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

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.