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PhD Scholarship in Computer Vision with Deep Learning for Human-Machine Collaboration – DTU Compute

Technical University of Denmark

Qualification Type: PhD
Location: Lyngby - Denmark
Funding for: UK Students, EU Students, International Students
Funding amount: Based on the collective agreement with the Danish Confederation of Professional Associations
Hours: Full Time
Placed On: 10th November 2023
Closes: 2nd January 2024

Do you want to advance the state-of-the-art research in computer vision systems using human-machine collaboration? The Technical University of Denmark (DTU) invites you to apply for a fully funded 3-year PhD position. The position is funded by the Sapere Aude: DFF-Starting grant. The position is offered at DTU, in the Department of Computer Science and Applied Mathematics, at the Visual Computing Group, and will work closely with researchers from the Pioneer Centre for AI.

Project description

Learning visual recognition models requires huge amounts of data, especially when relying on data-hungry deep neural networks. These data need to be manually and passively annotated by humans. This labeling procedure is one of the most important steps in a machine learning pipeline and is tedious, expensive, and susceptible to noise leading to erroneous labels. We aim to establish a deeper human-machine collaboration for all stages of the learning pipeline via multimodal labeling and learning. The goal of this project is to leverage information from different modalities that naturally occur near web images to assist the image annotation.  You will develop state-of-the-art multimodal models for self-supervision with human-in-the-loop text supervision. This PhD project will be supervised by Associate Professor (DTU).

Responsibilities

During the PhD program, you will: 

  • Work with state-of-the-art deep learning computer vision models.
  • Develop state-of-the-art models for human-machine collaboration in computer vision.
  • Publish scientific papers and present research results in top computer vision conferences (CVPR, ECCV, ICCV).
  • Spend a few months during the PhD program abroad.
  • Work as a teaching assistant in courses at DTU. 

Qualifications

To succeed in this position, you should have the following required skills: 

  • A master’s degree (120 ECTS points) or a similar in Computer Science, Informatics, Computer Engineering, Applied Mathematics or equivalent.
  • Proven experience in Python.
  • Hands-on experience with deep learning frameworks.
  • High level of motivation and innovation.
  • Experience in computer vision is a plus. 

Excellent written and communication skills in English.

Salary and appointment terms 

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years; start in Spring or Summer 2024.

Further information 

If you have questions, you are very welcome to contact Associate Professor Dimitrios Papadopoulos at dimp@dtu.dk

Application procedure 

To apply, please read the full job advertisement, by clicking the 'Apply' button

Technology for people

DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world. 

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