PhD Position in Machine Learning (m/f/d) - TV-L E 13, 100%

• Universität Hildesheim
• Stiftung des öffentlichen Rechts

• Job advertisement
• Reference number 2026/121

• The following position is to be filled at the Institute of Computer Science,
• Information Systems and Machine Learning Lab (ISMLL) has a vacancy for a

• PhD Position in Machine Learning (m/f/d)
• (TV-L E 13, 100%)

• the position is full-time, can be filled immediately, and is initially
• offered for three years. The salary is according to TV-L E13 (roughly 57,000
• EUR gross income per year).

• As a PhD student in our international ML research group you conduct research
• in ML guided by a postdoc and two professors, have the opportunity to cooperate
• with companies, small and large, as well as with academic partners on real-word
• ML problems, and are encouraged to assist in teaching ML courses in our
• renowned International Master‘s Program in Data Analytics to students from all
• over the world. The working language of our group is English. 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

Who we are:

• The Information Systemsand Machine Learning Lab (ISMLL) at the Institute of
• Computer Science of the University of Hildesheim is an international research
• group an machine learning, especially predictive modelling and probabilistic
• methods for complex data and complex decisions, with an excellent publication
• track record (NeurlPS, ICML, ICLR, AAAI, ACM KDD, ECML PKDD, etc.). Current
• research directions include time series forecasting, probabilistic machine
• learning, graph neural networks, recommender systems, and mathematical
• foundations of machine learning. ISMLL takes part in basic and applied research
• projects in various domains such as mobility, e-commerce, and
• technologyenhanced learning. Seehttp://www.ismll.uni-hildesheim.defor more
• information. The Institute of Computer Science, of which ISMLL is part, has a
• streng focus on artificial intelligence, with three chairs working in this
• field. The University of Hildesheim is renowned for high-quality research and
• education.

What we expect:

• We are looking for a gifted student who loves models, algorithms, and data,
• can hardly stop discussing them with others, likes to express their ideas in
• formulas and programs, and now wants to get to the bottom of a complex ML
• problem over the next three years. You should have a recent Master's degree in
• Computer Science, Mathematics, Statistics, Data Science, or a closely related
• area. A Master's thesis on an ML topic and ML-related courses in your Master's
• program will be an asset. You are expected to have strong analytic and
• programming skills, the ability to work independently, and strong interpersonal
• as weil as English language skills.

• As a family-friendly university, we offer a varied, interdisciplinary range
• of tasks, flexible working hours, regular further and advanced training and a
• special annual payment within the framework of TV-L. In joining the university,
• you will become part of a dynamic, committed and open-minded team.

• The University of Hildesheim has adopted a mission statement that places
• great importance on gender equality and diversity.

• The University of Hildesheim particularly wants to promote the professional
• equality of women and men. Therefore, it aims to increase the proportion of
• employees of the gender that is underrepresented in the respective area.

• In the case of equal qualification and suitability, applications from
• applicants with severe disabilities will be given preferential consideration.

• For university degrees obtained abroad, a certificate evaluation by the
• Central Office for Foreign Education (ZAB) is required as proof of equivalence
• before you are hired. Please apply for this in good time if necessary. You can
• find more information athttps://zab.kmk.org/de/zeugnisbewertung.

• Until when and how to apply
• Please apply online using reference number 2026/121 at
• https://www.ismll.uni-hildesheim.de/apply/, uploading your CV with your
• transcripts and a research statement. Please enclose a PDF of a technical text
• of yours, such as a first paper, your Master's thesis, or a seminar paper you
• wrote. You can submit your application online at any time; once we have found
• our new .PhD student, the application portal will be closed. We will store and
• process your personal data during the application process and delete it
• afterwards. For any further questions, please contact Prof. Dr. Dr. Lars
• Schmidt-Thieme ([email protected]) or Prof. Dr. Tom Hanika
• ([email protected]) via email.