PhD-TA Exceptional Model Mining on time-varying data
Offer DescriptionThe Data and AI cluster at Eindhoven University of Technology (TU/e) is searching for candidates for one fully-funded 5-year PhD-TA position. Of the time in the position, 75% will be spent on fundamental scientific research: the primary goal is to enrich the portfolio of available data mining techniques with new innovative methods. The remaining 25% of the time in the position will be spent contributing to the teaching duties of the Data and AI cluster. Hence, this position is an ideal springboard for an academic career: during your PhD trajectory, in which you will contribute fundamental advances to data mining research, you will also build up a portfolio of academic teaching experience. Upon successful completion of this position, your CV will be very attractive for universities with open tenure-track positions.The scientific framework in which the position is grounded is Exceptional Model Mining (EMM), a data mining framework that strives to find subgroups within a dataset that are interesting. Subgroups are only deemed interesting if they satisfy two conditions. On the one hand, they must be interpretable: we must be able to succinctly describe the definition of a subgroup, so that the knowledge that they represent becomes actionable. On the other hand, they must be exceptional: they must display some kind of behavior that sets them apart from overall behavior. The scientific challenges revolve around how to efficiently search for subgroups, and how to express exceptional behavior such that the subgroups we find are meaningful.Making an efficient traversal of the combinatorially-large subgroup search space is already challenging in traditional, cross-sectional data. In this PhD position, the main research challenge is to create efficient algorithms to search for exceptional subgroups in data that varies over time. The problem space encompasses both heuristic algorithms, such as Monte-Carlo Tree Search and Pattern Sampling, and exhaustive algorithms, where we will investigate Optimistic Estimates, GP-Growth, and Significant Pattern Mining. We may also look into whether the anytime algorithm with guarantees for Subgroup Discovery, called ‘Refine&Mine’, can be expanded to EMM settings. Completely fresh algorithmic ideas to tackle EMM are also most welcome. Please consult the for further details about the project description encompassing this PhD position.TU/e is a dynamic, research-intensive university in the heart of Europe. TU/e is consistently ranked within the top-100 positions in several world rankings for its research and quality of education. The Data and AI cluster consists of 18 professors, 1 lecturer, 3 postdoctoral researchers, 41 PhD students, and 7 research engineers. The research results of the cluster appear in top-tier conferences and journals including but not limited to SDM, KDD, ECML PKDD, ICDM, AAAI, DAMI, MACH, and KAIS. The cluster has close collaboration with several leading companies, organizations, and hospitals.The successful candidate will be based in the Data Mining group of the DAI cluster, where opportunities are available to collaborate with other PhDs and to co-supervise MSc students on topics relevant to your research. Your research will be concluded with a PhD thesis. You will be supervised by dr. Wouter Duivesteijn and prof. dr. Mykola Pechenizkiy.Where to apply WebsiteRequirementsSpecific RequirementsA solid background in computer science with specialization in data mining and/or machine learning; a minor in mathematics is a plus;
Additional InformationBenefitsA meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
. * An excellent technical infrastructure, on-campus children’s day care and sports facilities.
and a tax compensation scheme (the 30% facility) for international candidates.Additional commentsAbout usEindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.InformationDo you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager dr. W. Duivesteijn by email: .Visit our website for more information about the or the You can also contact .Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view theAre you inspired and would like to know more about working at TU/e? Please visit .ApplicationWe invite you to submit a complete application by using the apply button.
The application should consist of the following documents:
The selection process will start towards the end of September, and will continue until the position is filled. The position is fully funded and available immediately. Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Eindhoven University of Technology (TU/e) Country Netherlands City Eindhoven Postal Code 5612 AP Street De Rondom 70Contact CityEindhoven WebsiteStreetDe Rondom 70 Postal Code5612 APSTATUS: EXPIREDShare this page
€2770 – 3539 per month
Eindhoven, Noord-Brabant
Sat, 15 Jun 2024 04:25:07 GMT
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