The University of Luxembourg is offering a fully funded PhD position in Artificial Intelligence and Autonomous Driving Systems at the Interdisciplinary Centre for Security, Reliability and Trust (SnT). This doctoral opportunity is part of the European research project AutHUMate, focusing on human-centered AI systems for advanced driver assistance and automated driving technologies.

The position is based in Luxembourg City and provides a strong international research environment in collaboration with academic and industry partners.

Overview of PhD Position

• Level of Study: PhD (Doctoral Researcher)

• Institution: University of Luxembourg

• Centre: SnT – Interdisciplinary Centre for Security, Reliability and Trust

• Research Group: UBIX Research Group

• Supervisor: Prof. Raphaël Frank

• Study Location: Kirchberg Campus, Luxembourg City

• Duration: 36 months (fixed-term contract)

• Salary: €41,976 per year (gross, full-time)

• Language Requirement: English (minimum B2 level)

Project Overview

This PhD is part of the AutHUMate European project, which focuses on improving interaction between humans and automated driving systems.

The research will explore:

• Adaptive human-centered AI systems for driving assistance

• Driver behavior and readiness detection using multimodal data

• Trust modeling in autonomous driving systems

• AI-based communication strategies for driver-vehicle interaction

• Simulation and real-world testing of automated driving systems

The candidate will contribute to both theoretical research and practical implementation, including open-source software development and validation experiments.

Research Environment

The selected PhD candidate will join the UBIX Research Group at SnT, one of Europe’s leading ICT research centers.

SnT is known for its strong industry collaboration in areas such as:

• Autonomous systems

• Cybersecurity

• Machine learning

• Robotics

• Satellite systems

• Cloud computing

• Vehicular networks

The center works closely with European institutions, private companies, and government organizations.

Required Profile

Applicants should meet the following criteria:

Education

• MSc degree (or equivalent) in:

  • Computer Science

  • Electrical Engineering

  • Robotics

  • Artificial Intelligence

  • Related engineering fields

Technical Skills (preferred)

• Automated driving systems

• Machine learning

• Computer vision

• Vision-language models

• Robotics

• Control systems

• Communication systems

Language

• English proficiency at B2 level or higher

Key Responsibilities

The PhD researcher will:

• Conduct research in AI-driven autonomous driving systems

• Publish findings in scientific journals and conferences

• Collaborate with international academic and industry partners

• Develop and share open-source software tools

• Contribute to project integration and reporting

Salary and Benefits

This is a fully funded PhD position offering:

• Annual salary of €41,976 (gross)

• Full-time employment contract (3 years)

• Access to advanced research infrastructure

• International collaboration opportunities

• Participation in EU-funded research projects

• Supportive academic and multicultural environment

Required Application Documents

Applicants must submit:

• Curriculum Vitae (CV), including:

  • Education details (degree, institution, dates)

  • Thesis summary

  • Publications (if any)

• Cover letter explaining motivation and research fit

• Academic transcripts

• Contact details of at least two referees

• GitHub or portfolio link (if available)

How to Apply

To apply for this PhD position:

1. Submit your application through the official online HR system

2. Include all required documents in a single application

3. Applications sent via email are not accepted

4. Early applications are strongly encouraged as selection is continuous

Contract Details

• Position Title: Doctoral Researcher

• Contract Type: Fixed-term (36 months)

• Working Hours: Full-time (40 hours/week)

• Campus: Kirchberg, Luxembourg

About SnT (University of Luxembourg)

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) is a leading European research center focused on:

• Secure and intelligent ICT systems

• AI and machine learning

• Autonomous systems and robotics

• Industry-driven innovation projects

SnT collaborates with top global institutions and industry partners, making it one of Europe’s most competitive research environments.

Why Apply for This PhD?

This position is ideal for candidates who want to:

• Work on cutting-edge AI and autonomous driving research

• Join a top European research center

• Collaborate with industry and academia

• Contribute to real-world AI systems in transportation

• Build a strong research career in Europe

Position Overview

Linköping University is offering a PhD position in Environmental Technology and Management at the Department of Business Administration in Sweden. The position is part of the Division of Environmental Technology and Management (MILJÖ), focusing on sustainable production systems and circular economy transitions in manufacturing industries. The start date is September 2026, with applications open until 31 May 2026.

Research Focus

The PhD project investigates how manufacturing industries transition from linear production models to circular and sustainable systems, with a specific focus on remanufacturing and closed-loop production systems (CLPS).

