Start searching
Back to Jobs
Full timeTechnology

Master Thesis Student (m/f/d) - Efficient AI for Autonomous Driving

DENSOEching, BY🇩🇪Germany

Why this role stands out

Embark on a cutting-edge Master's thesis at DENSO, contributing to the advancement of efficient AI for autonomous driving and gaining invaluable experience in a leading automotive supplier. This hybrid role offers a fantastic opportunity to develop your skills in machine learning and data analysis while working on impactful research with flexible work arrangements. Apply now to be part of shaping the future of automotive technology.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationEching, BY, Germany
Machine LearningComputer VisionDeep LearningPythonData Analysis

Job description

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.

Vision Language Action (VLA) models show strong performance for data-driven autonomous driving using latest AI technology. As VLA systems combine LLMs for text input, computer vision encoder and complex action generation, the system often consume considerable resources and memory. A recent line of research is focusing on more efficient VLA models, mainly by optimizing how the different modules VLAs interact.

This master’s thesis focuses on evaluation, benchmarking and enhancing of VLA models which focus on efficiency The project involves systematic evaluation of different VLA systems and optimization techniques on realistic benchmarks.

Key Research Areas:

  • Review of VLA models for autonomous driving regarding efficiency
  • Quantitative evaluation of VLA systems and features regarding inference efficiency (time, memory)
  • (optional) Enhancements of VLA systems for inference, integrating or combining different mechanisms for efficiency improvement

This position is only for students enrolled in a university looking for a Master Thesis. For students at TUM in München, thesis supervision from university side can be provided. For others, this needs to be agreed with their home university.

     

    • Currently enrolled in a computer science / engineering Master studies with a focus on data analysis, automotive, engineering or similar
    • Interest in autonomous driving and machine learning
    • Basic understanding of deep learning and model training
    • Ability to read and modify research codebases
    • Proficiency in Python
    • Experience with VLA is a plus
    • Home office: Possibility to work from home
    • Health: Yearly health & wellbeing days, Urban Sports Club membership
    • Attractive working environment: Modern offices, canteen onsite and free parking
    • Open company culture: Diverse, multicultural team
    • Events: Regular company & team events

    It has come to our attention that various individuals have contacted people offering false employment opportunities with DENSO. Such scams are fraudulent and intended to steal from the victims.

    By making you aware of this, we hope to avoid and ultimately stop victims from falling for this scam. Please do not provide any personal or financial information and do not send any money to anyone you suspect of recruitment fraud.

    If you are contacted by someone whom you suspect may not be appropriately representing DENSO, please email: EU_DIEU_TALENTACQUISITION@eu.denso.com. Please forward the original email that you received that includes the original subject line and complete header information.

    Do not send CVs or vacancy applications to that email address as it will not be reviewed or considered. If you wish to apply for a job, please submit your application for an open position to https://careers.smartrecruiters.com/DENSOINTERNATIONALEUROPE

    Similar jobs

    ApplyOr apply on DENSO's site