Fully-funded Postdoctoral Researcher: CISPA Helmholtz Center for Information Security invites applications for a fully-funded Postdoctoral Researcher Position. The position, associated with the ERC grant SPARSE-ML, focuses on the intersection of machine learning and economics, addressing collaborative learning problems of autonomous agents within complex environments. The successful candidate will have the opportunity to collaborate with PhD students, enjoy a fully-funded position without teaching duties, and work on designing new, efficient learning algorithms.
Designation: Postdoctoral Researcher
Research Area: Machine Learning, Economics, Collaborative Learning
Location: Saarbrücken, Germany
Eligibility/Qualification: PhD in Computer Science, Mathematics, Statistics, Economics, Physics, or a related discipline with a strong publication record.
Job Description:
- Conduct research at the intersection of machine learning and economics.
- Design new, efficient learning algorithms.
- Collaborate with PhD students and other research groups at CISPA.
What we offer:
- Full-time position with a competitive salary (E13 scale of TVöD-Bund).
- Additional benefits, including paid annual leave, special payment, sick leave, maternity and parental leave, and more.
- Opportunity to collaborate with various research groups and institutions.
- Budget for research equipment and conference attendance.
How to Apply: Candidates can apply by sending a cover letter, CV, and research statement, along with contact information for at most three references, to both burkholz@cispa.de and muandet@cispa.de. Application deadline is February 11th, 2024.
Last Date for Apply: 11 February 2024
Disclaimer: This job post is sourced from a reliable channel. Verify details and find more information on the official CISPA Helmholtz Center for Information Security website.
