Research Scientist in AI-driven Simulations & Generative Design

Research Scientist in AI-driven Simulations & Generative Design

Standort

• Berlin Fraunhofer-Gesellschaft Jetzt bewerben

Zusammenfassung

• Arbeitszeit: Teilzeit
• Typ: Festanstellung

Gewünschte Fähigkeiten & Kenntnisse

• Machine Learning
• Security
• Edge
• Programmiererfahrung
• High-Performance-Computing
• CAN
• Simulation
• Origin
• Administration
• Mobile App
• Transport
• Python
• Make
• Solid
• GIT
• TVöD
• Support
• Engineering
• Flexibilität
• Engagement

Unsere Leistungen

• Homeoffice
• Supervision
• Weiterbildungsmaßnahmen

Stellenbeschreibung

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society - more precisely: 32 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

Future. Discover. Together.

The AI department at HHI is committed to advancing the field of artificial intelligence through innovative research and development. Our team focuses on creating cutting-edge solutions that enhance the explainability of AI models, develop models for relevant applications, and improve learning efficiency. Become a part of our team and join us on our journey of research and innovation!

Be part of change

Are you passionate about the intersection of artificial intelligence, physics, and engineering? Then join us in shaping the future of technical design and AI-based simulation! In this position, you will actively contribute to the application and advancement of generative methods and physics-informed learning for engineering problems. You will develop innovative approaches to intelligently generate and simulate complex technical systems - from hardware designs to molecular structures. Your responsibilities include

Ihre Aufgaben

• Independent conduct and publication of research results at top international conferences and journals (e.g., NeurIPS, ICML, ICLR)
• Development and implementation of novel model and learning architectures
• Co-supervision of Bachelor's and Master's students
• Presentation at international conferences and workshops

This scientific position offers the opportunity to pursue a PhD.

What you contribute

Ihr Profil

• Excellent Master's degree (or equivalent) in Computer Science, Physics, Mathematics, Engineering, or a related field
• Strong programming skills in Python and experience with PyTorch and/or JAX
• Strong interest in engineering problems and motivation to explore new application domains
• Experience with HPC infrastructure and collaborative tools (Git) is a plus
• Deep expertise in one of the following areas:

Generative AI

• Hands-on experience with modern generative models, such as diffusion models and flow matching
• Solid understanding of the theoretical foundations of generative methods
• Experience implementing generative models for non-standard data types
• Ideally, experience in AI for Design

ML-based simulations

• Solid theoretical foundations in partial differential equations and numerical methods
• Strong knowledge and experience with ML-based simulation methods (e.g., PINNs, Neural Operators)
• Ideally, practical experience with system identification methods (e.g., SINDy, PySR)
• Publications, conference presentations, or other scientific activities are a plus (feel free to include publications with your application)
• Ability to work independently as well as collaboratively in a structured manner
• Excellent written and spoken English skills
• On-site availability to foster creative collaboration among colleagues

Wir bieten Ihnen

• The opportunity to make significant research contributions to current topics in Scientific Machine Learning
• A highly motivated, international team and excellent hardware and computing infrastructure
• Collaboration with international experts in machine learning and participation in group activities at international conferences such as ICLR, ICML, NeurIPS, etc.
• Extremely interesting challenges in an environment that is both scientific and entrepreneurial
• Attractive salary package according to TVöD with 30 vacation days, pension plan (VBL), and employee savings scheme (VWL)
• Modern, excellently equipped workplace in the heart of Berlin
• Open and highly collaborative work atmosphere in an international team
• Flexible working hours
• Support for pursuing a PhD
• Remote work options
• Extensive training, health, and sports programs
• Various employee discounts and subsidized public transport ticket (BVG)
• Family-friendly offerings (parent-child office, emergency childcare, recreational activities)

The position is initially limited to 2 years. An extension is explicitly desired.

The weekly working time is 39 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable - for applicants with disabilities, we work together to find solutions that best promote their abilities. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Kontakt

xai-recruiting-contact@hhi.fraunhofer.de Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI www.hhi.fraunhofer.de

Profil

Fachliche Voraussetzung

• Computerprogrammierung
• Demonstrations-Fähigkeiten
• Generative AI
• Git
• Informatik
• Infrastruktur
• Kollaborationsplattform
• Künstliche Intelligenz
• Mathematik
• Numerische Analyse
• Partielle Differentialgleichung
• Physik
• Publizieren
• Python
• Pytorch
• Simulationen
• Veranstaltungsmanagement
• Zeitschriften

Persönliche Fähigkeiten

• Eigenmotivation

Schulabschluss

• Master

Sprachkenntnisse

• Englisch

Bewerbung

Jetzt bewerben

Branche:

Bildung / Forschung

Arbeitgeber:

Fraunhofer-Gesellschaft

Adresse:

Fraunhofer-Gesellschaft Pascalstr 8 9 10587 Berlin

Web:

http://www.fraunhofer.com, www.hhi.fraunhofer.de