Siemens Gamesa

Are you excited about applying AI to solve real-world engineering problems in renewable energy? Siemens Gamesa, in collaboration with DTU and international partners in the NU-ACTIS project, is offering an industrial PhD position focused on developing trustworthy AI methods for system identification in inverter-dominated power grids. This position combines academic research with hands-on industrial experience and contributes to the safe and efficient integration of renewable energy.

Your primary tasks will be to: 

• Develop AI-based methods inverter-based power systems

• Ensure interpretability and trustworthiness of identified models

• Validate models using industrial data and simulation environments

• Collaborate with control teams to integrate models into control design workflows

• Contribute to publications, workshops, and project deliverables

• Engage with academic and industrial partners across NU-ACTIS 

We are looking for applicants motivated to bridge research and industry in renewable energy. You should bring experience in at least three of the following:

• Power system dynamics and stability

• System identification and dynamic modelling of systems of ODEs (Ordinary differential equations)

• Machine learning or data-driven modelling

• Power system modelling and simulation

• Programming ( Python, MATLAB)

• Dynamics of renewable power systems and inverter-based technologies

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.

Employment

Your employment will be with Siemens Gamesa RE under the Ph.d. program at DTU. In Siemens Gamesa RE you will part of the Grid connection department within the Technology area. Which means you will have the possibility to interact and integrate with a large network of specialist within grid connection, power converters and wind turbines. You will be located at the Siemens Gamesa office at DTU which is conveniently located next to the DTU Wind and Energy Systems department.

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. 

Salary and appointment terms 

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

Starting date is 01.12.2025 (or according to mutual agreement). The position is a full-time position.

Further information

Further information may be obtained from Kim Høj Jensen, Chef Engineer, SGRE, Kim.H.Jensen@siemens-energy.com, regarding Siemens Gamesa and Johanna Vorwerk, Assistant Professor at DTU Wind and Energy Systems, vorjo@dtu.dk regarding DTU Ph.d. program.

You can read more about “the Wind and Energy Systems Department” at www.wind.dtu.dkand Siemens Gamesa RE at Workingwith us.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. 

Application procedure 

Your complete online application must be submitted no later than Aug 17th (23:59 Danish time). 

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application (cover letter)

• Curriculum vitae 

• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale

• A Research Statement (max. 700 words) where you outline a potential research direction that interests you. The research statement shall address the following three questions: (1) What – what is the topic you propose to research? (2) Why – why is it necessary to develop a solution (or a new solution, if one already exists) for this topic? (3) How – how do you plan to develop a solution for this topic (general research directions, not necessary to go into too much detail). The research topic you discuss is entirely up to you; it may or may not be related to the research topic of the position advertised.

• Contact details of two individuals who can provide a reference upon request.

Equal Opportunity & Background Check

You may apply prior to obtaining your master's degree but cannot begin before having received it. 

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As SGRE and 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.