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BMW PhD 2026: Explainable AI and Vision-Language Models Research in Munich

BMW Group is offering a 36-month PhD opportunity in Munich focused on explainable vision-language models, AI, computer vision and crashworthiness analysis. Applications are open online.

BMW Group is inviting applications for a PhD research opportunity in Data Science in Munich, Germany. The project focuses on explainable vision-language models (VLMs), computer vision and AI-based crash analysis for automotive safety engineering.

The opportunity is part of BMW Group’s ProMotion PhD programme and has a duration of 36 months.

Opportunity Overview

DetailInformation
CompanyBMW Group
OpportunityPhD – Explainable VLMs for Anomaly Detection in Crashworthiness Analyses
LocationMunich, Germany
Job FieldData Science
Job ID195225
Legal EntityBMW AG
Start DateFrom now on
Duration36 months
Working HoursPart-time
ApplicationOnline

What the PhD Involves

The PhD researcher will work on AI-based crash video evaluation using vision-language models. The project combines machine learning, data analytics and physics-based simulations to support crashworthiness assessments in automotive safety engineering.

Key areas of work include:

  • Developing AI models for vehicle crash behaviour using modern geometric AI architectures.
  • Combining machine learning and data analytics with physics-based simulations.
  • Developing automated workflows and optimization methods for crash simulations.
  • Researching AI models for CAx applications, including CAD and CAE, within the vehicle crash design process.

Qualifications

Applicants should have a Master’s degree in Engineering, Computer Science, Mathematics or a related field.

The vacancy specifically asks for extensive knowledge of:

  • Computer vision
  • Multimodal models
  • Vision-language models
  • Transformer or CLIP-type architectures
  • Data preprocessing
  • Data annotation workflows
  • Large multimodal datasets
  • Images, videos and point clouds

Research contributions such as academic publications or conference presentations are an advantage.

Business-fluent English is required, while German language skills are listed as a plus.

Research and Technical Focus

The project provides exposure to several areas of artificial intelligence and automotive engineering, including vision-language models, computer vision, machine learning, data analytics, geometric AI, crash simulations and CAx technologies.

Candidates interested in AI research should ensure their application clearly demonstrates relevant technical and research experience.

Salary and Benefits

The vacancy states that BMW Group offers attractive and fair remuneration together with annual special payments such as vacation pay and Christmas bonus.

Other listed benefits include:

  • Comprehensive mentoring and onboarding
  • Personal and professional development
  • Flexible working hours
  • Digital offers and mobile working
  • Student apartment offers in Munich, subject to availability
  • Additional BMW Group benefits

The vacancy does not provide a specific salary amount.

Eligibility and Work Authorization

Applicants from outside the European Union must have a valid residence or work permit for the duration of the programme.

BMW also states that applications must be submitted exclusively through its online career portal. Applications sent through other channels, including email, cannot be considered.

Application Process

Interested candidates should apply online through the official BMW Group careers portal.

If selected for the next stage, candidates will receive an invitation to a video interview by email. BMW advises applicants to check their spam folders regularly.

Apply for the BMW PhD opportunity

Application Deadline

The supplied vacancy does not specify a closing date. The stated start date is from now on, and applications are being accepted through the BMW Group career portal.

Opportunities Feed Assessment

This PhD opportunity is closely focused on AI research applied to automotive crashworthiness and safety engineering. It is particularly relevant to candidates with advanced academic training in engineering, computer science, mathematics or related fields and experience with computer vision and multimodal AI.

Applicants should make their relevant research, programming, AI and multimodal-data experience clear in their application.

Frequently Asked Questions

Where is the BMW PhD based?

The opportunity is based in Munich, Germany.

How long is the PhD opportunity?

The stated duration is 36 months.

Is the PhD full-time?

The vacancy lists the working arrangement as part-time.

What degree is required?

Applicants need a Master’s degree in Engineering, Computer Science, Mathematics or a related field.

What AI skills are required?

The vacancy highlights computer vision, multimodal and vision-language models, transformers or CLIP-type architectures, data preprocessing and large multimodal datasets.

Is German required?

The vacancy lists business-fluent English as a requirement. German is described as a plus.

Is the opportunity paid?

BMW states that the opportunity includes attractive and fair remuneration, but the supplied vacancy does not specify an exact amount.

Can non-EU applicants apply?

Yes, but citizens of countries outside the European Union must have a valid residence or work permit for the duration of the programme.

Is there an application deadline?

No specific closing date is provided in the supplied vacancy.

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Ken Tafadzwa Mareyangepo is a media and communications professional and graduate of Midlands State University, where he studied Media and Society Studies with a focus on film, video, and photographic arts . With a strong interest in storytelling, digital media, and content creation, he brings valuable skills in communication, visual content, and audience engagement. As an Admin at Opportunity Feed, Ken contributes to curating and sharing global opportunities, helping connect students and professionals to jobs, internships, scholarships, and fellowships worldwide.

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