project title / job position title: phd fellowship in rare event … · 2017-11-15 · be real....

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Page 1 of 8 Project title / Job position title: PhD fellowship in Rare event prediction with machine learning methods Research Project / Research Group Description. Rare events are ubiquitous in many areas such as nature, engineering or business. These are events that happen with a very low probability. Typical examples are earthquakes, flooding, but also traffic accidents with the result of dead or fatal working accidents. Predicting these kinds of events is highly relevant as they imply a high cost in terms of money of human beings. Unfortunately, predicting these events is very difficult by the own nature of the event (they happen with very low probability). Statistics have developed many methods to deal with rare events, however these methods make strong assumptions on the data that do not need to be real. Machine learning literature has dealt with these rare events from different perspectives: strong-imbalance classification problems, outlier detection, one-class classification, anomaly/novelty detection, etc. This project has as objective to develop new methods and algorithms to solve rare events in the field of machine learning. The developed methods will be put in practice in the solution of a real prediction problem of rare events from data of an insurance company. This practical application implies to work in big data environments. The project will be co- supervised with a researcher of the University of the Basque Country UPV/EHU and in close collaboration with the insurance company. Research Group: Machine Learning The machine learning group at BCAM is composed by 3 PhD students, 4 Post-doc researchers and one research line leader. The researchers have a long story in the are of machine learning where they have published more than 100 journal ISI papers in the best journals in the field such as: Machine Learning, IEEE Trans. on Pattern Analysis and Machine Intelligence, Pattern Recognition, IEEE Trans. on Nueral Networks and Learning Systems, etc. They have also carried out many research works in collaboration with companies in the application of machine learning methods to problems in medicine, weather, energy, bioinformatics, etc.

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Page 1: Project title / Job position title: PhD fellowship in Rare event … · 2017-11-15 · be real. Machine learning literature has dealt with these rare events from different perspectives:

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Projecttitle/Jobpositiontitle:PhDfellowshipinRareeventpredictionwithmachinelearningmethods ResearchProject/ResearchGroupDescription.Rareeventsareubiquitousinmanyareassuchasnature,engineeringorbusiness.These are events that happen with a very low probability. Typical examples areearthquakes, flooding, but also traffic accidents with the result of dead or fatalworkingaccidents.Predictingthesekindsofeventsishighlyrelevantastheyimplya high cost in terms of money of human beings. Unfortunately, predicting theseeventsisverydifficultbytheownnatureoftheevent(theyhappenwithverylowprobability). Statistics have developed many methods to deal with rare events,howeverthesemethodsmakestrongassumptionsonthedatathatdonotneedtobereal.Machinelearningliteraturehasdealtwiththeserareeventsfromdifferentperspectives:strong-imbalanceclassificationproblems,outlierdetection,one-classclassification, anomaly/novelty detection, etc. This project has as objective todevelopnewmethodsandalgorithms to solve rareevents in the fieldofmachinelearning. The developedmethodswill be put in practice in the solution of a realpredictionproblemofrareeventsfromdataofaninsurancecompany.Thispracticalapplication implies to work in big data environments. The project will be co-supervisedwitharesearcheroftheUniversityoftheBasqueCountryUPV/EHUandinclosecollaborationwiththeinsurancecompany.ResearchGroup:MachineLearningThemachine learninggroupatBCAM is composedby3PhDstudents, 4Post-docresearchersandoneresearchlineleader.Theresearchershavealongstoryintheare of machine learning where they have published more than 100 journal ISIpapers in thebest journals in the field suchas:MachineLearning, IEEETrans.onPattern Analysis and Machine Intelligence, Pattern Recognition, IEEE Trans. onNueral Networks and Learning Systems, etc. They have also carried out manyresearch works in collaboration with companies in the application of machinelearningmethodstoproblemsinmedicine,weather,energy,bioinformatics,etc.

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JobPositiondescription.ThePhDstudentwithmeetregularly(everyweek)withthePhDsupervisors.Theworktobedevelopedimplies,reading,designingnewalgorithm,programmingthealgorithmsandevaluatingtheminnewproblems.Inadditiontothat,itisexpectedshe/hetowritescientificpapersaswellastoparticipateinconferencesandworkshopsofthearea.Finally,inordertocomplementher/hisdevelopmentastayinaninternationalprestigiousresearchcenterwillbecarriedoutforaperiodofatleastthreemonths.

GroupLeader:

Ø FullName:JoseA.LozanoØ Email:[email protected]Ø Researchgroupwebsite:

https://scholar.google.es/citations?user=lhzoWpwAAAAJ&hl=en&oi=ao

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INPhINITOffer:INPhINIT targets the most motivated PhD candidates by addressing the researchareas in which Spain excels: Bio and Health Sciences, Technology, Physics,Engineering and Mathematics.INPhINIT recruits per call 57 Early-StageResearchersofanynationality,whoenjoya3-yearemploymentcontractattheResearchCentreoftheirchoiceamongthoseselectedandawardedbytheSpanishMinistryofEconomyandCompetitiveness("SeveroOchoa"centresofexcellenceand"MariadeMaeztu"unitsofexcellence)andtheSpanishMinistryofHealth("CarlosIIIcentres of excellence"). In addition, researchers establish a personal careerdevelopment plan including trasnational, intersectoral and interdisciplinarymobility opportunities, and attend a full range of complementary trainingcoursesandworkshops."la Caixa" Foundation will select international candidates. Subsequently, theselectedcandidates,willproposetheResearchCentreandthepredoctoralpositioninwhichhe/shewouldliketodotheresearchproject.IfthereisagreementbetweentheCentre,thesupervisor(predoctoralresearcherwhopresentedtheposition)andthecandidate,thefellowshipwillbeawardedtothecandidate. Fellowshipprovisions:

