Postdoc / Senior Scientist / Group Leader: Ai-driven Data Mining for The Physical Sciences

The Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9) operates across numerous disciplines including data science, materials theory and scientific metadata design. We are seeking a highly skilled PostDoc/Senior Scientist/Group Leader to lead pioneering research at the intersection of Artificial Intelligence (AI) and the physical sciences. Your primary focus will be on developing and fine-tuning Large Language Models (LLMs) and advanced AI methodologies for data mining of scientific literature and a large range of metadata in the context of research data. By integrating AI with physics, materials science, microscopy, and engineering, you will drive fundamental scientific discoveries and contribute to the advancement of knowledge in these fields. In this role, you will bridge AI technology with domain-specific expertise to unlock new insights from vast amounts of scientific data. Collaborating with interdisciplinary teams, you will enhance semantic understanding and data interpretation through the incorporation of ontologies and knowledge.

**Your Job**:
You will support IAS-9's ML and AI activities, working in a multidisciplinary team of enthusiastic data scientists, software developers, and domain scientists. Furthermore, you will lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering. This includes:

- Designing and implementing advanced algorithms for extracting, analyzing, and interpreting content from scientific literature, software and research data repositories
- Integrating domain knowledge from, e.g., materials science, microscopy, and physics into AI models to enhance their predictive capabilities
- Incorporating ontologies and knowledge graphs to improve semantic understanding and facilitate knowledge discovery
- Driving innovation in AI methodologies that contribute to fundamental scientific research and breakthroughs
- Publishing and presenting impactful research findings in high-quality scientific journals and at international conferences
- Mentoring and supervising a multidisciplinary team of researchers and data scientists, fostering a collaborative and innovative research environment

**Your Profile**:

- Extensive experience in developing and fine-tuning LLMs as well as other Deep Learning models in a scientific context
- Strong background in physical sciences (computational materials science, microscopy, physics) or engineering and familiarity with scientific literature
- Excellent proficiency in machine learning frameworks and programming languages (e.g., TensorFlow, PyTorch, Python) as well as high performance computing
- Proven track record of publishing in reputable scientific journals and presenting at leading conferences
- Strong leadership and communication skills, with experience in managing research teams and collaborating across disciplines

**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
- Extensive occupational health management and a variety of sports activities (e.g. beach volleyball court, running groups, yoga classes, and much more)
- 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: Aachen