Postdoc, full-time, in LLM Robustness and Safety at the University of Bonn, Germany

We are expanding our core research team at the University of Bonn, looking
for a Postdoctoral Researcher in Natural Language Processing and Machine
Learning.
(The position is offered at a full-time TV-L E13 level, corresponding to
the gross salary of cca 57,000 Eur/year, covering health and social
insurance and 30 vacation days. The duration of the contract is two years,
with career growth opportunities afterwards.)

This exciting opportunity is a chance to work on adversarial robustness,
safety and explainability in machine learning, applied to modern LLMs. This
position will involve close collaboration with the Lamarr Institute for
Machine Learning and Artificial Intelligence (https://lamarr-institute.org/),
the Fraunhofer Institute for Intelligent Analysis and Information Systems
(IAIS) and the OpenGPT-X initiative (https://opengpt-x.de/). The candidate
will have a central role in a project aiming to advance the
state-of-the-art in the robustness and generalization capabilities of LLMs.

Sounds like fun? Apply here:
https://caisa-lab.github.io/resources/13-08-2023-postdoc-position.pdf

You shall have a strong background in Computer Science with a
specialization in Machine Learning or Natural Language Processing, and a
corresponding publication record in global AI/ML/NLP venues. Demonstrable
excellent python programming skills, e.g. through previous projects, and
knowledge of current neural network models and implementation tools for
neural networks (e.g., PyTorch) are expected.

Our team consists of top researchers of varied backgrounds and cultures and
we welcome applications from all appropriately qualified candidates
worldwide!

____________________
Prof. Dr. Lucie Flek
Data Science and Language Technologies
Institut für Informatik / b-it
Rheinische Friedrich-Wilhelms-Universität Bonn
Friedrich-Hirzebruch-Allee 6 / 8, Raum 2.123
53115 Bonn, Germany
Tel.: 0228-73-69200
flek-n2ovXMtoqQa6hr9I/[email protected]

########################################################################

To unsubscribe from the IR list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=IR&A=1

This message was issued to members of www.jiscmail.ac.uk/IR, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/