PhD Candidate in Information Structures for Integrated and AI-Supported Maritime Design at Norwegian University of Science and Technology
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PhD in Maritime AI and Structured Vessel Design Information
NTNU invites applications for a PhD position in AI-supported maritime design, focusing on structured information models for integrated ship design and computational reasoning. The project addresses a core challenge in the maritime sector: technical knowledge is fragmented across documents and systems, making it difficult to track dependencies and assess the impact of design changes. This PhD will develop structured, machine-interpretable representations of vessel designs that support AI-based reasoning, explainability, and decision support.Research Focus: AI-Enabled Maritime Design Frameworks
The PhD project aims to create a semantic foundation for AI in ship design, enabling coherent reasoning across systems and lifecycle phases. Key research themes include:1. Representation of Vessel Design Knowledge
- Modeling components, subsystems, constraints, and cross-system dependencies
- Designing structures that support both human interpretation and AI reasoning
- Exploring ontologies, knowledge graphs, and hybrid information models
2. Integration with Engineering Workflows
- Ensuring compatibility with existing maritime design tools and processes
- Introducing structured information models without disrupting established practices
3. Technology Assessment
- Evaluating ontologies and knowledge graphs for maritime applications
- Developing prototype demonstrators for real-world ship design tasks
- Validating improvements in dependency visibility and change-impact assessment
About the Project: Norwegian Maritime AI Center
This PhD is part of the Norwegian Maritime AI Center, a national initiative funded for 2026–2030 to accelerate AI adoption in maritime value chains. The center focuses on use cases such as:- Ship design and construction
- Voyage planning and optimization
- Condition monitoring and maintenance
- Maritime traffic and surveillance
- Decarbonization and energy management
- Autonomous and remotely controlled vessels
Candidate Requirements
Mandatory Qualifications
- Master’s degree in Engineering, Computer Science, or related field
- Strong academic record (equivalent to grade B or higher on NTNU scale)
- Affinity with programming, AI tools, and computational model development
- Eligibility for admission to NTNU’s PhD Programme in Engineering
Preferred Qualifications
- Experience in maritime research or industry
- Experience in AI research, ontologies, or knowledge representation
- Strong written and oral English skills
Personal Qualities
Successful candidates should demonstrate the ability to:- Work independently on long-term research
- Collaborate closely with maritime industry partners
- Communicate research effectively in academic and industrial contexts
- Navigate research uncertainty with flexibility and initiative
- Publish in peer-reviewed journals and present at international conferences
What NTNU Offers
- A strong technical-scientific research environment
- Collaboration with academic and industrial partners
- Membership in the Norwegian Public Service Pension Fund
- Free Norwegian language training (A2 level)
- Inclusive and diverse workplace culture
- Access to doctoral training and career development opportunities
Employment Conditions
- 3-year doctoral employment
- Admission to NTNU’s PhD Programme required within 3 months of start
- Physical presence at the institution expected
- Employment subject to Norwegian State Employees Act and export control regulations
Application Requirements
Submit your application electronically via the official recruitment portal before April 25, 2026. Required documents:- CV
- Transcripts and diplomas (Bachelor’s and Master’s)
- Master’s thesis (or draft if recently submitted)
- Project outline (max. 1500 words) including research questions, theoretical framework, methodology, and timeline
- Publications or other relevant research work (if applicable)
- Names and contact details of three referees
Contact Information
Academic inquiries: Professor Henrique M. Gaspar henrique.gaspar@ntnu.no Recruitment process inquiries: HR Lara Bromann lara.bromann@ntnu.no This PhD position offers a unique opportunity to contribute to the digital transformation of maritime engineering, advancing AI-supported ship design through structured information models and computational reasoning. Apply now at: https://www.jobbnorge.no/en/available-jobs/job/296413/phd-candidate-in-information-structures-for-integrated-and-aisupported-maritime-designUniversity of Luxembourg PhD Position in AI Fully Funded
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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:
Submit your application through the official online HR system
Include all required documents in a single application
Applications sent via email are not accepted
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
University of Luxembourg PhD in Finance 2026 Fully Funded
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The University of Luxembourg is inviting applications for fully funded PhD positions in Finance at the Faculty of Law, Economics and Finance (FDEF). These doctoral roles are designed for highly motivated candidates with strong quantitative backgrounds who want to pursue advanced research in economics, finance, and econometrics in Europe.
