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Jakob Zech

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Research Associate (f/m/d) in Scientific Machine Learning Heidelberg University in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

May 3, 2027

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Country

Germany

University

Heidelberg University

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Keywords

Computer Science
Data Science
Mathematics
Computational Science
Python Programming
Gpu Computing
Statistics
Programming Language
Physics
ML

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About this position

Heidelberg University’s Institute for Mathematics is recruiting for its Scientific Machine Learning research group led by Prof. Dr. Jakob Zech. The position combines research, teaching, programme support and technical development in an environment that bridges mathematics, machine learning, data science and high-performance computing.

The appointee will contribute to the new Master’s programme Mathematics of Machine Learning and Data Science (MMLDS), helping with its implementation and further academic development. A substantial part of the role concerns the technical infrastructure of the institute and the programme, including the Data Science Lab platform and the administration of GPU-enabled HPC resources.

Research responsibilities focus on projects in scientific machine learning and related areas. The role also includes science management tasks such as supporting public outreach and maintaining the group’s web presence, alongside broader administrative duties in an academic context.

Teaching is another core element of the post. The successful candidate will teach practical programming and data science courses and supervise students in the Data Science Lab as well as in seminar and thesis projects. The position is embedded in an international research environment with access to state-of-the-art computing infrastructure.

Funding details

Available

What's required

A doctorate (PhD) in mathematics, computer science, physics or a related field is required. Postdoctoral experience in academia or practical experience in a relevant field is an advantage. Applicants should have strong technical understanding, solid programming skills preferably in Python, C++ or Julia, experience with modern machine learning libraries such as PyTorch, JAX or TensorFlow, and ideally knowledge of administering Linux-based systems or HPC environments. Enthusiasm for teaching and working with students, organisational skills, initiative, independence, excellent written and spoken English, and good German are expected or advantageous.

How to apply

Send the application as a single PDF by email to [email protected]. Address it to Prof. Dr. Jakob Zech and include a letter of motivation, CV, copies of certificates, list of publications, and if available, a list of courses taught and teaching evaluations.

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Professors

Prof. Dr. at Heidelberg University

University Name
Country flag

Germany

Research Interests

Computational Neuroscience

Algebra

Nonconvex Analysis

Convolution Theory

Complex Analysis