Research Assistant

The Department of AI and Land Use Change at the Technical University of Berlin is seeking to fill a position as a research assistant in the subproject “AI-based resource availability assessment model for the growth of raw materials for fungal composites” as part of the Collaborative Research Center “MY-CO BUILD: Biotechnological production, characterization, and sustainability assessment of fungus-based building materials”. The aim of the subproject is to develop an AI-based assessment model for resource availability for the growth of raw materials for fungal-based building materials based on climate, soil, and land use data. The opportunity to pursue a doctorate is available.

• Successfully completed university degree (Master, Diplom, or equivalent) in geosciences, meteorology, geoinformatics, physics, computer science, mathematics, biotechnology
• Very good programming skills (Python)
• Experience in evaluating geoscientific data sets
• Good knowledge of German and/or English required; willingness to acquire the respective missing language skills.
• Experience in machine learning/deep learning/big data analysis is desirable
• Experience in modeling extreme events is desirable
• Commitment, ability to work in a team, and ability to work independently and on your own initiative is desirable

We offer you support and encouragement in continuing education and training measures, the opportunity to work in a dynamic, motivated, and young team, exciting and varied activities in a cutting-edge research environment, and openness to flexible working time models within the framework of TU Berlin's guidelines on mobile working.

Please send your application with the reference number and the usual documents (combined in a single pdf file, max. 5 MB) only by email to Prof. Dr. Annette Rudolph (annette.rudolph@tu-berlin.de).

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.