The Ubiquitous Knowledge Processing (UKP) Lab and the research group Trustworthy Human Language Technologies (TrustHLT) at the Department of Computer Science of the Technical University of Darmstadt, Germany have four job openings for
**Research scientists (m/f/d)**
in the recently acquired projects funded by the National Research Center for Applied Cybersecurity ATHENE in the research area of Security and Privacy in Artificial Intelligence (SenPAI).
These positions will focus on research questions related to privacy- preserving natural language processing. As part of our work in digital mental health, the project “Privacy-Aware Domain-Adaptive Medical NLP”
will explore and evaluate different approaches to privacy methods for dataset creation and deep learning in the medical domain. This project covers a variety of tasks, from semi-automatic de-identification to synthetic training data generation and downstream tasks. The latter require research in large language models for clinical applications in close collaboration with experts from the psychiatric domain. The project “Protecting Privacy and Sensitive Information in Texts” touches the heart of privacy preservation in NLP and will explore a wide range of domain-agnostic techniques. A solid background in machine learning for natural language processing is essential, prior knowledge of formal privacy methods such as differential privacy, or experience in clinical NLP is a plus. The salary is based on the collective agreement applicable to the TU Darmstadt (TV-TU Darmstadt). The starting date is as soon as possible.
The ideal candidate holds a PhD (for a Post-Doc position) or Master degree (for a PhD position) in computer science, computational linguistics, machine learning, or a related discipline, has a strong interest in privacy in natural language processing, excellent analytical and programming skills, is a team player, and is fluent in English.
How to apply:
Please mention NLP People as a source when applying
Please provide us with your CV including an outline of previous work or research experience, names of two referees, and a letter of motivation outlining your research interests. Submit your application via the following form by December 18, 2022:
https://careers.ukp.informatik.tu-darmstadt.de/ukprecruitment (please enter “ATHENE” as the name of the application position)