Postdoc: Diffusion LLM Reasoning & RL Research

Academic Positions; Schweiz; On-site; CHF 90,000 - 120,000; Full time

Benefits offered by this job

Travel to international conferences

Mentoring PhD students

Excellent salary and benefits

Job summary

The Rhine AI group of Prof. I.

Bogunovic within the Department of Mathematics and Computer Science at the University of Basel invites applications for a Postdoc position funded by the SNSF project Foundations of Post-Training for Reasoning in Diffusion Large Language Models. Starting January 2027 or later, you will advance post-training methods for diffusion-based LLMs and develop benchmarks for reasoning across domains.

Qualifications

• PhD in machine learning or related field; strong publication record in leading ML venues.
• Strong mathematical foundation and coding/implementation skills.
• Experience with LLMs, reinforcement learning, or generative modeling is a plus.
• Excellent communication skills in English (spoken and written).

Responsibilities

• Conduct research in machine learning and AI.
• Take a leading role in project directions and mentor PhD students.
• Publish papers and present results at major conferences (ICML, NeurIPS, ICLR).
• Collaborate with national and international AI/ML teams.

Skills

Machine learning

Reinforcement learning

Generative modeling

Coding & implementation

English fluency

Education

PhD in machine learning or related field

Tools

Python

PyTorch

Job description

The Rhine AI group of Prof. I.

Bogunovic within the Department of Mathematics and Computer Science at the University of Basel invites applications for a Postdoc position funded by the SNSF project Foundations of Post-Training for Reasoning in Diffusion Large Language Models. Starting January 2027 or later, you will advance post-training methods for diffusion-based LLMs and develop benchmarks for reasoning across domains.