AI Consultant for Science

EURAXESS Ireland; Jülich; Remoto; EUR 60.000 - 80.000; Tempo integral

Benefícios oferecidos por esta vaga

30 days vacation

Flexible working

Company pension

Year-end bonus (75% of monthly salary)

Capital-forming benefits

Resumo da vaga

Forschungszentrum Jülich invites applications for an AI Consultant to join the AI Consulting Team at the Jülich Supercomputing Centre (JSC). The role focuses on turning theoretical AI concepts into scalable research applications on HPC infrastructure.

You will work in the lab “Applied Machine Learning,” applying ML to diverse fields such as chemistry, numerics, computational biology, astrophysics, and particle physics. A strong publication record and open-source contributions are valued.

Qualificações

• Broad knowledge and practical experience in AI and applied Machine Learning.
• Excellent Master and subsequent PhD degree in Computer Science, Mathematics, Physics, or related fields.
• Hands-on experience with ML/DL workflows and common software libraries.
• Experience with HPC systems is an advantage.

Responsabilidades

• 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.
• Present research results at scientific meetings, conferences, and as scientific papers.
• Contribute to educational events, such as courses and hackathons.

Conhecimentos

AI/ML knowledge

ML/DL workflows

English communication

Research publication

Formação

Master's + PhD in CS/Math/Physics

Ferramentas

HPC experience

Open Source projects

Descrição da vaga

Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 31 Jan 2027 - 16:37 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Area of research:

Scientific / postdoctoral posts

Job description:AI Consultant for Science

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.

Your Job

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 ( https://www.helmholtz.ai/ )
• Present research results at scientific meetings, conferences, and as scientific papers
• Contribute to educational events, such as courses and hackathons

Your Profile

• Broad knowledge and practical experience in AI and applied Machine Learning is a must
• Excellent Master and subsequent PhD degree in Computer Science, Mathematics, Physics, or other related fields with a focus on information technology or technology
• Broad interest in diverse scientific topics
• Self‑motivated personality with a curiosity for working in a multidisciplinary team environment on scientifically challenging problems
• Excellent communication skills in written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR
• 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

Our Benefits for You

• Meaningful tasks: The position offers a varied and diverse role in an international environment
• Work-life balance: Optimal conditions for balancing work and private life, as well as a family‑friendly company policy. The option of flexible working (in terms of location) 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 theBMI website

. The monthly salaries in euros can be found on page 74 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 initally limited to 2 years

In addition to exciting tasks and a collegial working environment, we offer you much more:

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:

Application Deadline: The position will be published until it is successfully filled

Index number: 2026T-0876

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.