موقعیت دکترا در Deep Learning and Generative Networksادمین پژوهش
موقعیت دکترا در کشور سوئد همراه با فاند
Doctoral student in Deep Learning and Generative Networks
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
Third-cycle subject: Computer Science
KTH Electrical Engineering and Computer Science (EECS) announces a PhD position for potential projects funded by the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP). More information on the collaborative projects from WASP can be found here: http://wasp-sweden.org/wasp-announces-call-for-collaboration-projects/
The main focus of the research will be on generative deep learning models such as generative adversarial networks (GAN) and variational autoencoders (VAE). We aim to develop novel generative approaches that are capable of producing samples outside of the source domain in a way that appropriately reflects underlying uncertainty. Generative models that can more fully explore the image manifold can be a powerful tool to generate training examples for supervised learning. In reinforcement learning, generative models that incorporate uncertainty can enable efficient exploration of unknown environments without strong prior assumptions.
The research position is a 48 month time-limited position that can be extended up to one year dependant on the inclusion of a maximum of 20% departmental duties, usually teaching. In order to be employed, you must be accepted as a doctoral student at KTH. The starting data is open for discussion, though ideally we would like the successful candidate to start as soon as possible.
What we offer
The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
Life-long network through KTH’s Alumni organization.
A personal study plan to support your development within your areas of interest.
Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
passed a degree at advanced level,
completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
in any other way acquired within or outside the country acquired essentially equivalent knowledge.
The applicant must have a master’s degree in an area such as Computer Science, Electrical Engineering, Informatics or related fields. Documented written and spoken English and programming skills are required. Experience with machine learning and computer vision is an important asset. A strong background in mathematics and strong programming skills are also required.