Postdoctoral Researcher
Vor 3 Tagen
**Your Job**:
- Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering
- Developing LLM-driven agents that integrate domain knowledge to support structured chain-of-thought processes
- Benchmarking and validating models against domain-specific tasks such as retrieval, summarization, metadata extraction, and structured problem-solving
- Investigating advanced strategies for model adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG)
- Collaboration with interdisciplinary teams to enhance model performance, adaptability, and usability within physics and materials science communities
- Publication and dissemination of research findings in scientific journals and conferences
**Your Profile**:
- A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields
- Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
- Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial
- Strong programming skills (preferably Python); experience with high-performance computing (HPC) infrastructures is advantageous
- Excellent analytical and problem-solving capabilities
- Proven track record of publishing in reputable scientific journals and at the leading conferences
- Ability to effectively work in interdisciplinary and international teams
- Good communication and writing skills in English
**Our Offer**:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We support you in your work with:
- Secure employment in a dynamic, international and multidisciplinary environment of scientists from different domains and software developers
- A creative environment, with an open-minded team (local and across Germany) with heterogeneous backgrounds and expertise
- Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy supported by our Equal Opportunities Bureau
- Flexible working hours in a full-time position (39 hours/week) with the option of slightly reduced working hours
- Flexible work arrangements, e.g. working from home
- 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
- Capital-forming benefits and an employee pension scheme
Targeted services for international employees, e.g. through our International Advisory Service
Place of employment: Jülich/Aachen
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