PhD: Drive Reasoning in Diffusion LLMs with RL

Universität Basel; Basel; On-site; CHF 47,000 - 57,000; Full time

Benefits offered by this job

Close supervision

Conference travel

Dynamic environment

Salary & benefits

Job summary

Universität Basel invites applications for a PhD position funded by the Swiss National Science Foundation (SNSF) project. The role focuses on post-training methods for diffusion-based language models, with emphasis on reasoning and evaluation benchmarks.

The successful candidate will develop reinforcement learning approaches, explore reasoning-aware generation, and contribute to benchmarking across domains.

Qualifications

• Master's degree in a related field with strong academic record.
• Solid mathematical foundation and ability to run large-scale experiments.
• Experience with LLMs, reinforcement learning, or generative modeling is a plus.
• Research experience is advantageous but not mandatory.

Responsibilities

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

Skills

Machine learning background

Coding skills

LLMs / RL / Generative modeling

Education

Master's degree in computer science, mathematics, physics

Job description

Universität Basel invites applications for a PhD position funded by the Swiss National Science Foundation (SNSF) project. The role focuses on post-training methods for diffusion-based language models, with emphasis on reasoning and evaluation benchmarks.

The successful candidate will develop reinforcement learning approaches, explore reasoning-aware generation, and contribute to benchmarking across domains.