Postdoc Artificial Intelligence for Chemical Risk Prediction (m/f/d)
Postdoc Artificial Intelligence for Chemical Risk Prediction (m/f/d)
Postdoc Artificial Intelligence for Chemical Risk Prediction (m/f/d)
Postdoc Artificial Intelligence for Chemical Risk Prediction (m/f/d)
Rheinland-Pfälzische Techn. Univers. Kaiserslautern-Landau Standort Landau
Erziehung, Bildung, Wissenschaft
Landau in der Pfalz
- Art der Beschäftigung: Vollzeit
- Vor Ort
- Zu den Ersten gehören
Postdoc Artificial Intelligence for Chemical Risk Prediction (m/f/d)
Über diesen Job
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.
Further informations: https://jobs.rptu.de/jobposting/9b691f29381eb2342b841cfec9361f368fc62ca00 (https://jobs.rptu.de/jobposting/9b691f29381eb2342b841cfec9361f368fc62ca00)
Bereitgestellt in Kooperation mit der Bundesagentur für Arbeit.