The program follows an international PhD structure, including rigorous coursework in the first year and several years of dedicated research leading to a doctoral thesis.
Overview of University of Luxembourg PhD Program
Level of Study: PhD (Doctoral Researcher)
Institution: University of Luxembourg
Faculty: Faculty of Law, Economics and Finance (FDEF)
Study Location: Luxembourg City, Luxembourg
Campus: Belval Campus
Duration: 3 years (fixed-term contract)
Annual Salary: €41,976 (gross, full-time)
Language: English (minimum B2 level required)
Program Structure
The PhD in Finance at the University of Luxembourg is structured in two phases:
Year 1: Coursework equivalent to the Master in Quantitative Economics and Finance (MQEF)
Years 2–5: Independent research leading to a doctoral dissertation
Courses are taught in English by faculty members and visiting scholars from top global universities such as Princeton and the University of Chicago.
Research Environment
The Department of Finance is located in Luxembourg’s financial center and is recognized for its strong academic and industry links. It includes more than 15 research-oriented faculty members with backgrounds from institutions such as:
New York University
University of Lausanne
University of Rochester
Carnegie Mellon University
The department is also closely connected with major financial and policy institutions, including:
Luxembourg Financial Centre
European Stability Mechanism
Central Bank of Luxembourg
This creates a highly international and research-driven academic environment.
Research Areas
Applicants will work in areas such as:
Finance
Economics
Statistics and Econometrics
Quantitative Finance
Computational Economics
Eligibility Criteria
Applicants should meet the following requirements:
Strong interest in Finance, Economics, or Econometrics
Background in a quantitative field such as:
Mathematics
Physics
Computer Science
Engineering
Strong analytical and computational skills
Minimum B2 level English proficiency
Relevant academic degree (Master’s or equivalent for PhD entry)
Scholarship and Funding
The PhD position includes full financial support:
Competitive annual salary (€41,976 gross)
Full-time employment contract (36 months)
Financial support during the MQEF first-year coursework
Access to university research facilities and international academic network
Required Application Documents
Applicants must submit:
Curriculum Vitae (CV)
Motivation letter
Academic transcripts (all university-level results)
Degree certificates
Proof of English proficiency (if required)
Reference letters may also be requested depending on the selection stage.
How to Apply
To apply for the University of Luxembourg PhD in Finance:
Submit your application through the official online HR system
Include all required documents in your application
Also apply through the MQEF program portal (mandatory)
Applications sent by email are not accepted
Applications are reviewed on a rolling basis, so early submission is strongly recommended.
Contract Details
Position Title: Doctoral Researcher
Contract Type: Fixed-term (36 months)
Working Hours: Full-time (40 hours/week)
Location: Belval Campus, Luxembourg
Why Choose the University of Luxembourg?
The University of Luxembourg offers:
A multilingual and international academic environment
Strong ties with European institutions and the financial sector
Collaboration with global universities and research centers
High-quality infrastructure and research facilities
A diverse academic community from over 90 countries
PhD Studentship at Nottingham Trent University 2026 in AI
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Overview of the Opportunity
Nottingham Trent University is offering a fully funded PhD studentship focused on an AI-aided, data-driven approach to studying historical parchments. The project investigates the making, degradation, and origin of ancient parchment materials using advanced computational and scientific methods.
About Nottingham Trent University
Nottingham Trent University is a well-established public research university in the United Kingdom known for its strong focus on applied research, innovation, and interdisciplinary studies. It actively promotes inclusive research environments and collaboration across international institutions.
Research Focus
This PhD project combines artificial intelligence, data science, and heritage science to explore:
Manufacturing processes of historical parchments
Degradation mechanisms over time
Origins and material composition of manuscripts
Applications of AI in conservation science
Archaeological and cultural heritage analysis
The research contributes to both digital innovation and historical preservation.
