As part of Volkswagen Group Innovation, our team focuses on artificial intelligence (AI) & data analytics tasks in the development of digital services for different Volkswagen Group brands. This includes processing and analyzing vehicle data and integrating AI into digitized vehicles. The project aims to develop AI-based methods for generating multi-modal synthetic data to be used in the testing, validation, and training of Advanced Driver Assistance Systems (ADAS) and Self-Driving Systems (SDS). This involves creating consistent data across various sensors like cameras, LIDAR, and Radar, leveraging multimodal diffusion techniques.
Details
Possible Tasks within this Role
Undertaking a PhD in the research area “Multi Modal Diffusion Models,” focusing on generative AI for ADAS and Autonomous Driving (AD) systems
Training of models to enable the generation of multi-modal data sequences such as consistent images with Radar and LIDAR within a prototypical developed framework that can be used for testing and training autonomous driving systems
Testing and validating the framework within real-world settings together with various brands
Investigating such methods and publishing selected results at scientific conferences or in professional journals
The final doctoral topic is defined together with the professor. The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor of a university or research institution entitled to confer a doctorate.
AfghanistanAlbaniaAlgeriaAndorraAngolaAntigua and BarbudaArgentinaArmeniaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia and HerzegovinaBotswanaBrazilBruneiBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCentral African RepublicChadChileChinaColombiaComorosCongo: Democratic RepublicCongo: RepublicCook IslandsCosta RicaCroatiaCubaCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEast TimorEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFijiFinlandFranceGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGrenadaGuatemalaGuineaGuinea-BissauGuyanaHaitiHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsraelItalyIvory CoastJamaicaJapanJordanKazakhstanKenyaKiribatiKorea, NorthKorea, SouthKosovo UN1244 (*not recognized by majority of countries)KuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacauNorth MacedoniaMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMauritaniaMauritiusMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew ZealandNicaraguaNigerNigeriaNiueNorwayOmanPakistanPalauPalestinian AuthorityPanamaPapua New GuineaParaguayPeruPhilippinesPolandPortugalPuerto RicoQatarRomaniaRussiaRwandaSaint Kitts and NevisSaint LuciaSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth SudanSpainSri LankaSudanSurinameSwazilandSwedenSwitzerlandSyriaTaiwanTajikistanTanzaniaThailandTogoTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited States of AmericaUruguayUzbekistanVanuatuVatican CityVenezuelaVietnamWestern SaharaYemenZambiaZimbabwe
Good to very good university degree with eligibility for a doctorate in computer science, robotics, mathematics, physics, engineering, or comparable courses
Good knowledge of programming with Python, C++
Profound knowledge in machine learning (ML) and in ML frameworks such as PyTorch
English level B2
EU driving license (passenger car)
Dates
Deadline:
As soon as possible
Cost/funding for participants
Fully Funded
What we offer
Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group
Volkswagen - that's why
We want to revolutionize and shape the mobility of tomorrow sustainably. For this purpose, we are looking for talents who are willing to break completely new ground with us and are not afraid to make mistakes. We are looking for personalities who want to achieve something extraordinary. And talents who believe in the innovative power of big ideas. Are you in?