PhD on Human-Centric Large Language Models (m,f,x), for 3 years, 39.83 hours per week, TVL E13

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PhD on Human-Centric Large Language Models (m,f,x), for 3 years, 39.83 hours per week, TVL E13 in Bochum

PhD on Human-Centric Large Language Models (m,f,x), for 3 years, 39.83 hours per week, TVL E13 in Bochum, Deutschland

Stellenangebot als Informatiker/in in Bochum , Nordrhein-Westfalen, Deutschland

Stellenbeschreibung | Jobbörse Arbeitsagentur

PhD on Human-Centric Large Language Models (m,f,x), for 3 years, 39.83 hours per week, TVL E13

The Chair of Computing and Society is working on research elements and theoretical developments as well as practical applications in the area of “Large Language Models”. The research will play a crucial role in the development of our new research center and the dissemination of trusted technology to the general public.

Conducting empirical and theoretical research that investigates the function of Large Language Models (LLMs). Analyzing quantitative data and evaluating result models. Collaborating with researchers from various disciplines to develop innovative approaches for human-centered use of LLMs.

extent: full-time
duration: temporary   beginning: from 15.01.2025
application deadline:
18.11.2024

Your tasks:

- Conduct empirical and theoretical research that examines the function of Large Language Models (LLMs)
- Design and execute controlled experiments to assess how LLM outputs align with societal values
- Train and fine-tune LLMs
- Independently analyze quantitative data
- Collaborate with researchers from different disciplines to develop innovative approaches for human-centered use of LLMs

Your profile:

- Bachelor’s or Master's degree in Computer Science, Mathematics or Statistics.
- Solid grasp of the fundamental ML concepts like bias-variance tradeoff, generalization and cross-validation.
- Prior working experience with NLP and LLMs.
- Experience with Python and ML frameworks like PyTorch and HuggingFace Transformers.
- High proficiency in English, both written and spoken, for scientific publications and presentations

[https://jobs.ruhr-uni-bochum.de/jobposting/9e8a65d6205096831a9fc9932e33761c4d21329c0?ref=AfA](https://jobs.ruhr-uni-bochum.de/jobposting/9e8a65d6205096831a9fc9932e33761c4d21329c0?ref=AfA)
Bundesagentur für Arbeit

Bundesagentur für Arbeit

Vollzeit
Nordrhein-Westfalen
Deutschland

Anfangsdatum

2024-11-03

Ruhr-Universität Bochum

Universitätsstr. 150

44801

Universitätsstr., 44801, Bochum, Nordrhein Westfalen, Deutschland

www.ruhr-uni-bochum.de

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Veröffentlicht:
2024-11-03
UID | BB-672773099f204-672773099f205
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ARBEIT
Vollzeit

Informatiker/in

PhD on Human-Centric Large Language Models (m,f,x), for 3 years, 39.83 hours per week, TVL E13

Bochum

PhD on Human-Centric Large Language Models (m,f,x), for 3 years, 39.83 hours per week, TVL E13

The Chair of Computing and Society is working on research elements and theoretical developments as well as practical applications in the area of “Large Language Models”. The research will play a crucial role in the development of our new research center and the dissemination of trusted technology to the general public.

Conducting empirical and theoretical research that investigates the function of Large Language Models (LLMs). Analyzing quantitative data and evaluating result models. Collaborating with researchers from various disciplines to develop innovative approaches for human-centered use of LLMs.

extent: full-time
duration: temporary beginning: from 15.01.2025
application deadline:
18.11.2024

Your tasks:

- Conduct empirical and theoretical research that examines the function of Large Language Models (LLMs)
- Design and execute controlled experiments to assess how LLM outputs align with societal values
- Train and fine-tune LLMs
- Independently analyze quantitative data
- Collaborate with researchers from different disciplines to develop innovative approaches for human-centered use of LLMs

Your profile:

- Bachelor’s or Master's degree in Computer Science, Mathematics or Statistics.
- Solid grasp of the fundamental ML concepts like bias-variance tradeoff, generalization and cross-validation.
- Prior working experience with NLP and LLMs.
- Experience with Python and ML frameworks like PyTorch and HuggingFace Transformers.
- High proficiency in English, both written and spoken, for scientific publications and presentations

[https://jobs.ruhr-uni-bochum.de/jobposting/9e8a65d6205096831a9fc9932e33761c4d21329c0?ref=AfA](https://jobs.ruhr-uni-bochum.de/jobposting/9e8a65d6205096831a9fc9932e33761c4d21329c0?ref=AfA)

Ruhr-Universität Bochum

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2024-11-03