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PhD Scholarship: Adaptive Optimization and Control of Offshore Energy Systems at TU Delft, Netherlands

Postdoc in Netherlands

Summary

The Delft University of Technology (TU Delft) is offering a PhD position focused on the adaptive optimization and control of offshore energy systems. This project aims to develop innovative methods for integrating renewables into existing offshore oil and gas facilities during their phase-out, thereby reducing environmental impact. The research will merge online data-driven modeling with optimization-based methods to facilitate the transition to energy neutrality, addressing the complex challenges of implementing advanced control systems in real-world infrastructure.

PhD Scholarship: Adaptive Optimization and Control of Offshore Energy Systems at TU Delft

Designation

PhD Candidate

Scholarship Details at a Glance

CategoryDetails
Host InstitutionDelft University of Technology (TU Delft)
Faculty/DepartmentFaculty of Mechanical Engineering, Delft Center for Systems and Control (DCSC)
Research GroupDr. Marta Zagorowska’s Group
Duration4 years (initial 1.5-year contract, followed by 2.5 years upon successful assessment)
Salary Range€3204 – €4051 gross per month (increasing annually), plus 8% holiday allowance and 8.3% end-of-year bonus
Working Hours38-40 hours per week (1.0 FTE)
Teaching ObligationUp to 20% of total appointment, averaged over the PhD trajectory

Research Area

The core research focuses on adaptive optimization and control of offshore energy systems. This involves:

  • Integrating renewables into existing offshore oil and gas facilities.
  • Developing new adaptation methods for facility operation.
  • Merging online data-driven modeling to capture equipment degradation.
  • Utilizing optimization-based methods to achieve energy neutrality.
  • Addressing the practical implementation challenges of optimization-based control in complex industrial settings.

Location

Delft, Netherlands

Eligibility/Qualification

Candidates should possess the following qualifications and attributes:

  • MSc degree in Systems and Control, Chemical Engineering, or a similar relevant field (essential).
  • Prior experience with optimization algorithms (essential).
  • Prior experience with process modeling and control (desirable).
  • Prior experience with offshore energy (desirable).
  • Strong collaboration, communication, and writing skills.
  • Ambitious, proactive, reflective, and results-driven research mindset.
  • English proficiency at a level suitable for doctoral studies, including participation in courses and writing scientific articles.

Scholarship Description

This PhD scholarship provides a unique opportunity to contribute to sustainable energy solutions within the context of offshore facilities. The successful candidate will join the esteemed Delft Center for Systems and Control (DCSC) under the supervision of Dr. Marta Zagorowska. The project aims to bridge the gap between advanced data-based control algorithms and their practical implementation in energy-intensive offshore industries, considering the existing infrastructure and the goal of energy neutrality. Beyond research, the PhD trajectory includes teaching activities (up to 20%), offering valuable experience for future academic or professional careers. TU Delft provides a supportive environment with an excellent supervisory team, a comprehensive Doctoral Education Programme, and a customizable compensation package, including relocation support for international candidates.

How to Apply

Interested candidates must apply online through the official application portal. Applications sent via email or post will not be processed. Please prepare the following documents for submission:

  1. Curriculum Vitae (CV)
  2. Cover letter (addressed to Dr. Marta Zagorowska)
  3. Copies of your university degrees
  4. Transcripts for your BSc and MSc programs

Please note that TU Delft conducts a risk assessment as part of the recruitment process to ensure knowledge security. This assessment is based on provided candidate information and occurs in the final stages of selection.

Last Date for Apply

22 October 2026

Apply Link

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