Job
- Level
- Junior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Gehalt
- ab 53.270 € Brutto/Jahr
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du generative KI-Modelle zur autonomen Exploration von Designräumen und zur Optimierung komplexer Automobilsysteme unter Berücksichtigung verschiedener Vorgaben.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- 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.
Qualifikationen
- 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 in English.
Erfahrung
- Experience in LLM/RAG software development with Python and SQL; Rust or comparable systems-level programming skills are an advantage.
Unser Angebot
- 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.
Benefits
Work-Life-Integration
- 🐕Tiere willkommen
- 🏝Extra Urlaubstage
- 🏠Home Office
- 🚌Gute Anbindung
- 🍼Kinderbetreuung
- 🅿️Mitarbeiterparkplatz
- ⏰Flexible Arbeitszeiten
- ⏸Bildungskarenz/Auszeit
Gesundheit, Fitness & Fun
Mehr Netto
- 💻Notebook zur Privatnutzung
- 🛍Mitarbeitervergünstigungen
- 📱Handy zur Privatnutzung
- 👴🏻Betr. Altersvorsorge
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
AVL LIST
Graz
Die AVL List GmbH, mit dem Hauptsitz in Graz, ist eines der weltweit führenden Mobilitäts-Technologieunternehmen für Entwicklung, Simulation und Testen in der Automobilindustrie und in anderen Branchen.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Elektronik, Automatisation, Maschinenbau, Anlagenbau
Dev Reviews
by devworkplaces.com
Gesamt
(2 Bewertungen)3.5
Career Growth
3.1Workingconditions
4.1Engineering
2.9Culture
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