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  3. Assistant Professor Accelerating Quantum Physics or Nano-Science Developments using Artificial Intelligence

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Assistant Professor Accelerating Quantum Physics or Nano-Science Developments using Artificial Intelligence

Challenge Research in physical sciences and engineering depends on algorithms and big data analysis.
Change Application of modern data science and AI.
Impact Fundamental insights and breakthroughs, new paths to discovery and to applications.

ongeveer 2 maanden geleden


Mekelweg, Delft, Zuid-Holland
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
32 - 38 uur
€ 3746 - € 5127 per maand


Gaining new fundamental insights in the domains of physics, physical engineering, nano-science and nano-biology and breakthroughs depends more and more on computing solutions and big data analysis.

The emergence of Artificial Intelligence (AI) has accelerated these developments. Do you have a compelling research vision on AI in physics, physical engineering, health science, nano-science or nano-biology?

You will strengthen our research and education in physics, physical engineering, health science, nano-science or nano-biology, as a tenure-track assistant professor. With a strong background in chemical engineering and/or biotechnology and proven experience in application of AI, you will develop a new research line in one of our Departments that harnesses AI to address a relevant scientific or engineering challenge.

Your research programme could fit within the following, non-exclusive, areas:

  • quantum engineering, targeting quantum computing, sensing, transduction, and materials design,
  • design of materials for energy research, in particular for energy storage,
  • different areas of biomedical and computational imaging, ranging from molecular scale imaging with electron or light microscopy to medical imaging modalities,
  • bottom-up design of sub-cellular molecular machinery.

The faculty has the ambition to strengthen its position in AI education as well, as an understanding of the principles and applications of modern data science and AI is essential for new generations of physical and nano-engineers. It is anticipated that all bachelor and master programmes will incorporate an AI-component in the near future. The relevant programmes here are applied physics and nanobiology. You will take the lead in developing the AI components of these educational programmes. This requires setting up courses that add synergistically to the existing learning lines, as well as coordinating a coherent vision on AI education in physics and nanoscience, taking also into account embedding in the broader scope of AI in the engineering sciences. It is expected of the candidate to propose a vision on education in AI as well, considering the context described above.

Artificial intelligence, data and digitalisation are becoming increasingly important when looking for answers to major scientific and societal challenges. TU Delft is recruiting 16 talented researchers, who will have the opportunity to push the boundaries of science by using AI. Your drive is to solve research questions which arise from scientific and societal challenges and contribute to the development and execution of domain specific education. You will be a member of the thriving Artificial Intelligence community within TU Delft that fosters cross-fertilization between talents with different expertise and disciplines. The TU Delft AI Labs (DAI-Labs) are a perfect example how different disciplines work together in the field of AI.

You are expected to actively pursue collaboration within TU Delft with an AI expert. The faculty will help you in the matchmaking process with potential junior research partners in other faculties to establish a DAI-lab with a clear focus on research, education, and societal value. You are expected to propose a clear and appealing vision on a cooperation that would fit with your profile. Your position will be in the Departments of Quantum Nanosciences, Radiation Science and Technology, Bionanosciences, or Imaging Physics. The academic ambitions span the full range from fundamental discovery to inventing engineering solutions, and is approached by both fostering individual excellence and by investing in collaborative frameworks with relevant stakeholders in the different fields of science and the various application areas.


  • PhD in physics, physical engineering, health science, nano-science or nano-biology or a relevant field.
  • Ambitious vision on the development of your own research programme using AI
  • Experience working with large amounts of data and AI.
  • An excellent academic track record reflected by publications in leading international journals.
  • Experience with teaching and mentoring is considered an advantage.
  • The ability to work in a team and inspire others, take initiative, be results oriented
  • Good communication skills in verbal and written English.


At the start of the tenure-track, you will be appointed as Assistant Professor for the duration of six years. Section leader, department leaders and you will agree upon expected performance and (soft) skills. You will receive formal feedback on performance and skills during annual assessment meetings and the mid-term evaluation. If the performance and skills are evaluated positively at the end of the tenure track, you will be appointed in a permanent Assistant Professor position.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft sets specific standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. Inspiring, excellent education is our central aim. If you have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.

Additional information

For further information please contact Prof. dr. Sjoerd Stallinga