The Technical University of Darmstadt (TU Darmstadt) invites applications for an open position as a Research Associate / PhD Candidate (Wissenschaftliche:r Mitarbeiter:in / Doktorand:in) focusing on the Mathematical Foundations of Deep Learning. This fully funded research position provides an exceptional opportunity to pursue a doctorate in a world-renowned academic environment known for its leadership in mathematics, artificial intelligence, and computer science.
Position Overview
| Position / Designation | Research Associate / PhD Candidate (w/m/d) |
|---|---|
| Institution | Technical University of Darmstadt (TU Darmstadt) |
| Research Area | Mathematical Foundations of Deep Learning / Machine Learning Theory |
| Location | Darmstadt, Hesse, Germany |
| Employment Type | Full-time / Part-time academic position (standard German TV-L pay scale) with the opportunity to pursue a PhD |
| Application Deadline | Open until filled / Refer to portal posting |
Designation
Research Associate / PhD Student (Wiss. Mitarbeiter:in / Doktorand:in)
Research Area
The research position is embedded within the intersection of advanced mathematics and theoretical computer science. Core research topics include, but are not limited to:
- Mathematical and theoretical foundations of deep neural networks
- High-dimensional probability, statistics, and learning theory
- Optimization algorithms for deep neural networks
- Approximation theory, generalization bounds, and implicit regularization
- Interpretable, robust, and verifiable artificial intelligence
Location
Darmstadt, Hesse, Germany (Department of Mathematics / Computer Science, Technical University of Darmstadt)
Scholarship & Position Description
As a PhD researcher at TU Darmstadt, you will be an active member of an ambitious research group exploring the fundamental principles that govern modern deep learning systems. Key aspects of the role include:
- Conducting original theoretical and empirical research in mathematical machine learning.
- Publishing research findings in leading mathematical journals and tier-one machine learning conferences (such as NeurIPS, ICML, ICLR, or COLT).
- Collaborating with national and international researchers in artificial intelligence and applied mathematics.
- Participating in teaching assistance and student mentoring within the department as appropriate.
- Completing a doctoral dissertation (Dr. rer. nat.) at TU Darmstadt.
- Remuneration in accordance with the German public service collective agreement (TV-L E13), offering comprehensive health, social, and pension benefits.
Eligibility and Qualifications
Candidates must meet the following criteria to be considered:
- An outstanding Master’s degree (or equivalent university degree) in Mathematics, Computer Science, Physics, Data Science, or a closely related quantitative discipline.
- A strong academic background in core mathematical subjects, such as analysis, linear algebra, probability theory, statistics, or continuous optimization.
- A proven interest in machine learning, artificial intelligence, and deep learning algorithms.
- Basic or advanced programming capabilities (e.g., Python, PyTorch, or Julia) for running numerical experiments and algorithmic validation.
- Excellent proficiency in written and spoken English; knowledge of German is an asset but not mandatory.
- Strong analytical, conceptual, and problem-solving skills, accompanied by the ability to work independently and collaboratively.
How to Apply
Applications must be submitted electronically through the TU Darmstadt online recruitment portal. Please prepare the following documents in PDF format:
- Cover Letter: Detailing your motivation, scientific interests, and relevant qualifications for this specific topic.
- Curriculum Vitae (CV): Including educational background, publications (if any), projects, and technical skills.
- Academic Transcripts: Official copies of Bachelor’s and Master’s degree certificates and transcripts of records.
- Master’s Thesis: An electronic copy of your Master’s thesis (or a draft / summary if not yet finalized).
- References: Contact details of at least two academic referees who can provide recommendation letters.
Last Date to Apply
Applications are reviewed on an ongoing basis. Candidates are strongly encouraged to submit their complete application package as early as possible before the vacancy is officially closed.
Official Application Link
For more details on reference ID 57393 and to complete the official online application form, please visit the portal below:
Apply Now at TU Darmstadt Career Portal (Job #57393)
