Postdoc Artificial Intelligence for Chemical Risk Prediction (m/f/d)

Reference number: L 10 32 02 26

Term limitation:

limited for 6 years

Beginning:

01.05.2026

Location:

Landau

Scope:

Full time (39 hours/week)

Remuneration:

E 13 TV-L

Faculty:

Natural and Environmental Sciences "iES - Working Group Ecotoxicology & Environment"

With about 17,000 students, more than 300 professorships and around 160 degree programs, the University of Kaiserslautern-Landau (RPTU) is the technical university of the state of Rhineland-Palatinate. As a place of top international research, it offers excellent working conditions and career opportunities. Those who study, research or work at RPTU experience a cosmopolitan environment and shape the future.

The Campus Landau, faculty Natural and Environmental Sciences, iES Landau, Institute for Environmental Sciences offers the position of a Postdoc Artificial Intelligence for Chemical Risk Prediction. The position will be part of a team evaluating the presence and ecological effects of environmental chemicals on large spatio-temporal scales. We apply meta-analysis, geostatistics, graph databases, modeling, machine learning and semantic web technologies to analyse and link these data. We furthermore aim to present the results using innovative and appealing web approaches. The position is part of the Carl-Zeiss project “AI4ChemRisk” (AI for Chemical Risk Prediction in Aquatic Environments) collaborating with leading research groups in AI, Machine-Learning and Environmental Data Science at the RPTU and abroad.

Your area of responsibility:

Integration of chemical data using ontologies
Prediction of molecular properties
Interactive visualization tools
Large language models for natural language interaction
Stakeholder engagement, outreach, and collaboration

Your requirements profile:

Successful candidates will hold a diploma or MSc and a PhD in a topic relevant to (data-driven) Ecotoxicology or Environmental Informatics. We prefer experience in data science, specifically in the representation of complex spatio-temporal environmental or ecological data. However, other contributions to our main tasks are also considered.

We offer:

Health promotion

Family Service Center

Vocational Training

Flexible working hour and

home office

Jobticket

Retirement provision

Sport & Fitness programms

Culture & Leisure offers

Local recreation in the Palatinate Forest

Work in a motivated, innovative team focusing on data-driven ecotoxicology
Integration into various ecotoxicological research tasks of national to global scopes
Flexible work environment
Flat hierarchies

RPTU stands for diversity among all employees. We welcome applications from all interested parties, regardless of their ethnic and social origin, age, religion, gender, disability and sexual orientation or identity. Preference will be given to severely disabled persons and persons equivalent to them if they have the appropriate qualifications and suitability.

The RPTU aims to increase the proportion of women in areas where women are underrepresented. Applications from researchers from abroad are expressly encouraged. The position can also be filled on a part-time basis. The appointment will be subject to the German law on fixed-term contracts in science (WissZeitVG).

Your application:

We look forward to receiving your detailed application (CV, references, etc.) by 25.03.2026 at the latest.

Please submit your application using the "Online Bewerbung" button below or via our application portal (https://jobs.rptu.de).

For further questions, please contact Prof. Dr. Ralf Schulz (E-mail: r.schulz@rptu.de).

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Postdoc Artificial Intelligence for Chemical Risk Prediction (m/f/d)

Postdoc Artificial Intelligence for Chemical Risk Prediction (m/f/d)