Supervisory Team
Supervisor: Jens Binder
Institution: Nottingham Trent University
Funding and Financial Support
This PhD studentship is jointly funded by:
Nottingham Trent University (UK)
University of Namur (Belgium)
Funding includes:
Full tuition fee coverage
Annual stipend for living expenses
Eligibility Criteria
Applicants must meet the following requirements:
Background in physical sciences, bioinformatics, or related fields
Interest in heritage science, conservation science, or archaeological science
Strong motivation for interdisciplinary research
Ability to work in a data-driven and computational research environment
Application Deadline
Deadline: June 15, 2026
How to Apply
Step 1: Review Requirements
Check eligibility and application guidance on the university’s official PhD application page.
Step 2: Prepare Application Documents
Applicants typically need:
Academic CV
Motivation letter
Academic transcripts
Relevant research experience details
Step 3: Submit Application
Applications must be submitted through the official Nottingham Trent University application system.
Step 4: Selection Process
Shortlisted candidates may be contacted for interviews and further assessment.
Important Notes
The program encourages applications from underrepresented groups
Strong interdisciplinary and analytical skills are highly valued
The project involves collaboration between UK and Belgian institutions
Conclusion
The AI-aided PhD studentship at Nottingham Trent University 2026 is a unique opportunity for students interested in combining artificial intelligence with heritage science. With full funding and international collaboration, it offers a strong platform for research in cultural preservation and data-driven scientific analysis.
For official application details, candidates should visit the Nottingham Trent University PhD admissions page.
PhD Positions at Technical University of Munich 2026 in Engineering
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Overview of the Opportunity
The Technical University of Munich (TUM) is offering two fully funded PhD positions in Electronic Structure Theory and Quantum Transport under the supervision of Prof. Dr. Frank Ortmann. These positions focus on advanced computational physics and materials science research, with the opportunity to earn a doctoral degree at one of Europe’s top-ranked universities.
About Technical University of Munich
The Technical University of Munich is one of Europe’s leading research universities, known for excellence in engineering, physics, and technology. It is closely connected with major research initiatives such as the Munich Center for Quantum Science and Technology and provides a highly international research environment.
Research Group and Supervision
These PhD positions are offered in the research group of Prof. Dr. Frank Ortmann at TUM. The group focuses on developing advanced theoretical and computational models to study electronic, optical, and transport properties of complex materials.
Research Topics
Project A: Electronic Structure and Optical Excitations
Development of linear-scaling Wannier optics methods
Simulation of optical excitations in large material systems
Study of excitonic effects and many-body interactions
Quantum dynamics in complex materials
Project B: Quantum Transport in Polymers
Modeling electron-phonon coupling
Development of efficient quantum transport frameworks
Application to polymer-based materials
Program Duration and Start Date
Duration: 3 years
Start Date: Summer 2026 (flexible)
Salary and Funding
Employment based on German public sector TV-L E13 scale
Fully funded research associate position
Access to TUM Graduate School and international research networks
Conference participation support
Eligibility Criteria
Applicants must meet the following requirements:
Master’s degree in Physics, Chemistry, or related field
Strong background in theoretical solid-state physics or theoretical chemistry
Interest in electronic structure theory and computational modeling
Programming or simulation experience is an advantage
Excellent English communication and writing skills
Required Documents
Applicants must submit:
Curriculum Vitae (CV)
Motivation letter
Academic transcripts
Degree certificates
Optional: up to two reference letters
Application Deadline
Deadline: April 21, 2026
How to Apply
Step 1: Prepare Application
Combine all required documents into a single PDF file.
Step 2: Send Application Email
Submit your application to the official email provided by the research group.
Step 3: Email Subject Line
Use the correct subject format:
Application PhD2026-2a (for Project A)
Application PhD2026-2b (for Project B)
Step 4: Recommendation Letters
Reference letters can be sent separately by referees directly to the same email address.
Step 5: Selection Process
Candidates are selected based on academic background, research potential, and motivation.
Key Notes
Candidates are encouraged to specify their preferred research project
Strong independent and collaborative research skills are required
International applicants are welcome
Women and candidates with disabilities are encouraged to apply
Conclusion
The PhD positions at the Technical University of Munich 2026 provide an excellent opportunity to pursue advanced research in quantum physics and computational materials science. With full funding, strong academic supervision, and access to world-class facilities, this program is ideal for students aiming to build a research career in theoretical physics.
For official details and application submission, applicants should contact the research group at TUM directly.