PhD scholarship in AI-augmented Systems Engineering - DTU Construct

Danmarks Tekniske Universitet

Ørsted

On-site

DKK 357,000 - 469,000

Full time

3 days ago
Be an early applicant
Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

International environment
Academic freedom
DTU salary structure

Job summary

DTU in Denmark seeks a PhD candidate to advance AI-assisted Systems Engineering. You will design and validate an AI assistant that reasons over SysML 2.0 models, turning rigorous engineering practices into affordable processes for teams.

Work with industry partners, publish research, and supervise student projects. The appointment is for 3 years, full-time, with enrolment in a DTU degree program. Location: Kgs. Lyngby, Denmark.

Qualifications

  • Two-year master's degree or equivalent at academic level.
  • Experience in systems engineering and AI-based solutions is desirable.
  • Ability to formalise knowledge into machine-readable models.

Responsibilities

  • Design and validate an AI assistant that creates and reasons over SysML 2.0 system models.
  • Formalise engineering knowledge (requirements, architecture, verification) into machine-readable models.
  • Evaluate methods on real engineering cases with industry partners.
  • Work with the lab's local AI compute and validated model stack.
  • Publish in leading journals and conferences in engineering design and Systems Engineering.
  • Assist in teaching and supervise BSc and MSc student projects.
  • Contribute to building up the new Lab.

Skills

SysML 2.0
MBSE
AI methods
Requirements management

Education

Two-year master's degree (120 ECTS) or equivalent

Tools

SysML tools

Job description

If you are looking to advance both theory and practice of advanced systems engineering with the help of AI, then come and join our growing group.

Join us in building a new research lab that develops and safety-tests AI tools for engineering work, running on local compute infrastructure that we build and control ourselves. You will be part of the team shaping the lab's research agenda, its infrastructure and its industry network. You will work with us at the frontier of AI-augmented Systems Engineering, in close cooperation with our national and international industry, government and academic partners. Our goal: making the rigor of professional Systems Engineering affordable and available to all engineering teams.

We are looking for individuals that are not only excited about developing and applying advanced systems engineering methods, but also about developing new AI tools that make it easier for engineers and engineering organizations to adopt them. We know that engineering organizations today spend about one fifth of the time and effort on systems engineering that is necessary to enable the productive execution of highly complex engineering projects. The aim of this project is to bridge that gap with the help of AI. You will have access to state-of-the-art knowledge and resources to both frontier models as well as local AI compute in our group.

Responsibilities and qualifications

We expect you to bring some prior experience in systems engineering and/or developing practical AI-based solutions with you. We do not expect you to be perfect in either, but we do expect a passion for both.

The project will be conducted in close collaboration with our research and industry partners.

Your overall focus will be to design and validate an AI assistant that creates and reasons over a machine-readable SysML 2.0 system model, turning rigorous Systems Engineering (e.g. requirements, traceability, qualification analysis) into a fast and affordable process for small engineering teams. You will demonstrate and evaluate your methods on real engineering cases from our industry network. We will discuss your primary responsibilities during the hiring process. Your tasks may for example include:

  • Develop AI methods (models and harnesses) that create reason over SysML 2.0 system models / MBSE
  • Formalise engineering knowledge (requirements, architecture, verification) into machine-readable models
  • Evaluate your methods on real engineering cases with our industry partners
  • Work with the lab's local AI compute and validated model stack
  • Publish in leading journals and conferences in engineering design and Systems Engineering
  • Assist in teaching and supervise BSc and MSc student projects
  • Contribute to building up the new Lab

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

Approval and Enrolment

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education.

We offer

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. Please see DTU’s salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures.

The period of employment is 3 years. The position is a full-time position. Starting date is 1 November 2026 or by mutual agreement.

Further information

Further information may be obtained from Josef Oehmen / jooehm@dtu.dk (please mention “PhD Position Inquiry” in your email subject)

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

You can read more about career paths at DTU here.

You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk.

Location

Kgs. Lyngby, Denmark

Apply Before

2026-10-08T21:59:00+00:00

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

PhD scholarship in AI-augmented Systems Engineering - DTU Construct
PhD scholarship in AI-augmented Systems Engineering - DTU Construct

DTU Construct • Kongens Lyngby

On-site
DKK 402,000 - 469,000
Postdocs in AI-augmented Systems Engineering - DTU Construct
Postdocs in AI-augmented Systems Engineering - DTU Construct

Danmarks Tekniske Universitet • Ørsted

On-site
DKK 700,000 - 900,000
PhD scholarship in AI-Enabled Requirements Management for Human-Centered Systems Engineering - DTU Construct
PhD scholarship in AI-Enabled Requirements Management for Human-Centered Systems Engineering - DTU Construct

Danmarks Tekniske Universitet • Ørsted

On-site
DKK 314,000 - 404,000
Postdocs in AI-augmented Systems Engineering - DTU Construct
Postdocs in AI-augmented Systems Engineering - DTU Construct

DTU — Technical University of Denmark • Kongens Lyngby

On-site
DKK 700,000 - 900,000
PhD scholarship in AI-Enabled Requirements Management for Human-Centered Systems Engineering - [...]
PhD scholarship in AI-Enabled Requirements Management for Human-Centered Systems Engineering - [...]

DTU - Technical University of Denmark • Kongens Lyngby

On-site
DKK 430,000 - 520,000
PhD in AI-Driven Systems Engineering
PhD in AI-Driven Systems Engineering

DTU Construct • Kongens Lyngby

On-site
DKK 402,000 - 469,000
PhD Scholarship: AI-Driven Systems Engineering
PhD Scholarship: AI-Driven Systems Engineering

Danmarks Tekniske Universitet • Ørsted

On-site
DKK 357,000 - 469,000
International environment
Academic freedom
DTU salary structure
Postdoc: AI-Driven Systems Engineering Lab
Postdoc: AI-Driven Systems Engineering Lab

DTU — Technical University of Denmark • Kongens Lyngby

On-site
DKK 700,000 - 900,000
PhD scholarship in Interface Management for Complex, Multi-Company Engineering Projects - DTU Construct
PhD scholarship in Interface Management for Complex, Multi-Company Engineering Projects - DTU Construct

Danmarks Tekniske Universitet • Ørsted

On-site
DKK 360,000 - 480,000
PhD Scholarship: AI-Driven Requirements for Human-Centered Systems
PhD Scholarship: AI-Driven Requirements for Human-Centered Systems

DTU - Technical University of Denmark • Kongens Lyngby

On-site
DKK 430,000 - 520,000