|Publication date||10 October 2019|
|Closing date||15 December 2019|
|Level of education||Master's degree|
|Hours||38 hours per week|
|Salary indication||€2,325 to €2,972 gross per month|
The Informatics Institute is inviting applications for a fully funded PhD position (4 years) in the field of computer vision and in particular automatic visibility enhancement using deep learning. Visibility in outdoor environment can be adversely affected by various weather conditions and consequently degrade the performance of computer vision algorithms. Visibility enhancement is therefore essential.
The overall research requires a combination of computer vision and machine learning activities. The research conducted by the University of Amsterdam is mainly in the field of computer vision to develop deep learning methods to automatically perform visibility enhancement in outdoor scenes.
In this position you will do research under the supervision of Assistant professor Dr Shaodi You within the Computer Vision group of the Informatics Institute.
The overall aim of the position is to develop a series of computer vision algorithms and technologies for visibility enhancement. It is also expected that you will pursue a PhD degree. In aim of that, you will need to thoroughly understand the task, the existing approaches and propose cutting edge solutions.
In detail, you need to propose solutions for computer vision algorithms which are adversely affected by rain, haze, fog, snow, etc. This includes a range of skill sets across physics, geometry, optics and sensor, image processing, computer vision and machine learning. Good coding skills for deep learning and image processing is also essential.
A temporary contract for 38 hours per week, preferably starting at 1 March 2020 for the duration of 18 months. After a satisfactory evaluation your contract will be extended for a total duration of 4 years. You will get a customized Training and Supervision Plan, that will be evaluated every year.
The salary will be €2.325 to €2.972 (scale P) gross per month, based on fulltime (38 hours a week), exclusive 8 % holiday allowance and 8.3 % end-of-year bonus. A favorable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.
Are you curious about our extensive package of secondary employment benefits? Then find out more about working at the Faculty of Science.
Do you have questions about this vacancy? Or do you want to know more about our organisation? Please contact:
About the Faculty of Science
The Faculty of Science has a student body of around 6,500, as well as 1,600 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The mission of the Informatics Institute is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
The Computer Vision group is directed by Prof. Theo Gevers and conducts research in theories, representation models and computational methods which are essential for (3D) image and video understanding. Members of the group participate in teaching for the international (research) Master Artificial Intelligence and contributes to various Bachelor and Master programmes within the UvA.
The UvA is an equal-opportunity employer. We prioritise diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.
Applications should include:
We will invite potential candidates for interviews on 15 and 22 January 2020. #LI-DNP
No agencies please