Fraunhofer-Gesellschaft
Wissenschaftler:in KI Simulationen & generative Designs(m/w/x)
Full-time/Part-timeTemporary contractWith HomeofficeNot specified
Berlin
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FRFraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI
Research Scientist in AI-driven Simulations & Generative Design(m/w/x)
Berlin
Full-time, Part-timeWith Home Office
AI/ML
Nejo AI Summary
Applying generative methods for engineering problems with novel model architectures. Master's degree and Python with PyTorch/JAX experience required. 30 vacation days, performance bonuses.
Requirements
- Master's degree (or equivalent) in Computer Science, Physics, Mathematics, Engineering, or related field
- Strong programming skills in Python
- Experience with PyTorch and/or JAX
- Strong interest in engineering problems
- Motivation to explore new application domains
- Experience with HPC infrastructure
- Experience with collaborative tools (Git)
- Hands-on experience with modern generative models (diffusion models, flow matching)
- Solid understanding of theoretical foundations of generative methods
- Experience implementing generative models for non-standard data types
- Experience in AI for Design
- Solid theoretical foundations in partial differential equations and numerical methods
- Strong knowledge and experience with ML-based simulation methods (PINNs, Neural Operators)
- Practical experience with system identification methods (SINDy, PySR)
- Publications, conference presentations, or other scientific activities
- Ability to work independently
- Ability to work collaboratively in a structured manner
- Excellent written and spoken English skills
- On-site availability
- Detailed transcript of records
- Cover letter
Tasks
- Conduct and publish research independently
- Develop and implement novel model architectures
- Co-supervise Bachelor's and Master's students
- Present at international conferences and workshops
- Apply generative methods for engineering problems
- Advance physics-informed learning for engineering
- Generate complex technical systems intelligently
- Simulate complex technical systems intelligently
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- Git
- Generative AI
- diffusion models
- flow matching
- AI for Design
- ML-based simulations
- PINNs
- Neural Operators
- system identification methods
- SINDy
- PySR
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 vacation days
Retirement Plans
- Pension plan
- Employee savings scheme
Bonuses & Incentives
- Performance-based bonuses
Additional Allowances
- Conference participation
- PhD support
Informal Culture
- Open and collaborative work atmosphere
Learning & Development
- Training programs
Healthcare & Fitness
- Health programs
- Sports programs
Corporate Discounts
- Employee discounts
Public Transport Subsidies
- Subsidized public transport
Family Support
- Family-friendly offerings
- Parent-child office
Childcare
- Emergency childcare
Team Events
- Recreational activities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FRFraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI
Research Scientist in AI-driven Simulations & Generative Design(m/w/x)
Berlin
Full-time, Part-timeWith Home Office
AI/ML
Nejo AI Summary
Applying generative methods for engineering problems with novel model architectures. Master's degree and Python with PyTorch/JAX experience required. 30 vacation days, performance bonuses.
Requirements
- Master's degree (or equivalent) in Computer Science, Physics, Mathematics, Engineering, or related field
- Strong programming skills in Python
- Experience with PyTorch and/or JAX
- Strong interest in engineering problems
- Motivation to explore new application domains
- Experience with HPC infrastructure
- Experience with collaborative tools (Git)
- Hands-on experience with modern generative models (diffusion models, flow matching)
- Solid understanding of theoretical foundations of generative methods
- Experience implementing generative models for non-standard data types
- Experience in AI for Design
- Solid theoretical foundations in partial differential equations and numerical methods
- Strong knowledge and experience with ML-based simulation methods (PINNs, Neural Operators)
- Practical experience with system identification methods (SINDy, PySR)
- Publications, conference presentations, or other scientific activities
- Ability to work independently
- Ability to work collaboratively in a structured manner
- Excellent written and spoken English skills
- On-site availability
- Detailed transcript of records
- Cover letter
Tasks
- Conduct and publish research independently
- Develop and implement novel model architectures
- Co-supervise Bachelor's and Master's students
- Present at international conferences and workshops
- Apply generative methods for engineering problems
- Advance physics-informed learning for engineering
- Generate complex technical systems intelligently
- Simulate complex technical systems intelligently
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- Git
- Generative AI
- diffusion models
- flow matching
- AI for Design
- ML-based simulations
- PINNs
- Neural Operators
- system identification methods
- SINDy
- PySR
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 vacation days
Retirement Plans
- Pension plan
- Employee savings scheme
Bonuses & Incentives
- Performance-based bonuses
Additional Allowances
- Conference participation
- PhD support
Informal Culture
- Open and collaborative work atmosphere
Learning & Development
- Training programs
Healthcare & Fitness
- Health programs
- Sports programs
Corporate Discounts
- Employee discounts
Public Transport Subsidies
- Subsidized public transport
Family Support
- Family-friendly offerings
- Parent-child office
Childcare
- Emergency childcare
Team Events
- Recreational activities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI
Industry
Research
Description
The Fraunhofer-Gesellschaft is a leading organization for application-oriented research, developing pioneering technologies for economy and society.
Not a perfect match?
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