Post-Doc in Machine Learning

This job offer has expired

    University of Hildesheim
    Computer scienceOther
    Established Researcher (R3)
    Recognised Researcher (R2)
    01/03/2020 00:00 - Europe/Brussels
    Germany › Hildesheim

Post-Doc in Machine Learning

Applications are invited for a post-doctoral research position at the Information Systems and Machine Learning Lab (ISMLL), Computer Science Department, University of Hildesheim, Germany. The position is available to be filled immediately and offers tenures of three years. The salary amounts to TV-L E13 (at least 40.000 EUR gross income per year, more depending on prior research experience).

We are looking for researchers with interest and experience esp in.

• Relational Learning

• Recommender Systems

• Time-Series Forecasting and Classification

• Meta Learning

• Deep Learning

or any other area of supervised machine learning. As a postdoc in our international ML research group you conduct research in ML, supervise the research of several PhD students, have the opportunity to cooperate with companies, small and large, as well as with academic partners on real-word ML-related problems, and are encouraged to teach ML courses in our renowned International Master Program in Data Analytics to students from all over the world. You will work in a beautiful town with UNESCO World Heritage Sites, located in the very center of Germany, just 30 km from Hanover and 1.5 hours by high-speed train to Berlin. The position is full-time, available to be filled immediately and offers tenures of initially three years with the possibility of an extension by another three years. The salary amounts to TV-L E13 (at least 40.000 EUR gross income per year, more depending on prior research experience).


Who we are

The Information Systems and Machine Learning Lab (ISMLL) at Institute of Computer Science at University of Hildesheim is an international research group on machine learning, especially predictive modelling and probabilistic methods for complex data and complex decisions, with an excellent publication track record (ACM KDD, IEEE ICDM, ECML etc.). ISMLL takes part in basic and applied research projects in various domains such as mobility, e-commerce and technology enhanced learning. See http://www.ismll.uni-hildesheim.de for more information. Located in Hildesheim, the University of Hildesheim is renowned for high quality research and education.


What we expect

We look for a gifted researcher in ML who loves models, algorithms and data, hardly can stop discussing them with other researchers, has made first contributions to the field and now is looking to pursue an academic career by building an excellent publication track record. You should have a recent PhD in Machine Learning, Data Science, Artificial Intelligence, Statistics or a closely related area and a respective publication record. Additional experience with third-party funded research projects will be an asset. You are expected to have strong analytic and programming skills, the ability to work independently, strong interpersonal as well as English language skills.


Until when and how to apply

Please apply online at https://www.ismll.uni-hildesheim.de/apply1.0/ uploading your CV with your transcripts and a research statement. Please enclose a full list of publications and a PDF of your paper you like most yourself. You can submit your application online anytime. Once we found our new postdoc, the application portal will be closed immediately. We will store and process your personal data during the application process and delete it afterwards. For any further question contact Prof. Dr. Dr. Lars Schmidt-Thieme (schmidt-thieme@ismll.uni-hildesheim.de) via email.


Equal Opportunity Employer

The University of Hildesheim is an affirmative action / equal opportunity employer. Women, handicapped persons and members of minorities are encouraged to apply. The University of Hildesheim values gender and diversity competencies.

Work location(s)
2 position(s) available at
University of Hildesheim
Lower Saxony
Universitätsplatz 1

EURAXESS offer ID: 470015


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