Assistant Professor in Physics-Informed Machine Learning

Updated: 16 days ago
Deadline: 25 Sep 2022

Machine learning is advancing on an extensive scale in the physical sciences. A substantial research effort is driven by the question of how to integrate physical prior knowledge into machine learning models in a principled, effective, and interpretable way.

As a tenure tracker in Physics-Informed Machine Learning at Delft University of Technology, you will strengthen and complement current and future research at the interface of computer science and the physical sciences. The principal aim is to study and develop methods and theory, to integrate physics into current machine learning technology, possibly at a fundamental level.

On the application side, these ML techniques could potentially contribute to ongoing research and development at TU Delft. Examples can be found in the material sciences, the earth sciences, and biologically inspired computer vision. The prospective research should, however, find applications primarily in the climate modeling challenges as put forth by the university’s Climate Action Program. You are expected to acquire funding for innovative projects from national and international funding agencies and contribute at an organizational level as well.

As a tenure tracker, you will inspire your colleagues and students through research and education, both in courses (existing or to be developed) and project-oriented education. With this position, you will take on a challenging bridging function between the Department of Intelligent Systems and the Department of Geoscience and Remote Sensing (as part of Civil Engineering and Geosciences). You will join our motivated, supportive, and sociable team of professors, teachers, Ph.D. students, and master’s students. We are an open group of people, heartily welcoming new people on our team. We will give you all the support you need to evolve in your tenure-track position.

You have a doctoral degree (Ph.D.), preferably in machine learning or a related discipline (for example, statistics), and an affinity with physics. You would be a convincing addition to our team if:

  • your focus is on methodological/theoretical developments
  • your track record demonstrates a critical mindset, an academic attitude, and relevant disciplinary expertise
  • you have the ambition to develop an independent line of research and build, inspire, and lead a research team
  • you have good communication and networking skills, specifically in regards to the interdisciplinary aspects of your position
  • you have a genuine interest in and aptitude for interdisciplinary teaching and research.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.
Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme.

TU Delft sets high standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. If you do not speak Dutch, we offer courses to learn the Dutch language.

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!

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 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.

For more information about the vacancy you can contact: Marco Loog, m.loog@tudelft.nl or prof.dr.ir M. Reinders, m.j.t.reinders@tudelft.nl.

Are you interested in this vacancy? Please apply before September 25, 2022 via the application button and upload your:

  • motivation letter
  • detailed CV
  • research statement
  • teaching statement
  • two references that we can approach.

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Acquisition in response to this vacancy is not appreciated.


Machine learning is advancing on an extensive scale in the physical sciences. A substantial research effort is driven by the question of how to integrate physical prior knowledge into machine learning models in a principled, effective, and interpretable way.

As a tenure tracker in Physics-Informed Machine Learning at Delft University of Technology, you will strengthen and complement current and future research at the interface of computer science and the physical sciences. The principal aim is to study and develop methods and theory, to integrate physics into current machine learning technology, possibly at a fundamental level.

On the application side, these ML techniques could potentially contribute to ongoing research and development at TU Delft. Examples can be found in the material sciences, the earth sciences, and biologically inspired computer vision. The prospective research should, however, find applications primarily in the climate modeling challenges as put forth by the university’s Climate Action Program. You are expected to acquire funding for innovative projects from national and international funding agencies and contribute at an organizational level as well.

As a tenure tracker, you will inspire your colleagues and students through research and education, both in courses (existing or to be developed) and project-oriented education. With this position, you will take on a challenging bridging function between the Department of Intelligent Systems and the Department of Geoscience and Remote Sensing (as part of Civil Engineering and Geosciences). You will join our motivated, supportive, and sociable team of professors, teachers, Ph.D. students, and master’s students. We are an open group of people, heartily welcoming new people on our team. We will give you all the support you need to evolve in your tenure-track position.

You have a doctoral degree (Ph.D.), preferably in machine learning or a related discipline (for example, statistics), and an affinity with physics. You would be a convincing addition to our team if:

  • your focus is on methodological/theoretical developments
  • your track record demonstrates a critical mindset, an academic attitude, and relevant disciplinary expertise
  • you have the ambition to develop an independent line of research and build, inspire, and lead a research team
  • you have good communication and networking skills, specifically in regards to the interdisciplinary aspects of your position
  • you have a genuine interest in and aptitude for interdisciplinary teaching and research.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.
Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme.

TU Delft sets high standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. If you do not speak Dutch, we offer courses to learn the Dutch language.

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!

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 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.

For more information about the vacancy you can contact: Marco Loog, m.loog@tudelft.nl or prof.dr.ir M. Reinders, m.j.t.reinders@tudelft.nl.

Are you interested in this vacancy? Please apply before September 25, 2022 via the application button and upload your:

  • motivation letter
  • detailed CV
  • research statement
  • teaching statement
  • two references that we can approach.

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Acquisition in response to this vacancy is not appreciated.


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