Phd Position Fundamental Visual Recognition

**PhD Position Fundamental Visual Recognition**:
**_Automatic visual recognition_**

**Job description**

This PhD position is about fundamental visual recognition. It is in the CV lab of the PRB section, INSY department, TU Delft. The research is about understanding-based research for data efficient visual recognition. Current models use hundred millions of images; where it is unclear where all this data comes from. The data is in the hands of large companies, who do not share their data. These companies have huge resources to process this data.

This is problematic for the long tail of companies and universities doing research and working with visual recognition models, because they neither have such amounts of data available, nor do they have the computational resources to process this data.

The goal of this 4-year PhD project is to let current models use less data. With less data we can better curate it; that means that we can much easier control for important societal challenges such as privacy, copyright, energy use, and biases in the data.

**Job requirements**
- Msc degree in fundamental visual recognition: understanding and/or efficient

**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.

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.

, Mathematics and Computer Science.

**Conditions of employment**

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

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**

**Application procedure**
- CV
- Motivational letter
- And the storyline for one of your finished research projects.

**Please note**:

- A pre-employment screening can be part of the selection procedure.
- Please do not contact us for unsolicited services.
- Faculty/Department: Faculty of Electrical Engineering, Mathematics & Computer Science
- Salary range: €2901 - €3707
- Hours per week: 38-40
- FTE: 2,0
- Submission is possible until: 15 Jul 2025
- ID job: 2340