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- Aufgaben: Dive into cutting-edge research on distributed AI for mobility use cases like object detection.
- Arbeitgeber: Join DENSO, a leader in automotive components and systems, partnered with the Technical University of Munich.
- Mitarbeitervorteile: Enjoy 30 vacation days, flexible hours, and the option to work from home.
- Warum dieser Job: Be part of innovative research that impacts privacy-aware AI and vehicle data analysis.
- Gewünschte Qualifikationen: Master’s degree in relevant fields and strong programming skills required.
- Andere Informationen: Participate in conferences and publish your research while enjoying a diverse, international team.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Ph.D. Student (m/f/d) on distributed AI (with Technical University of Munich)
- Full-time
As an automotive supplier, DENSO is leading in developing and providing components and systems for heating, air conditioning, motor cooling, exhaust gas aftertreatment, automotive electrics and electronics and instrumentation.
The focus of this position is on distributed AI for mobility use cases, such as object detection or movement prediction. Distributed AI means that data is held locally, which leads to privacy aware AI. Recent progress in federated learning has shown that distributed AI can be highly competitive and furthermore enables local customization or personalization.
The main goal of this research position is to design, apply and validate distributed AI algorithms on vehicle data and contribute to leading-edge research.
The main objectives are:
- Conduct research that is related to vehicle data analysis using latest distributed AI technology
- Contribute to the project with demonstrators and evaluation in collaboration with the project partners
- Discuss results with DENSO-internal R&D teams to collect feedback and help applying project results in product development and related research
This Ph.D. position is limited in time and supports the enrollment in the doctoral program of the Technical University of Munich. When applying for this position please submit your university transcripts together with your CV.
We are looking for a driven person with the desire to do high-quality research.
Minimum requirements:
- Master’s degree or equivalent in one of the following fields: computer science, artificial intelligence, machine learning, electrical engineering, mathematics, statistics, data science or physics
- Strong analytical and problem-solving skills
- Excellent programming skills and solid mathematical background
- Experience in AI including neuronal networks and other techniques
- Excellent written and verbal communication skills in English
- Participate in academic conferences and publish research results in peer-reviewed conferences and journals
Attractive remuneration: 13 monthly salaries, Givve card topped up with €50 each month and optional allowances
Work-Life balance: 30 days of vacation and a flextime model for flexible working hours
Home office: Possibility to work from home
Development: Wide range of trainings and education opportunities
Employee benefits: Attractive leasing offers, additional private health insurance, free employee advice assistance hotline and much more
Health: Yearly health & wellbeing days, Urban Sports Club membership
Attractive working environment: Modern offices, canteen onsite and free parking
International company: Career opportunities in a global environment
Open company culture: Diverse, multicultural team
Events: Regular company & team events
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Ph.D. Student (m/f/d) on distributed AI (with Technical University of Munich) Arbeitgeber: DENSO CORPORATION
Kontaktperson:
DENSO CORPORATION HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Ph.D. Student (m/f/d) on distributed AI (with Technical University of Munich)
✨Tip Number 1
Make sure to familiarize yourself with the latest advancements in distributed AI and federated learning. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the academic community by attending conferences or workshops related to AI and mobility. Networking with professionals in the field can provide valuable insights and potentially lead to collaborations.
✨Tip Number 3
Prepare to discuss your previous research experiences and how they relate to vehicle data analysis. Be ready to showcase your problem-solving skills and analytical thinking through specific examples.
✨Tip Number 4
Since communication is key, practice explaining complex AI concepts in simple terms. This will be crucial when discussing results with DENSO's internal R&D teams and ensuring your ideas are understood.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Ph.D. Student (m/f/d) on distributed AI (with Technical University of Munich)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. This will help you tailor your application to highlight relevant experiences and skills.
Highlight Relevant Experience: In your CV and cover letter, emphasize your Master's degree and any relevant experience in computer science, AI, or machine learning. Mention specific projects or research that align with distributed AI and vehicle data analysis.
Prepare Your Documents: Gather all necessary documents, including your university transcripts and an updated CV. Ensure that your CV is clear, concise, and showcases your analytical skills, programming abilities, and communication strengths.
Craft a Strong Cover Letter: Write a compelling cover letter that expresses your passion for high-quality research and your interest in distributed AI. Discuss how your background and skills make you a great fit for this Ph.D. position and how you can contribute to DENSO's projects.
Wie du dich auf ein Vorstellungsgespräch bei DENSO CORPORATION vorbereitest
✨Showcase Your Research Passion
Make sure to express your enthusiasm for high-quality research in distributed AI. Discuss any relevant projects or papers you've worked on, especially those related to vehicle data analysis or federated learning.
✨Demonstrate Technical Proficiency
Be prepared to discuss your programming skills and mathematical background. Highlight specific programming languages and tools you are proficient in, particularly those relevant to AI and machine learning.
✨Communicate Clearly
Since excellent written and verbal communication skills are essential, practice explaining complex concepts in a clear and concise manner. This will help you convey your ideas effectively during the interview.
✨Engage with the Interviewers
Show interest in the company's projects and ask insightful questions about their work in distributed AI. This demonstrates your engagement and helps you understand how you can contribute to their goals.
