Postdoc on project "Quantum Markov Semigroups: from Geometry to Classification"

Postdoc in operator algebras.

Job description

This vacancy is for a two-year postdoctoral position within the joint project "Quantum Markov Semigroups: From Geometry to Classification", coordinated by Martijn Caspers (TU Delft) and Melchior Wirth (Universität Leipzig). The position will be fully based at TU Delft and primarily supervised by Martijn Caspers. Regular short research visits to Leipzig are an integral part of the project.

We are seeking candidates with a PhD in Mathematics who can successfully conduct research in one or more of the following areas:

• Von Neumann algebras
• Analysis of quantum information
• Quantum Markov semigroups
• Connections between operator algebras and geometric aspects of discrete groups or noncommutative spaces

During the postdoctoral appointment, there will be opportunities to pursue both independent and collaborative research. You will join our active Analysis Group at TU Delft, with established connections to researchers in quantum information physics. 

Job requirements

We expect you to hold a PhD degree in Mathematics and have a proven track record in one of the directions: operator algebras with a focus on von Neumann algebras, operator spaces, quantum Markov semigroups, analytical aspects of quantum information theory.   

We furthermore expect you to be fluent in English both in speaking and writing and able to communicate in an academic environment. 

TU Delft (Delft University of Technology) 

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science 

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Conditions of employment 

• Duration of contract is 1 year with prospect for another year.
• A job of 36-40 hours per week. 
• Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
• An excellent pension scheme via the ABP. 
• The possibility to compile an individual employment package every year. 
• Discount with health insurers on supplemental packages. 
• Flexible working week. 
• Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget. 
• Plenty of opportunities for education, training and courses. 
• Partially paid parental leave 
• Attention for working healthy and energetically with the vitality program. 

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 Martijn Caspers, via m.p.t.caspers@tudelft.nl or 

Application procedure

Are you interested in this vacancy? Please apply no later than January 14, 2026 via the application button and upload the following documents:

• A short motivation letter.
• A detailed CV which includes at least a publication list (you may list preprints available on the arXiv, but do not need to attach them) and the date of your (tentative) PhD defense.
  A research statement (aim at 2-3 pages, but there is no strict page limit in case you wish to re-use a research statement).

You can address your application to Martijn Caspers.

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.
• Please do not contact us for unsolicited services.