PhD Student in Deep Learning and Generative Networks

A fully-funded PhD fellowship in artificial intelligence is available at KTH Royal Institute of Technology. The funding allows successful candidate to work for four years. This position is closed on October 12, 2018.

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.

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:

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.
- The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
- A personal study plan to support your development within your areas of interest.
- A workplace with many employee benefits and monthly salary according to KTH’s doctoral student salary agreement.
- Work and study in Stockholm, one of Europes fastest growing capitals, which is close to both nature and the sea.
- Help to relocate and get settled in Sweden and at KTH.

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:
- 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.

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:
- ability to independently pursue his or hers work,
- ability to collaborate with others,

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study. Decisions on employment as a doctoral student may not be appealed.

Eligibility, selection and admissions are regulated in KTH's admission regulations (in Swedish) and the program descriptions and current third-cycle subjects is described on KTH’s website.

Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Apply for the position and admission through KTH’s recruitment system. It is the applicant's responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).

Applications must include the following elements:
- Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
- Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
- Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

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