Ph.D. Position in AI/ML-based Mobile Cognitive Context Sensing Systems

PhD research on intersection of mobile computing systems and machine learning to address fundamental challenges in developing efficient cognitive context sensing systems using eye-tracking

Current advances in mobile systems and machine learning are making eye-tracking on the verge of becoming pervasive. Indeed, eye-tracking has shown great potential to enable a new genre of cognition context sensing systems with great societal impacts. For instance, in the healthcare domain, eye tracking can be used to monitor the physical and psychological well-being, such as Alzheimer’s disease, bipolar disorder, and Autism. In the context of industrial maintenance and training, eye tracking can be coupled with AR/VR systems to monitor the user’s “brainpower”.

In this project, we are seeking a highly motivated candidate to work on the intersection of mobile computing systems and machine learning to address the fundamental challenges in developing efficient cognitive context sensing systems using eye-tracking. Specifically, the candidate will contribute towards the following directions:

  • Developing solutions to achieve pervasive and robust eye-tracking and cognitive context sensing systems for ``in the wild’’ scenarios.
  • Designing innovative eye-tracking-based ``killer apps’’ that can address societal needs in precision healthcare.
  • Developing edge computing and federated learning-based framework to tackle challenges in both system efficiency and data privacy

Major requirements for this position are:

  • The applicant should hold a Master’s degree with excellent marks in Computer Science, Electrical Engineering, Computer Engineering, or related field.
  • Demonstrated skill or experience in the following areas will be considered as an advantage: (1) design and programming for mobile or embedded systems, (2) deep learning and associated framework (e.g., PyTorch, TensorFlow, Keras), (3) signal processing for time-series and image data, (4) edge and distributed computing.
  • Strong passion for researching mobile computing systems and machine learning.
  • Excellent oral and written communication skills.
  • Successful candidate is expected to be a team player.

contract: 4 jaar.

TU Delft offers PhD-candidates a 4-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3061 in the fourth year. 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 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.

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 and aim to be as inclusive as possible (see our Code of Conduct). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science

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 this vacancy, please contact Dr. Guohao Lan, Assistant Professor (incoming), email: or tel: +31(0)152785798.


TU Delft



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