PhD: Post-Training Diffusion LLMs — Research in Basel

Academic Positions; Schweiz; On-site; CHF 45,000 - 55,000; Full time

Job summary

The Rhine AI group of Prof. I. Bogunovic at the University of Basel invites applications for a PhD position funded by the SNSF project Foundations of Post-Training for Reasoning in Diffusion Large Language Models.

The role focuses on post-training of large diffusion-based language models to improve reasoning capabilities; you will develop RL methods and explore reasoning-aware generation strategies. The position starts January 2027 (or later) and lasts 4 years.

Qualifications

• Master's degree in computer science, mathematics, physics, or a related field.
• Exceptional academic record and 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.

Responsibilities

• Conduct research in machine learning and artificial intelligence.
• Write research papers and articles; present results at international conferences.
• Interact with national and international teams of AI and ML experts.

Skills

Machine learning

Reinforcement learning

Coding and implementation

Education

Master's degree (CS/Math/Physics)

Job description

The Rhine AI group of Prof. I. Bogunovic at the University of Basel invites applications for a PhD position funded by the SNSF project Foundations of Post-Training for Reasoning in Diffusion Large Language Models.

The role focuses on post-training of large diffusion-based language models to improve reasoning capabilities; you will develop RL methods and explore reasoning-aware generation strategies. The position starts January 2027 (or later) and lasts 4 years.