Are you passionate about using artificial intelligence to solve complex, interdisciplinary challenges? Are you interested in transforming theoretical AI concepts into practical, scalable solutions on high-performance computing (HPC) systems? If so, we invite you to join our AI Consulting Team at the Jülich Supercomputing Centre (JSC), home to Europe’s most advanced supercomputing infrastructure, including JUPITER, Europe’s first Exascale system. Our team explores new applications of AI in collaboration with the diverse scientific disciplines associated with the Helmholtz Association. Within our lab “Applied Machine Learning”, you will play a crucial role in the implementation and development of state-of-the-art machine learning applications for scientific research. Join us in shaping the future of science with AI, where your expertise will contribute to groundbreaking interdisciplinary projects.
We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities:
- Meanfull tasks: Work on frontiers of scientific and technological challenges with access to cutting-edge and unique supercomputing systems, including JUPITER, the first Exascale computer in Europe
- Work-life balance: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. Home office option as part of a hybrid working model is generally available after consultation and in line with upcoming tasks and (on-site) appointments
- Vacation: You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year’s)
- Flexibility: Flexible working time models, including options close to full-time, allow you to tailor your working hours to suit your individual needs
- Knowledge & further training: Your professional development is important to us – we provide targeted, individual support
- Successful start: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide
- Fair remuneration: Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade 13 of the TVöD-Bund (Collective Agreement for the Public Service). All information on the TVöD-Bund collective agreement can be found on the BMI website. The monthly salaries in euros can be found on page 69 ff. of the PDF download
- Additional benefits: Benefit from attractive additional services such as a company pension scheme with employer contribution. In addition to the basic salary, there is an additional year-end bonus under the collective pay agreement amounting to 75% of a monthly salary, as well as capital-forming benefits#
- Fixed-term: The position is intially limited to 2 years
- Support for international employees: Our International Advisory Service makes it easier for international employees to get started In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits
In this position, you will be an active part of our AI Consulting Team. Together with our partners, we develop new and innovative applications of Machine Learning. You will connect to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Particle Physics etc. You will be involved in all phases of this process. You will
- Identify new applications for Machine Learning in science, engineering, and technology
- Develop, implement and refine ML techniques
- Implement parallel ML training on the High Performance Computers
- Engage in national and international ML/DL communities, most importantly in the Helmholtz AI platform
- Present research results at scientific meetings, conferences, and as scientific papers
- Contribute to educational events, such as courses and hackathons
- Broad knowledge and practical experience in AI and applied Machine Learning is a must
- Excellent Master and preferably subsequent PhD degree in Computer Science, Mathematics, Physics or similar fields
- Broad interest in diverse scientific topics
- Self-motivated personality with a curiosity for working in a multidisciplinary team environment on scientifically challenging problems
- Hands-on experience with ML/DL workflows and common software libraries
- Experience with statistical machine learning, including uncertainty quantification, probabilistic modeling, and learning from noisy or incomplete data is a plus
- Practical experience with High Performance Computing (HPC) systems is an advantage
- Your experience should be documented in research papers and Open Source code projects
- Excellent communication skills in written and spoken English with extensive vocabulary are required (at least B2 level according to the CEFR), ideally supported by a certificate confirming the language level. Knowledge of the German language is not mandatory but certainly appreciated
We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options for women: https://go.fzj.de/womens-job-journey