- 3-yearscontract- Recruitment date: September / October 2018. January 2019 under

extraordinarycircumstances.- Fundingperfellow:115.092euros

o 104.400euros (34.800eurosperyear) includingsalary,employeesocial security contribution, income taxes and all compulsoryemployers’contributions.

o 10.692 euros (3.564 euros per year) for research costs such asconferencesandworkshopsattendance,short-stays,consumablesandintellectualpropertycosts,amongothers.

- PhDAwardof7.500euroswillbegrantedtoresearchersthatsubmittheirthesiswithin6monthsaftertheendofthefellowship.

- Complementarytrainingprogramme:o TechnologyTransferandEntrepreneurshipworkshopsbyOxentia.o ProfessionalandCareerDevelopmentsessionsbyVitae.o High‐qualityacademicandindustrialsecondments.o Participationinoutreachandsocialevents.

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How to Apply 1. Clickinhttps://hosts.lacaixafellowships.org/finder,clickinRESEARCH

CENTREandchoose“BasqueCenterforAppliedMathematics-BCAM”

2. Click in “SEARCH” and the displayable will list the positions offered

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3. Click in the selected PhD Offer and click in “START THE APPLICATION”

4. The system will open a new window with the application website https://www.lacaixafellowships.org/index.aspx. Click in “Please register” for new applicants.

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5. After the registration, the system will send to you the confirmation email and the link to access into the system. Now you are in the position to access into the application system. Please choose INPhINIT: Doctorate in Spanish Research Centre of Excellence

6. Nowyouare in theposition to fill theapplication form,upload the requireddocumentsandchoosetheprojectthesis.Tochoosetheprojectthesis,clickin“StudiestobePursued”,choosethecentreandtheposition

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Eligibilityrequirements

- Atthepublicationdateofthefinallistofselectedcandidates(29may2018),candidates must be in the first four years (full-time equivalent researchexperience) of their research careers and not yet have been awarded adoctoraldegree.

- Atthetimeofrecruitment,candidatesmustcomplywithoneofthefollowingoptions:

o TohavecompletedthestudiesthatleadtoanofficialSpanish(orfromanother country of the European Higher Education Area) universitydegreeawarding300ECTScredits, ofwhichat least60ECTScreditsmustcorrespondtomasterlevel.

o Tohavecompletedadegreeinanon-Spanishuniversitynotadaptedtothe European Higher Education Area that gives access to doctoralstudies. The verification of an equivalent level of studies to the onesmentionedabovewillbemadebytheuniversitywhentheadmissionprocedurestarts.

- Mobility Rule: Candidatesmustnothave residedor carriedout theirmainactivity(work,studies,etc.)inSpainformorethan12monthsinthe3yearsimmediately prior to the publication date of the final list of selectedcandidates(29may2018).Shortstayssuchasholidayswillnotbetakenintoaccountwhencalculatingthemobilityrequirement.

- DemonstrablelevelofEnglish(B2orhigher). EvaluationandselectionprocessINPhINIT aims to recruit excellent Early-Stage Researchers with very solidtheoreticalbackgrounds,withcuriosityandambition;withincipientskillstoexpressthemselves clearly and defend their ideas with creativity, independence andoriginality.Researchersmaybe focusedontheacademicsideorbemore industry-oriented.Theevaluationcriteriaandscoresdefinedtoachievethisgoalare:PHASE1-REMOTEEVALUATION:

- Academic record and CurriculumVitae (weight 50%): academicand/orprofessional curriculum in relation to the stage of the candidate’scareer;Motivation and statement of purpose (weight 30%): theoriginality, innovationandpotential impactof theproposedproject,andthechoiceoftheResearchCentrewillbeassessed;

- Letters of reference (weight 20%): reference letters supporting thecandidacywillbeassessed taking intoaccount the specificityof the contentwithregardtothecandidate’sprojectaswellastheprofileofthepeoplewhosignthem.

PHASE2-FACE-TO-FACESELECTION:

- Candidate’spotential(weight40%): inordertohaveageneralperceptionofthecandidate’spotential,expertswillpayattentionto“soft”skills,abilitytopresent easily a complex reasoning, teamworking; and capabilities such as

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independent reasoning, originality, entrepreneurship, leadership, amongothers.

- Motivation and statement of purpose (weight 30%): expertswill assesstheimpactoftheprojectforthecandidateandthesociety;projectinnovation,originality and feasibility; and candidate’s capabilities with regard to thescopeoftheproject.Academicbackgroundandtheoreticalfundamentals(weight 30%): experts will assess the consistency of the candidate’sacademicbackgroundandCVintheareachosentocarryoutthePhD.

Accordingtothenumberofapplicationsreceived,theremaybeapre-selectionphasebasedonthefinalacademicmarksobtainedfortheBachelorstudies.