Postdoc Position in Post-Training of Diffusion Language Models

The Biozentrum, University of Basel

Basel

On-site

CHF 120,000 - 170,000

Full time

4 days ago
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Job summary

The Biozentrum at the University of Basel is seeking an accomplished researcher in machine learning and AI. You will conduct cutting-edge research, take a leading role in shaping project directions, and mentor PhD students.

You will write papers and present results at top international conferences such as ICML, NeurIPS, and ICLR. You will interact with national and international teams of AI and ML experts and contribute to high-impact publications.

Qualifications

  • PhD in machine learning or related field with strong publication record.
  • Outstanding academic record and solid mathematical foundation.
  • Strong coding and implementation skills for large-scale experiments.
  • Experience with LLMs, reinforcement learning or generative modeling is a plus.
  • Excellent English communication, spoken and written.

Responsibilities

  • Conduct research in machine learning and artificial intelligence.
  • Lead research directions and mentor PhD students.
  • Write papers and articles and present results at leading international conferences.
  • Interact with national and international AI/ML teams.

Skills

Strong coding and implementation
Experience with LLMs
Experience with reinforcement learning
Experience with generative modeling

Education

PhD in machine learning or related field

Job description

Your position
  • Conduct research in machine learning and artificial intelligence
  • Take a leading role in the project's research directions and help mentor PhD students
  • Write research papers and articles, and present results at leading international conferences. We publish in venues such as ICML, NeurIPS, and ICLR
  • Interact with national and international teams of AI and machine learning experts
Your profile

Applicants must hold a PhD in machine learning or a related field, with a strong publication record at leading machine learning venues. Candidates should have an exceptional academic record and a solid mathematical foundation. They are also expected to have strong coding and implementation skills, with the ability to run large-scale experiments. Experience with LLMs, reinforcement learning, or generative modeling is a plus.

Excellent communication skills and fluency in English (spoken and written) are required.

We also seek to increase the number of women and other groups in areas where they are underrepresented and therefore explicitly encourage such groups to apply.

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