Postdoc in Diffusion LLM Reasoning & Post-Training

University of Basel; Basel; On-site; CHF 90,000 - 110,000; Full time

Job summary

The University of Basel invites applications for a Postdoc position in the Rhine AI group, funded by the SNSF project on Foundations of Post-Training for Reasoning in Diffusion Large Language Models. The successful candidate will develop reinforcement learning methods for post-training large dLLMs and contribute to benchmarks for reasoning across domains, including math problem solving.

Based in Basel, Switzerland, the role involves leading research directions, mentoring PhD students, and

Qualifications

• PhD in machine learning or a related field.
• Strong publication record at leading ML venues.
• Solid mathematical foundation.
• Strong coding and implementation skills; ability to run large-scale experiments.
• Experience with LLMs, reinforcement learning, or generative modeling is a plus.
• Excellent communication skills and fluency in English.

Responsibilities

• Conduct research in machine learning and artificial intelligence.
• Take a leading role in the project's research directions and mentor PhD students.
• Write research papers and present results at leading international conferences (e.g. ICML, NeurIPS, ICLR).
• Interact with national and international teams of AI and ML experts.

Skills

Coding skills

LLMs

Reinforcement learning

Education

PhD in ML or related field

Job description

The University of Basel invites applications for a Postdoc position in the Rhine AI group, funded by the SNSF project on Foundations of Post-Training for Reasoning in Diffusion Large Language Models. The successful candidate will develop reinforcement learning methods for post-training large dLLMs and contribute to benchmarks for reasoning across domains, including math problem solving.

Based in Basel, Switzerland, the role involves leading research directions, mentoring PhD students, and