The PhD position is focused on research aimed at efficient Deep Learning training in combination with motion analysis and / or task anticipation: future frame/class/appearance prediction.
The candidate will be working in the Computer Vision Lab (CV lab) of Pattern Recognition and Bio-informatics (PRB) group and will be supervised by Silvia Pintea.
The candidate is encouraged to work in close collaboration with other members from the PRB group, and especially the CV lab.
In Artificial Intelligence or Engineering / Computer Science or a similar field, with:
- A strong background in Computer Vision, Image Processing and Machine Learning.
- Good programming skills and familiarity with python.
- Strong mathematical background (especially linear algebra and calculus).
- Good presentation and writing skills and a good English level.
- High creativity and problem-solving skills.
Conditions of employment
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.
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 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 or the selection procedure, please contact dr. Silvia Pintea, Assistant Professpr in the Computer Vision Lab, email: email@example.com
Are you interested in this vacancy? Please apply before September 1, 2021 via the application button and upload the following documents:
- A short motivation letter of maximum ½ pages explaining why are you interested in this position.
- A curriculum vitae of no more than 1 page listing also your publications if applicable.
- A link to your Master’s thesis.
- A link to git repository containing the source code of your thesis / projects (if existing).
- A complete list of Master’s courses including grades and grading system.
- 2 academic references (No recommendation letters needed at this point).
Applications will be reviewed by dr. Silvia Pintea, Ass. Prof. in the Computer Vision Lab.