Key research themes include:

• Development and scaling of remanufacturing in industry

• Circular economy strategies in manufacturing systems

• Economic sustainability of product lifecycle extension

• Integration of remanufacturing into production and supply chains

• Innovation in technologies supporting circular manufacturing

The research is conducted within two ongoing projects:

• ROAR project (resource-efficient and resilient recirculation of products and components)

• Innovate Remanufacturing project (technology-driven innovation in remanufacturing processes)

Responsibilities

The PhD candidate will:

• Participate in theoretical and empirical research projects

• Collect, structure, and analyze qualitative and quantitative data

• Conduct interviews and develop case studies with Swedish manufacturing companies

• Design research methods, frameworks, and analytical models

• Contribute to academic publications and presentations

• Support ongoing research collaborations with industry and academic partners

• Communicate findings in both written and oral form

• Assist with teaching or departmental duties (up to 20% of workload)

Candidate Requirements

Applicants must have a Master’s degree (or equivalent, including near completion) in one of the following areas:

• Sustainability Engineering and Management

• Industrial Engineering and Management

• Mechanical Engineering

• Or closely related technical or management disciplines

Essential requirements include:

• Strong understanding of scientific research methods

• Ability to collect, structure, and analyze research data systematically

• Experience with interviews, qualitative analysis, or case study research

• Good written and spoken English skills

Preferred Qualifications

The following are considered advantageous:

• Knowledge of manufacturing systems and production economics

• Understanding of circular economy and sustainability strategies

• Documented interest in sustainable or circular manufacturing systems

• Basic knowledge of Swedish (merit, not required)

Work Environment

The position is hosted at the Division of Environmental Technology and Management (MILJÖ), an interdisciplinary research group with around 40 researchers from diverse academic and cultural backgrounds.

The division focuses on:

• Environmental innovation

• Sustainable product and system development

• Industrial transformation toward resource efficiency

• Collaboration with industry and society

The PhD candidate will work within the Products, Services, Innovation (PSI) unit, engaging in applied and theoretical sustainability research.

PhD Structure

The position is a doctoral research role with:

• Initial employment of 1 year, extendable based on progress

• Total duration of up to 2 years full-time equivalent (with possible extensions depending on teaching or duties)

• Formal admission to Linköping University’s PhD programme required after hiring

The role begins in September 2026.

Salary and Benefits

• Competitive PhD salary with structured progression

• Employment within a leading Swedish research university

• Access to interdisciplinary and international research networks

• Opportunity to collaborate with industry partners

• Support for academic development and research dissemination

• Inclusive and diverse working environment

Application Requirements

Applicants must submit:

• CV

• Cover letter explaining motivation and research interests

• Academic transcripts and Master’s degree documentation

• Description of relevant scientific experience and methods

• Any publications or research outputs (if available)

• Contact details of referees

Applications must be submitted via Linköping University’s official system before 1 June 2026. Late applications will not be considered.

Additional Information

The university emphasizes equal opportunity, diversity, and inclusion in recruitment. Applicants from all backgrounds are encouraged to apply.

For further information, candidates may contact Professor Erik Sundin or the departmental staff listed in the announcement.

Position Overview

The Norwegian University of Science and Technology (NTNU) is offering a 3-year PhD position in Cancer Neuroscience at the Department of Clinical and Molecular Medicine in Trondheim, Norway. The position is part of the research group led by Dr. Nathalie Jurisch-Yaksi and focuses on understanding brain–tumor interactions in glioblastoma.

Research Focus

This PhD project investigates how glioblastoma cells interact with and exploit the brain environment to grow, survive, and invade. The research combines cancer biology and neuroscience using advanced experimental models.

A key component of the project involves:

• Zebrafish xenograft models using patient-derived glioma cells

• Study of tumor–brain interactions in vivo

• Analysis of cancer progression in neural environments

The project integrates molecular biology, neuroscience, and computational analysis to understand tumor behavior in the brain.

Key Research Methods

The candidate will work with a wide range of experimental and computational techniques, including:

• Molecular and cellular biology

• Cell culture and primary cell systems

• Immunohistochemistry and histology

• Advanced imaging and microscopy

• Zebrafish experimental models and behavioral assays

• Genetics and brain activity analysis

• Programming and data analysis (Python, MATLAB, or similar tools)

Responsibilities

The PhD candidate will:

• Complete doctoral training leading to a PhD degree

• Conduct high-quality, reproducible research

• Contribute to scientific publications and outreach activities

• Participate in international collaborations, workshops, and conferences

• Supervise and mentor students at bachelor’s, master’s, and PhD levels

• Contribute to teaching and academic development within the research group

• Adapt to evolving research needs during the project

Candidate Requirements

Applicants must have a strong academic background in neuroscience and a completed Master’s degree in Neuroscience (or equivalent).

