Postdoc: Causal ML & RL for Health Analytics

Vrije Universiteit Amsterdam

Amsterdam

On-site

EUR 41,000 - 64,000

Full time

14 days+
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Benefits offered by this job

Annual leave 41 days
Holiday allowance 8%
End-of-year bonus 8.3%
Theatre discounts
Sports facilities
Commuting allowance

Job summary

Vrije Universiteit Amsterdam invites applications for a PostDoc to advance research at the intersection of machine learning and statistics, with emphasis on causal inference and reinforcement learning in health-related data.

The role sits in the Quantitative Data Analytics group and collaborates with Amsterdam UMC, Erasmus MC and Groningen, offering strong research freedom and the chance to supervise students in a multi-year program, including teaching responsibilities.

Qualifications

  • PhD in ML/Statistics or related field.
  • Experience in ML and health data applications, demonstrated by publications.
  • Strong programming skills in Python with PyTorch or TensorFlow.
  • Ability to work independently and in teams.

Responsibilities

  • Perform research in ML and statistics and publish in top AI/ML conferences.
  • Collaborate with QDA group and partner institutes (Amsterdam UMC, Erasmus MC, Groningen).
  • Contribute to Stress in Action and MINMED projects and interact with partners.
  • Teach activities and supervise Bachelor/Master students (about 20% of time).

Skills

PhD in ML/Statistics
Experience in ML research
Causal inference expertise
Reinforcement learning
Programming (Python)

Education

PhD in ML/Statistics

Tools

PyTorch
TensorFlow

Job description

Vrije Universiteit Amsterdam invites applications for a PostDoc to advance research at the intersection of machine learning and statistics, with emphasis on causal inference and reinforcement learning in health-related data.

The role sits in the Quantitative Data Analytics group and collaborates with Amsterdam UMC, Erasmus MC and Groningen, offering strong research freedom and the chance to supervise students in a multi-year program, including teaching responsibilities.

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