Job
- Level
- Junior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Salary
- from 53.270 € Gross/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop generative AI models for autonomous design space exploration and optimization of complex automotive systems while considering multiple constraints.
Job Technologies
Your role in the team
- As a Doctoral Candidate at AVL, you will conduct research in Computational Engineering, focusing on the autonomous generation and optimization of engineering designs through generative AI and computational search techniques.
- Your work will develop methods for exploring vast design spaces, evaluating engineering feasibility, and synthesizing solutions to complex automotive design and system optimization problems.
- Development of generative AI models for autonomous design space exploration in automotive engineering.
- Computational methods for evaluating and optimizing engineering designs against multiple constraints and objectives.
- Integration of symbolic and learning-based approaches for rule-based engineering formulation and synthesis.
- Application of generative techniques to physical design problems (components, structures, systems in powertrain and vehicle development).
- Collaboration with academic partners on explainability and transparency in generative AI systems.
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Our expectations of you
Education
- Completed education (University or University of Applied Sciences, University of Technology, or comparable) with a focus on Computer Science, Software Engineering, or a closely related discipline, with completion by August 2026 at the latest and eligibility for admission to a doctoral program are required.
Qualifications
- Strong foundational knowledge in Large Language Models, AI agents, machine learning, software architecture, or cyber-physical systems.
- Ability to work independently and collaborate effectively in interdisciplinary teams.
- Very good knowledge of English.
Experience
- Experience in LLM/RAG software development with Python and SQL; Rust or comparable systems-level programming skills are an advantage.
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What we offer
- The Doctoral Candidate will be employed for 36 months as part of the "Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments (GREET)" project, funded by Horizon Europe under the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks, Grant No. 101226624.
- The Doctoral Candidate will be enrolled in the PhD program at Vienna University of Technology (TU Wien), Faculty of Informatics, with the 36-month appointment based at AVL in Graz, Austria, under conditions aligned with MSCA regulations for Doctoral Candidates.
- Various working time models, flextime and the possibility of working from home.
- Contributing to a safer and more sustainable future of mobility.
- Personalized onboarding process including a mentoring system.
- Due to the Austrian Equal Treatment Act, we are obligated to state the annual gross remuneration (full-time) for this position as a basis for negotiation: €53,270.00.
- The employee will be classified according to the Collective Agreement for Employees of Industry (Collective Bargaining Agreement of the Automotive Industry).
- We will, in any case, offer market-conforming payment taking qualifications and professional experience into account.
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Benefits
Work-Life-Integration
- 🐕Animals Welcome
- 🏝Extra Holidays
- 🏠Home Office
- 🚌Excellent Traffic Connections
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
- ⏸Educational Leave/Sabbatical
Health, Fitness & Fun
More net
- 💻Company Notebook for Private Use
- 🛍Employee Discount
- 📱Company Phone for Private Use
- 👴🏻Company Retirement Provision
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
AVL LIST
Graz
AVL is a world-leading provider of mobility solutions. We develop, simulate and test technologies for the automotive industry and other sectors. With our innovative products and services, we help our customers shape the future of mobility.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Electronics, Automatization, Engineering Industry
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.5
Career Growth
3.1Workingconditions
4.1Engineering
2.9Culture
3.8