Essential requirements include:

• Strong academic performance (minimum grade B or equivalent)

• Eligibility for admission to the NTNU PhD programme in Medicine and Health Sciences

• Excellent written and spoken English skills

• Certification for animal experimentation (FELASA or Norwegian equivalent)

• Proven experience with zebrafish research

• Experience with cell culture, including primary cells

• Laboratory skills in immunohistochemistry and imaging

• Programming skills in Python, MATLAB, or equivalent

Preferred Qualifications

Additional experience considered advantageous includes:

• Molecular and cellular neuroscience techniques

• Imaging and immunostaining expertise

• Image analysis tools such as Python or Imaris

• Experience measuring animal behavior or brain activity

• Prior neuroscience research experience

Personal Competencies

The ideal candidate should be able to:

• Work independently and collaboratively in interdisciplinary teams

• Plan, structure, and execute research effectively

• Demonstrate curiosity and strong motivation for neuroscience research

• Analyze complex data and draw evidence-based conclusions

• Adapt flexibly to evolving project directions

PhD Programme Structure

The position is part of NTNU’s structured PhD programme in Medicine and Health Sciences. Candidates must gain formal admission within three months of starting.

The employment duration is 3 years and requires full-time presence at NTNU in Trondheim.

Salary and Benefits

• Annual salary: NOK 550,800 (approximate, depending on experience)

• Membership in the Norwegian Public Service Pension Fund

• Career development and academic mentoring

• Participation in an international research environment

• Free Norwegian language training (A2 level)

• Access to employee welfare and institutional benefits

• Structured guidance throughout the PhD period

Application Requirements

Applicants must submit:

• Motivation letter

• CV

• Bachelor’s and Master’s transcripts and diplomas

• Copy of Master’s thesis

• One-page research plan focusing on zebrafish xenograft studies

• Publications or relevant academic work (if available)

• Certificates (if applicable)

• Contact details for three referees

• Documentation for international education (if applicable)

Applications must be submitted through NTNU’s official Jobbnorge portal.

Deadline

15 May 2026

Additional Information

For academic inquiries, contact Dr. Nathalie Jurisch-Yaksi. For recruitment questions, contact NTNU HR staff.

NTNU promotes diversity, inclusion, and equal opportunity in recruitment and encourages applications from candidates of all backgrounds.

Position Overview

The Technical University of Munich (TUM) is offering a fully funded PhD position in Computer Science at the Institute for AI and Informatics in Medicine (AIIM). The position is part of the xMDT-HPB project, focusing on artificial intelligence for precision oncology, medical informatics, and explainable multimodal AI systems. The role is based in Munich, Germany and is supervised by Dr. Felix Busch.

Research Project: xMDT-HPB

The xMDT-HPB project develops an explainable and interoperable AI system to improve diagnosis and treatment decisions for patients with hepato-pancreato-biliary cancers. The project integrates multiple clinical data sources, including:

• Medical text and clinical narratives

• Radiological imaging data

• Laboratory and patient trajectory data

The goal is to build trustworthy AI systems that support clinicians in personalized prognosis and treatment planning. All outputs are designed as open-source software and reusable research tools.

Key Responsibilities

The selected PhD candidate will:

• Conduct doctoral research within the xMDT-HPB project under structured supervision

• Work with clinical data and medical informatics standards such as MII and FHIR

• Develop and implement prototypes for explainable, multimodal AI systems

• Design and evaluate machine learning models for text, imaging, and structured clinical data

• Build reproducible ML pipelines and benchmarking frameworks

• Collaborate with clinicians, data scientists, and software engineers

• Contribute to scientific publications, conferences, and project reports

• Support open-source development and technical documentation

Candidate Requirements

Applicants should have a Master’s degree (or near completion) in one of the following fields:
Computer Science, Medical Informatics, Data Science, Bioinformatics, or a related discipline.

Required qualifications include:

• Strong programming skills in Python

• Basic experience with ML frameworks such as PyTorch or TensorFlow

• Prior experience in machine learning, NLP/LLMs, data analysis, or software development

• Interest in medical AI, clinical data, and interdisciplinary research

• Willingness to work with medical standards and data protection regulations

• Strong teamwork and communication skills

• Good written and spoken English

• German language skills at C1 level (required for clinical collaboration)

Applicants should also provide evidence of past projects, GitHub/GitLab links (if available), and academic outputs such as theses or publications.

