Project – PhD & Postdoc Positions: Join an innovative project at the ERC CoDeFeL (Control for Deep and Federated Learning) led by the “Chair for Dynamics, Control, Machine Learning, and Numerics” to advance the mathematical foundations of Machine Learning through control theory.
ERC CoDeFeL Project – PhD & Postdoc Positions
Designation:
- PhD Position: 1 available
- Postdoctoral Positions: 2 available
Research Area:
Control and Machine Learning
Location:
Erlangen, Bavaria, Germany
Eligibility/Qualification:
Postdocs Required Background Knowledge:
- PhD in Applied Mathematics or Machine Learning
- Experience in Control and/or Machine Learning
- Proficiency in Partial Differential Equations and Numerical Analysis
- Computational skills in Python and MATLAB
- Ability to work independently and collaboratively
- Excellent English proficiency
PhDs Required Background Knowledge:
- Master’s in Applied Mathematics, Control, or Machine Learning
- Basic computational skills
- Ability to work independently and collaboratively
- Excellent English proficiency
Job Description:
- Duration: Initially up to three (3) years, with potential for extension
- Starting Date: Preferably on September 1, 2024
- Salary: Competitive international annual gross salary based on TV-L (E 13) scale
- Focus on research with encouragement for collaboration and mentoring
How to Apply:
Interested candidates should submit their applications via email to dcn-jobs[at]fau.de by August 30, 2024, including:
- Cover Letter detailing research interests
- Curriculum Vitae with list of publications
- Reference Information of 2-3 professors
- Tentative Research Proposal aligned with the CoDeFeL project scope
Last Date for Apply:
August 30, 2024
Don’t miss the opportunity to contribute to this cutting-edge project that aims to push the boundaries of Machine Learning with control theory. Apply now and be part of a dynamic international team of researchers!
This job post is based on the information from the ERC CoDeFeL Project webpage provided to assist you in crafting a detailed and accurate response.
