicandenvironmentalburden.OurresearchworkseekstodramaAcallyreducethisenergyconsumpAonbybuildingdeeplearningacceleratorsbasedonenergy-efficientbutunreliablecircuits.

YourtasksduringtheinternshipwillbeadjustedbasedonyourlevelandpreferenceforsoOware-orhardware-levelwork,andcanincludedeveloppingcustomtrainingrouAnesand/ornewdeepneuralnetworkarchitectures,anddeveloppingandanalyzinghardwarearchitectures.

Youmustbealreadyfamiliarwitheither:pythonprogrammingandtrainingdeepneuralnetworksORdigitalsystemdesign,verificaAonandVHDL/verilogcoding.KnowledgeofintroductorystaAsAcs(randomvariables,probabilitydistribuAons,etc.)isalsorequired.

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FrançoisLeduc-Primeau

AssistantProfessor

DepartmentofElectricalEngineering

h"ps://www.gr2m.polymtl.ca/en/francois-leduc-primeau-en/











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Optical nose on chip

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Optical noses integrated on chip present numerous advantages over electronic noses such as low power requirements, robustness, and immunity to electromagnetic fields, remote sensing and lower price. Miniaturized on-chip sensor, designed to detect air-borne compounds, are essential for inexpensive monitoring systems that are portable and deployable on a large scale. We demonstrated that it can monitor several volatile organic compounds (VOCs), that it operates in a reversible fashion, under different environmental conditions, and that it detects concentrations in the order of parts per million (ppm). See:www.polymtl.ca/carrefour-actualite/en/innovatio/optical-nose-analyzing-gas-mixtures

Assembly of the optical nose. Taking optical measurements on different gas compositions.

optical experiments, gas handling, polymer synthesis, electronic control, data acquisition

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Yves-Alain Peter

Professor

Engineering Physics

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Scanning Tunneling Microscopy (STM) Imaging with Python

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Over the last decade, we have accumulated a strong expertise in the development of software to simulate Scanning Tunneling Microscopy (STM) images. In the present project, we want to create a version of FleX-STM that is platform independent and that will run with Python. Python is a free and powerful language that offer the advantage of including visualisation components that can be more easily integrated into the development of the software. The actual FleX-STM module is explore finite models, we also consider to adapt the code to include periodic boundary conditions. The new code will be used to study the STM signature of metal-organic frameworks (MOF) that will be parallelly study by a DFT method in a different project.

The student will need to understand the basic theory related to STM image calculations, to read and possibly to translate different codes (C, C++, Fortran, etc.) into Python language. She/He will have to manage the visualization aspect of the calculated images, and to integrate a strategy into the modeling environment.

The interested student should have a strong interest in programming and have a minimal knowledge of electronic structure calculations. Working experience with Python, Matlab or any other relevant coding languages is a clear advantage. Students with background in physics, chemistry or computing science are invited to apply.

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Alain Rochefort

Professor

Engineering Physics

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Growth of 2D Metal-Organic Frameworks (MOF)

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This project focus on the electronic structure DFT calculations of organometallic compounds that are well-organized into a 2D framework. One of the objectives is to produce porous 2D crystals whose pore size is controlled by a judicious choice of the building molecular unit. The dicarbonitrile-polyphenyl-based molecules, NC- (Ph)n-CN with n = 3, 4 or 5, are known to form stable organometallic complexes where the number of phenyl ring (n) allows to control the size of the pores. The general strategy is to link the molecular units through a metal center (Cu, Ag, Au) to ensure a sufficiently strong bonding among the molecular units. The DFT calculations will be performed on the supercomputers manage by Calcul Québec and Compute Canada.

The student will have to build molecular models, to do the DFT calculations on different supercomputers and to analyze the results. Following the project, the student will have to communicate the results of the study through a progress report and oral presentations during group meeting.

The student would have a background in chemistry, physics or materials science with an interest for computational science. No profound background in programming is required, although different languages (C, Fortran, Python, Unix, etc.) are used through the research project.

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Alain Rochefort

Professor

Engineering Physics

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Pipe Climbing Robot with Adaptive Clamps

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The aim of the project is to create a robot who can crawl along pipes of varying diameters. The robot will use two adaptive clamps alternately: when one clamp is grasping the pipe, the other is released and translated in the direction of the motion. The robot will move like a caterpillar/worm. The clamps have been designed during previous projects and are based on underactuated graspers that can adapt to pipes of various sizes. However to design the mobile robot, an actuation/release mechanism is required as well as a translation stage.

Design of the robot and its controller. Fabrication of a prototype, benchmark and testing.

- Solid mechanics, CAD - Control of small power electric motors using embedded microcontrollers - Good with DYI techniques and general fabrication, experience with 3D printing

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Lionel Birglen

Professor

Department of Mechanical Engineering

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Design, fabrication, and experiment of an adaptable retractor

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The aim of the project is to create a retractor realizable in one piece of material (no assembly required) using structural compliance to implement mechanical joints. This retractor will adapt to the shape of an object edges to separate them. For that purpose, the design to produce will consist of two opposite artificial fingers including bistable mechanisms. A handheld retractor in plastic will be produced with the objective of gently separate soft tissues without creating unacceptable levels of mechanical stress.

Design of a one-element bistable compliant underactuated retractor (lengths of linkage, geometry of flexure hinge,...). Fabrications of prototypes, benchmark, and testing.

- Solid mechanics, CAD - Mechanics of materials, Finite Element Modeling - Good with DYI techniques and general fabrication

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Lionel Birglen

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Design and fabrication of a lightweight clamp with a twisting string actuation

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A twisting string actuation (TSA) device uses wire(s) attached to a motor to produce a pulling force onto a load. When the motor rotates the wires are twisting around each and the overall length of these wires is reduced thereby providing the actuation force. Compared to traditional transmission unit, TSA are very lightweight and generate a large mechanical advantage. The aim of the project is to design a lightweight TSA system to actuate an underactuated clamp to create a portable grasping device.

Mathematical modeling of the TSA and design of the underactuated grasper. Design optimization with respect to the weight. Fabrication of a prototype and experiments.

- Solid mechanics, CAD software - Familiarity with Matlab - Fabrication, 3D printing

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Lionel Birglen

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Pultrusion of flax/polypropylene biocomposites for automotive industry application

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Interior parts of cars are primarily produced by injection molding. This manufacturing technique uses small pellets which are fed into an extruder that is set at a sufficient heat to inject them into a mold. The aim of this research is to demonstrate that the biocomposites made by pultrusion can be integrated in injection molding. To achieve this goal, pultrusion experiments with biocomposites composed of flax and polypropylene will be done to make rods that will then be cut into small pellets. The pellets can then be reprocessed by injection molding.

The intern will work alongside a PhD student by preparing the pultrusion set up. He will then assist in the pelletization and injection molding process. He will characterize both the pultruded rods and the injection-molded dogbone coupons by microscopy and by mechanical testing.

Basic knowledge of composite materials, MS office suite, Matlab.

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Louis Laberge Lebel

Associate Professor


www.polymlt.ca/en/