professor profile picture

Dietrich Klakow

Professor

Saarland University

Country flag

Germany

Has open position

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI

Contact this professor

Research Interests

Computational Linguistics

20%

Statistics

10%

Mathematics

10%

Deep Learning

10%

Transfer Learning

10%

Physics

10%

Patient Communication

10%

Ask ApplyKite AI

Start chatting
How can you help me contact this professor?
What are this professor's research interests?
How should I write an email to this professor?

Positions1

Publisher
source

Dietrich Klakow

University Name
.

Saarland University

PhD and Postdoc Positions in AI for Science at Saarland University

PhD and Postdoc positions in AI for Science at Saarland University, Germany. The group of Dietrich Klakow is recruiting for one more PhD student and possibly a PostDoc in the emerging area of AI for Science . The research sits at the intersection of computer science, machine learning, deep learning, computational linguistics, bioinformatics, physics, and mathematics , with both fundamental and applied topics welcome. The group highlights a strong tradition in language modelling and close collaboration with the Helmholtz Institute for Pharmaceutical Research and the University Hospital , providing access to unique data and a strong environment for interdisciplinary research. Saarland University is described as a leading location in Germany and Europe for computer science and medical/pharmaceutical research, with connections to major research institutes. PhD funding: 75% of a full-time German E13 TV-L salary, approximately 3569 EUR per month before tax and social security contributions, for three years with a possible extension at 50% for a fourth year. Postdoc funding: full-time German E13 TV-L salary, approximately 4967 EUR per month before tax and social security contributions, for two years with a possible extension. Eligibility highlights: PhD applicants should have a Master's degree in a relevant field, excellent machine learning/deep learning knowledge, strong programming skills, and experience working independently and in a small team. Postdoc applicants should have a PhD in a relevant field with the same technical and teamwork strengths. Application deadline: July 1, 2026. How to apply: Prepare a single PDF with a motivation letter, CV, transcripts, and optionally a publication list, plus names and contact details of at least two references. Send the application to the contact email provided in the post. For further inquiries, contact the professor directly.

just-published