University of Basel
Just Landed
New Today
PhD Position in Post-Training and Reasoning for Diffusion Language Models University of Basel in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD position is funded by a Swiss National Science Foundation project. The advert offers an excellent salary, benefits, and working conditions; no specific salary amount or tuition coverage is stated.
Deadline
Nov 20, 2026
Country
Switzerland
University
University of Basel
Apply for this position
Keywords
Suggested positions
About this position
The Rhine AI research group, led by Prof. I. Bogunovic in the Department of Mathematics and Computer Science at the University of Basel, is offering a PhD opportunity in the post-training of diffusion-based large language models (dLLMs).
The SNSF-funded project, “Foundations of Post-Training for Reasoning in Diffusion Large Language Models,” investigates how post-training can improve the reasoning capabilities of dLLMs. These models represent an emerging alternative to standard autoregressive large language models and offer new opportunities for developing reasoning-aware AI systems.
The doctoral researcher will develop reinforcement learning methods for post-training large dLLMs, investigate generation strategies such as adaptive unmasking and credit assignment, and help create benchmarks for evaluating reasoning across domains, including mathematical problem solving. The work combines machine learning, artificial intelligence, generative modeling, and principled analysis with large-scale experimentation using modern AI systems.
The researcher will conduct research, write papers, present results at leading international conferences such as ICML, NeurIPS, and ICLR, and collaborate with national and international experts. The position provides close supervision and mentoring within Rhine AI, with access to collaborators at institutions including EPFL and ETH.
Funding details
The PhD position is funded by a Swiss National Science Foundation project. The advert offers an excellent salary, benefits, and working conditions; no specific salary amount or tuition coverage is stated.
What's required
Applicants must have a Master's degree in computer science, mathematics, physics, or a related field, an exceptional academic record, and a solid mathematical foundation. Strong coding and implementation skills and the ability to conduct large-scale experiments are expected. Experience with large language models, reinforcement learning, or generative modeling is a plus; research experience is advantageous but not mandatory. Excellent spoken and written English communication skills are required. The application should include a motivation statement of no more than 150 words, a curriculum vitae with publications if applicable, scanned bachelor's and master's transcripts, contact information for recommenders, and the latest thesis and/or one publication if applicable.
How to apply
Apply through the University of Basel SuccessFactors application portal. Submit a maximum-150-word motivation statement, CV, bachelor's and master's transcripts, recommender contact information, and your latest thesis or a publication if applicable.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
Switzerland
Research Interests
Artificial Intelligence
Large Language Models
Computer Science
Reasoning
Reinforcement Learning
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.