The goal of the project is to develop methods for the detection of adverse drug reactions. Here, the development of cross-lingual transformer architectures using transfer and few-shot learning is the main focus. Furthermore, the concrete goal is to a) identify erroneous and false information in patient forums, b) find ways to make sensitive patient-generated data usable for research, and c) explore cross-cultural and cross-lingual aspects around adverse drug reactions.
In this project we expect independent and responsible research in the described areas but also the evaluation of alternative approaches.
Please send your application with the reference number
and the usual documents (meaningful cover letter, resume and references) to Prof. Dr. Möller by email (single pdf file; max. 5 MB) to email@example.com
or by mail to Technische Universität Berlin, Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Quality and Usability Lab, Prof. Dr. Möller, TEL 18, Ernst-Reuter-Platz 7, 10587 Berlin
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guarantee 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/
or quick access 214041.
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.
Please send copies only. Original documents will not be returned.
Technische Universität Berlin - Die Präsidentin - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Quality and Usability Lab, Prof. Dr. Möller, TEL 18, Ernst-Reuter-Platz 7, 10587 Berlin