Research Associate (f/m/d)

Universität Heidelberg; Heidelberg; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

HPC access

International research environment

Professional development

Job summary

Heidelberg University invites applications for a permanent, full-time Research Associate (f/m/d) in the Institute for Mathematics, within the Scientific Machine Learning group, to support the new Master’s program MMLDS, and to advance teaching and research activities.

The role includes coordinating the program, managing technical infrastructure and HPC resources, contributing to ML research, and teaching practical programming and data science courses.

Qualifications

• PhD in a related field.
• Strong programming skills (Python, C++, Julia).
• Experience with modern ML libraries (PyTorch, JAX, TensorFlow).
• Fluency in English; German is an advantage.

Responsibilities

• Programme coordination for the new Master’s program MMLDS.
• Technical management and HPC infrastructure support.
• Research contributions in Scientific Machine Learning.

Skills

Python

C++

Julia

Education

PhD in Mathematics, Computer Science, Physics or related field

Tools

PyTorch

JAX

TensorFlow

Job description

The Institute for Mathematics at Heidelberg University invites applications for the following position in the research group Scientific Machine Learning (Prof. Dr. Jakob Zech), to be filled at the earliest possible date (permanent, full-time 100%). Research Associate (f/m/d) Provided the requirements under civil service and budgetary law are met, an appointment as a civil servant (Akademische Rätin / Akademischer Rat) is possible.

Your responsibilities

• Programme coordination: Supporting the implementation and further development of the new Master's programme “Mathematics of Machine Learning and Data Science (MMLDS)” in both organisational and academic respects
• Technical management and infrastructure: Setting up, operating and further developing the institute's technical infrastructure as well as the technical platform of the module “Data Science Lab” in the MMLDS Master's programme in support of teaching and research (including the administration of HPC resources with GPUs)
• Research: Contributing to research projects in Scientific Machine Learning and related fields
• Science management: Supporting the public outreach of the institute and the group (e.g. website) and administrative tasks in an academic context
• Teaching: Teaching courses, in particular in practical programming training and data science, as well as supervising students in the Data Science Lab and in seminar and thesis projects. The teaching load is determined by the Baden-Württemberg regulations on teaching obligations (Lehrverpflichtungsverordnung, LVVO) as amended.

Your profile

• A doctorate (PhD) in mathematics, computer science, physics or a related field. Postdoctoral experience in academia or practical experience in a relevant field is an advantage.
• Strong technical understanding and solid programming skills (preferably in Python, C++ or Julia)
• Experience with modern machine learning libraries (e.g. PyTorch, JAX, TensorFlow) and ideally knowledge of administering Linux-based systems/HPC environments
• Enthusiasm for teaching and working with students
• Organisational skills, initiative and the ability to work independently
• Excellent written and spoken English; good command of German is an advantage

We offer

• A responsible and varied position in an excellent, international research environment
• Opportunities for professional and personal development
• Access to state-of-the-art computing infrastructure (HPC cluster)

Remuneration is according to pay grade E13 TV-L, including the social benefits customary in the public sector, or according to A13 of the State Civil Service Pay Scale (Landesbesoldungsordnung).

Heidelberg University stands for equal opportunities and diversity. Qualified women are strongly encouraged to apply. Persons with severe disabilities will be given preference if equally qualified. Information on job advertisements and data protection can be found at www.uni-heidelberg.de/en/job-market.