PhD Position Advanced Lattice Boltzmann Methods for Multiphysics Simulations of Nuclear Reactors

Job description 

We are seeking a highly motivated PhD candidate to advance the state-of-the-art in the Lattice Boltzmann Method (LBM) for challenging multiphysics applications in nuclear energy systems. The research will focus primarily on Molten Salt Reactors (MSRs), while the developed methodologies are expected to be broadly applicable to other advanced reactor concepts.

 

The Lattice Boltzmann Method has emerged as a powerful alternative to conventional Computational Fluid Dynamics (CFD) approaches due to its flexibility, excellent scalability, and suitability for massively parallel computing architectures. This project aims to extend and optimize LBM techniques to address the complex coupled phenomena occurring in advanced nuclear reactors.

 

Key research topics include: Thermal-hydraulic phenomena in nuclear reactor systems; Phase-change processes such as melting and solidification in molten salt environments; Gas injection and multiphase flow phenomena, including the introduction of inert gases into molten salts; Turbulent flow modelling; Coupled neutron transport and reactor physics; Precursor transport; Chemical interactions and species transport; Corrosion and material degradation processes.

 

In addition to developing new physical models, the project will investigate advanced numerical methodologies, including: Novel and improved boundary-condition treatments; Advanced collision schemes; Multigrid and accelerated solution techniques;

 

A major component of the project is the efficient implementation of these methods on modern GPU-based high-performance computing platforms. Owing to the inherently parallel nature of the Lattice Boltzmann Method, substantial computational performance gains can be achieved, enabling high-fidelity simulations of complex reactor systems.

 

As a PhD candidate, you will develop and investigate new Lattice Boltzmann methodologies and improve existing techniques for nuclear engineering applications; Develop numerical methods for coupled phenomena involving fluid flow, heat transfer, phase change, neutron transport, chemistry, and corrosion; Optimize algorithms for execution on modern GPU architectures and high-performance computing systems. 

 

Job requirements 

 We are looking for an excellent PhD student who

  • has an MSc in a relevant field, such as (applied) physics, chemical engineering or mechanical engineering
  • combines creativity with a sound academic attitude
  • can show to be excellent in transport phenomena and modelling in this field
  • feels strongly attracted to numerical modelling and programming and has shown to have excellent skills in both areas.
  • has excellent communication skills in English, both in writing and speaking

 

TU Delft (Delft University of Technology) 

Working at TU Delft means contributing to solutions that really make a difference. 

 

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. 

 

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward. 

 

 

Faculty Applied Sciences 

With more than 1,100 employees, including 150 pioneering principal investigators, as well as a population of about 3,600 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century. To that end, we educate innovative students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Engineering Physics. We are also training the next generation of high school teachers. 

 

Click here to go to the website of the Faculty of Applied Sciences. 


Conditions of employment 
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3059 - €3881 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%.  

As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. 

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.  


Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.  

 

Additional information
If you would like more information about this vacancy or the selection procedure, please contact Dr. Martin Rohde, associate professor, via m.rohde@tudelft.nl.

 

Application procedure
Are you interested in this vacancy? Please apply no later than 31 July 2026 via the application button and upload the following documents:

  • Motivation letter (PDF), highlighting past achievements that demonstrate your relevant competence and specific interest and enthusiasm for this project.
  • Your CV (PDF), including contact details of two references who we can contact if needed
  • A summary of your M.Sc. thesis.
  • A list of courses and grades taken for your B. Sc. and M. Sc. (or similar education).
  • Publications (including theses) that you have written in which you demonstrate your writing skills (PDFs).

 

Incomplete applications and applications not conforming to the specified format requirements will automatically be disqualified and will not be evaluated.

 

You can address your application to Dr. Martin Rohde, associate professor.

 

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements. 


Please note:

  • You can apply online. We will not process applications sent by email and/or post. 
  • As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
  • Applying for an exemption for specific research and educational areas is an obligatory part of the selection procedure for this vacancy. This exemption must be obtained from the Ministry of Education, Culture and Science (OCW) before an employment contract is agreed upon. Click here for more information.
  • Please do not contact us for unsolicited services
     
Faculty/Department:  Faculty of Applied Sciences
Salary range:  €3059 - €3881
Hours per week:  32-40
FTE:  1,0
Submission is possible until:  31 Jul 2026
ID job:  3649