PhD Structure and Work Environment

The position is a structured doctoral role at TUM with close academic supervision. The candidate will work in an interdisciplinary environment combining:

• Artificial intelligence research

• Medical informatics

• Clinical oncology applications

The research emphasizes reproducibility, open science, and collaboration with healthcare professionals.

Salary and Benefits

• Full-time PhD position funded under TV-L E13 pay scale

• Occupational pension scheme (VBL)

• Structured academic supervision and mentoring

• Support for conference participation and scientific publishing

• Access to qualification programs and career development

• Open-source research contributions

• Employee benefits including Wellpass and university services

• Workplace located in central Munich (Max-Weber-Platz)

Application Requirements

Applicants must submit a single PDF including:

• Motivation letter

• CV

• Academic transcripts and certificates (Bachelor’s and Master’s)

• Overview of programming or ML projects (GitHub/GitLab optional)

• List of publications or academic work (if available)

• Contact details of two academic referees

Applications should be sent directly to Dr. Felix Busch. Applications are reviewed on a rolling basis until the position is filled.

Additional Information

This position is suitable for candidates with disabilities, who will be given preference in case of equal qualification. The university emphasizes equal opportunity and inclusive hiring practices.

For further details, candidates may contact Dr. Felix Busch at the Institute for AI and Informatics in Medicine, TUM School of Medicine and Health, Munich.

Position Overview

The University of Bergen is offering a 3-year PhD position in Political Science within the Department of Government and the Centre for Research on Discretion and Paternalism. The role is part of the PROTECT research project on child rights and crime prevention. The position starts on 1 January 2027 and is based in Bergen, Norway.

Research Project: PROTECT

PROTECT (Protecting Child Rights and Public Safety) is a five-year interdisciplinary research project funded by the Research Council of Norway. It examines how welfare states can respond to children involved in serious violent crime while balancing:

• Protection of child rights

• Public safety and crime prevention

• Social inclusion and prevention of exclusion

The project focuses on child protection systems and criminal justice systems, using comparative and interdisciplinary approaches. The PhD candidate will primarily contribute to work packages 3 and 4.

Centre for Research on Discretion and Paternalism

The PhD is hosted at a leading research centre focused on how governments exercise power and justify interventions in citizens’ lives. The centre conducts comparative research on welfare states, child protection, and governance, and collaborates internationally with law, sociology, political science, and psychology scholars.

PhD Responsibilities

The selected candidate will:

• Conduct independent academic research leading to peer-reviewed publications

• Collect and analyze quantitative and comparative data

• Collaborate with project leaders and international partners

• Contribute to research activities at the centre

• Participate actively in the PROTECT project environment

Candidate Requirements

Applicants must have:

• A Master’s degree in Political Science or Sociology (grade B or higher required)

• Strong expertise in quantitative research methods

• Interest in child rights, welfare systems, or crime prevention

• Ability to work independently and collaboratively

• Excellent English skills (written and spoken)

• Knowledge of a Scandinavian language (advantage)

• Relevant research experience (advantage)

Selection will be based on academic performance, methodological strength, and the quality and fit of the research proposal.

PhD Programme Structure

The position is part of the PhD programme at the Faculty of Social Sciences, University of Bergen. It is a 3-year research training position leading to a PhD degree.

Applicants must submit a research proposal that includes:

• Research topic and questions

• Theoretical framework

• Methodological approach

• Work plan and timeline

• Alignment with PROTECT work packages 3 and 4

Admission depends on approval of the proposal.

Salary and Benefits

• Annual salary: NOK 568,700

• Automatic annual salary increases (3% per year)

• Membership in the Norwegian Public Service Pension Fund

• Strong international research environment

• Collaboration with leading academic networks

• Good welfare benefits

Application Requirements

Applicants must submit:

• Cover letter with motivation and research interests

• Research proposal (max 3 pages, excluding references)

• CV including education and research experience

• Academic transcripts and diplomas

• Master’s thesis or relevant academic work

• Contact details for two referees

Applications must be submitted via Jobbnorge. Applications without a research proposal will not be considered.

Deadline

30 June 2026

Additional Information

For academic questions, contact the principal investigator. For administrative guidance or PhD programme queries, contact the University of Bergen’s designated staff.

The University of Bergen encourages applications from diverse backgrounds and promotes equal opportunity in recruitment.