Research Associate / Doctoral Researcher (all genders welcome)

Georg-August-Universität Zentr. Universitätsverwaltung; Göttingen; Vor Ort; EUR 54.000 - 62.000; Vollzeit

Benefits dieser Stelle

Fully funded doctoral position

Close supervision and mentoring

Access to CPU and GPU resources and to

High-performance computing clusters

International, collaborative and open‑

Zusammenfassung

The University of Göttingen invites applications for a Research Associate / Doctoral Researcher in the Institute for Theoretical Physics. The project focuses on machine-learning methods to accelerate event generation and phase-space integration for high-energy physics, aiming to produce unbiased simulations with modern generative models.

The fixed-term position spans four years, funded by zukunft.niedersachsen, with English as the working language and strong emphasis on open science and

Qualifikationen

• The position requires a Master’s degree in physics, computer science, data science, mathematics or a closely related field.
• A background in machine learning, scientific computing or particle physics is essential; experience in another related area is a plus.
• Experience with Python is expected; knowledge of C++ is advantageous.
• Strong ability to communicate scientific results in English, both in writing and speaking.
• Interest in independent work and interdisciplinary collaboration.

Aufgaben

• Develop, implement and validate modern methods for event generation and phase-space integration.
• Benchmark generative models, learned samplers or neural surrogates against established approaches.
• Contribute to an open-source library and present results in journals and conferences.
• Collaborate with event-generator developers and CIDAS teams.

Kenntnisse

Machine learning

Scientific computing

Particle physics

Python programming

English communication

Interdisciplinary teamwork

Research software engineering

Ausbildung

Master's degree in physics, computer science, data science or closely related field

Tools

PyTorch

JAX

Monte Carlo methods

High-performance computing

GPU computing

Jobbeschreibung

At the University of Göttingen - Public Law Foundation -, Institute for Theoretical Physics, the following position is available:

Research Associate / Doctoral Researcher (all genders welcome)

Salary group 13 TV-L, 100 % (currently 39.8 hours/week)

Machine Learning for Efficient and Unbiased Simulation in High-Energy Physics

The position is fixed-term for a period of four years and is offered subject to the approval of funding.

About the project

The position is part of the junior research group Production-ready AI for unbiased simulation in high energy physics led by Dr. Timo Janßen and funded by zukunft.niedersachsen. The High-Luminosity LHC will require simulated event samples of unprecedented size and precision, and producing them with established Monte-Carlo methods is increasingly costly. The group develops machine-learning methods that accelerate event generation and phase-space integration while remaining unbiased, and makes them available to the community in a modular open-source library. The work is carried out in close exchange with event-generator developers and with the machine-learning and statistics groups at the Campus Institute Data Science (CIDAS).

The doctoral project will develop, implement and validate modern methods for event generation and phase-space integration, such as generative models, learned samplers or neural surrogates, benchmark them against established approaches, contribute to the group's open-source library, and present the results in international journals and at conferences.

Your profile

• A Master's degree (or equivalent), completed by the start of employment, in physics, computer science, data science, mathematics or a closely related field
• A background in at least one of the following areas: machine learning, scientific computing and particle physics; experience in a second of these areas is an advantage
• Experience with scientific programming, for example in Python; knowledge of C++ is a plus
• An interest in the mathematical and computational foundations of the methods you work with
• The ability to communicate scientific results in English, in writing and in discussion
• Interest in working both independently and together with others in an interdisciplinary team
• Experience with machine-learning frameworks such as PyTorch or JAX, with generative models, Monte Carlo methods, collider phenomenology, high-performance or GPU computing, or with research software engineering is an advantage, but not a requirement. German language skills are welcome but not necessary, as English is the working language of the group.

What we offer

• A fully funded doctoral position in a new, interdisciplinary research group at the interface of particle physics, machine learning and scientific computing
• Close supervision and mentoring, and integration into the doctoral training environment of the University of Göttingen
• Access to modern CPU and GPU resources and to high-performance computing clusters
• An international, collaborative and open-science-oriented environment, and a historic university town with a high quality of life

The position is intended to support the qualification of early-career researchers and offers the opportunity to pursue a doctorate. The position is suitable for part-time work.

The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The University is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant.

Applications must be received by 21 September 2026.

For questions about the position, please contact Dr. Timo Janßen, E-Mail: [e-mail].