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Offer 296 out of 354 from 05/05/23, 07:30

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Tech­ni­sche Uni­ver­sität Ber­lin - Faculty IV - Institute of Software Engineering and Theoretical Computer Science/ Quality and Usability Lab

Research Assistant - salary grade E 13 TV-L Berliner Hochschulen

part-time employment may be possible

The Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin (Prof. Klaus Robert Müller / Prof. Volker Markl) is looking for a research assistant in the field of machine learning and computational linguistics for an agility subproject. The project will be carried out in close cooperation with the German Research Center for Artificial Intelligence in the "Speech and Language Technology" research group, which is headed by Prof. Sebastian Möller.

The research group develops, among other things, methods for information extraction from natural language texts. The goal of the project "Cross-Language Information Extraction and Verification for Adverse Drug Reaction Assessment" is to develop new approaches for the detection of adverse drug reactions from social media.

Working field:

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.

Requirements:

  • Successfully completed university degree (master, diplom or equivalent) in computational linguistics or computer science
  • Experience in natural language processing and machine learning
  • Very good programming skills in Python, especially in the Huggingface and PyTorch/TensorFlow libraries.

Previous experience in one or more of the following areas is preferred:
  • Few-Short Learning
  • Cross-lingual information extraction
  • Creation of medical corpora and handling of annotation tools like brat or prodigy
  • Basic knowledge in the field of adverse drug reactions
  • Experience working in an international team
  • Sufficient language proficiency to teach classes in bioth
  • Very good command of German and English required
  • Basic knowledge of other languages, for example French

How to apply:

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 bewerbung@qu.tu-berlin.de 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