Publisher
source

Helmholtz Center for Information Security (CISPA)

Just Landed

PhD or Postdoc Position in Mathematical Foundations of Machine Learning, Differential Privacy, Optimization, and Machine Unlearning CISPA Helmholtz Center for Information Security in Germany

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

One fully funded position is available. CISPA offers strong funding for research and conference travel.

Country flag

Country

Germany

University

Helmholtz Center for Information Security (CISPA)

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Information Technology
Mathematics
Theoretical Computer Science
Data Privacy
Optimisation
Statistics

Suggested positions

About this position

Andrew Lowy, Tenure-Track Faculty at CISPA Helmholtz Center for Information Security, is recruiting a PhD student or postdoctoral researcher to join his group in Saarbrücken, Germany.

The position is centered on the mathematical foundations of machine learning, with interests in differential privacy, optimization, and machine unlearning. The post also highlights broader directions in AI safety and alignment, especially for candidates interested in rigorous theoretical work, proving fundamental limits, and designing algorithms with guarantees.

Eligibility highlights: PhD applicants should have strong foundations in probability and linear algebra, plus excellent performance in proof-based courses such as real analysis. Prior theoretical research experience is especially welcome. Postdoc applicants should have a strong record of theoretical research in machine learning, optimization, or theoretical computer science.

Funding: one fully funded position is available, and CISPA provides strong support for research and conference travel.

How to apply: email [email protected] with a CV, a short research statement, transcripts (for PhD applicants) and/or 2–3 representative papers (for postdoc applicants), and contact information for 2–3 references.

Research environment: collaborative, international, and theory-oriented, with opportunities to shape the research direction jointly with the supervisor.

Funding details

One fully funded position is available. CISPA offers strong funding for research and conference travel.

What's required

PhD applicants should have strong foundations in probability and linear algebra, and excellent performance in rigorous proof-based courses such as real analysis. Prior theoretical research experience is particularly welcome. Postdoc applicants should have a strong record of theoretical research in machine learning, optimization, or theoretical computer science.

How to apply

Email [email protected] with your CV, a short research statement, transcripts for PhD applicants and/or 2–3 representative papers for postdoc applicants, plus contact information for 2–3 references.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?