Machine learning engineer Jobs in Rackwitz

The UFZ

The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission : Our research seeks to find a balance between social development and the long-term protection of our natural resources.

The job

Are you passionate about cutting-edge research at the intersection of machine learning (ML) and environmental sciences? Do you want to contribute to solving complex challenges in reactive transport modelling using advanced computational techniques? If so, we invite you to apply for a Scientist / PostDoc position in our dynamic research team!

Your tasks

Being part of the OpenWorkFlow project, this position aims to enhance reactive transport modelling by integrating state-of-the-art machine learning methods. Reactive-transport models are critical for understanding and predicting the movement and biogeochemical transformation of contaminants in natural and engineered systems, such as predicting the spread and fate of radionuclides within and around deep geological repositories. However, these models are often computationally expensive and limited by uncertainties in input parameters. This scientist with the possibility of a PhD / PostDoc project will explore how ML may enhance the efficiency, resolution, and predictive power of reactive transport simulations, opening new avenues for environmental and geoscience applications. The candidate will join the department of Environmental Informatics and is tasked, after an intense basic research phase, to finally implement the successfully tested ML techniques into the OpenGeoSys software environment ( www.opengeosys.org). This project is under the lead of UFZ but will be conducted together with the Helmholtz-Centre for Geosciences in Potsdam. The successful candidate will work under the supervision of / in close cooperation with Dr. Haibing Shao (UFZ), Dr. Philipp Selzer (UFZ), and Dr. Marco De Lucia(GFZ).

The research work of this position is also linked to the EURAD and DECOVALEX projects, in which inter-code benchmarking and comparisons are conducted on an international level.

Main tasks are :

• Develop and implement novel ML algorithms to improve reactive transport modelling.
• Work with datasets from literature and numerical simulations.
• Collaborate with a multidisciplinary team of environmental- and geoscientists, hydrogeologists, engineers, physicists, and     computer scientists.
• Publish your findings in high-impact journals and present at international conferences.

We offer

Your profile

The job

Are you passionate about cutting-edge research at the intersection of machine learning (ML) and environmental sciences? Do you want to contribute to solving complex challenges in reactive transport modelling using advanced computational techniques? If so, we invite you to apply for a Scientist / PostDoc position in our dynamic research team!

Place of work

Leipzig, mobile working is possible

Working time

Start of employment : asap, from July 1st, 2025.

The job position is available for full-time or part-time employment.

Contract limitations

limited contract / For PostDoc, working time 100% (39 h per week), limited to two years (24 m); For scientist with the possibility of a PhD, working time 65%, limited to three years (36 m).

Salary

Remuneration according to the TVöD public-sector up to pay grade 13 including attractive public-sector social security benefits.

Contact

Your contact for any questions you may have about the job :

Dr. Haibing Shao ( [email protected] )

Dr. Philipp Selzer ( [email protected] )

Your application

Please submit your application via our online portal with your cover letter, CV (please omit your photo , age, or marital status) and relevant attachments.

Diversity and Inclusion

The UFZ has a strong commitment to diversity and actively supports equal opportunities for all employees regardless of their origin, religion, ideology, disability, age or sexual identity.

We look forward to applications from people who are open-minded and enjoy working in diverse teams.

Apply now

Application deadline : 16.04.2025