PhD Position in Post-Training of Diffusion Language Models (Prof. I. Bogunovic)

Ph D Position in Post-Training of Diffusion Language Models (Prof.

Bogunovic) 100% The research group Rhine AI of Prof.

Bogunovic at the Department of Mathematics and Computer Science at the University of Basel is inviting applications for a Ph D position funded by the Swiss National Science Foundation (SNSF) project "Foundations of Post-Training for Reasoning in Diffusion Large Language Models." The position focuses on post-training large diffusion-based language models (d LLMs), an emerging alternative to standard autoregressive LLMs, to improve their reasoning capabilities.

The successful candidate will develop reinforcement learning methods for post-training large d LLMs, explore reasoning-aware generation strategies such as adaptive unmasking and credit assignment, and help build benchmarks for evaluating reasoning across domains, including mathematical problem solving.

The ideal candidate has a strong background in machine learning and is excited about large-scale experimentation with modern AI systems, supported by principled analysis where it helps.

This work will push the boundaries of what modern AI systems can reliably reason about.

The position is available starting January 2027 or later.

The duration of a Ph D in Switzerland is 4 years.

Your position Conduct research in machine learning and artificial intelligence Write research papers and articles, and present results at leading international conferences.

We publish in venues such as ICML, Neur IPS, and ICLR Interact with national and international teams of AI and machine learning experts Your profile Applicants must possess a Master's degree in computer science, mathematics, physics, or a related field.

Candidates should have an exceptional academic record and a solid mathematical foundation.

They are also expected to have strong coding and implementation skills, with the ability to run large-scale experiments.

Experience with LLMs, reinforcement learning, or generative modeling is a plus.

Research experience is advantageous but not mandatory.

Excellent communication skills and fluency in English (spoken and written) are required.

We also seek to increase the number of women and other groups in areas where they are underrepresented and therefore explicitly encourage such groups to apply.

We offer you The position will be based in Basel, Switzerland.

In addition, we offer: Close supervision and mentoring, working with and access to national (EPFL and ETH among others) and international collaborators A diverse range of tasks in a dynamic environment The possibility of traveling to international conferences to meet distinguished scientists Excellent salary, benefits, and working conditions Conduct research in machine learning and artificial intelligence Write research papers and articles, and present results at leading international conferences.

We publish in venues such as ICML, Neur IPS, and ICLR Interact with national and international teams of AI and machine learning experts Application / Contact If interested, please send us an application as described below.

Your application should include two PDF files containing the following:- Short motivation statement (maximum 150 words) explaining your interest in the position and why your background is a good fit- Curriculum vitae (including a list of publications, if applicable)- Scanned transcripts of your bachelor's and master's degrees- Contact information (no direct recommendation letters) for people who can recommend you- Your latest thesis and/or one of your publications, if applicable You are encouraged to apply before November 20, 2026.

However, there is no deadline, and the position will remain open until a suitable candidate is found.