Connectionists: [job] Doctoral student in Deep Learning in Stockholm Sweden

[Kevin Smith]

*Project description*

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
   <https://www.kth.se/en/alumni>.
   - A personal study plan to support your development within your areas of
   interest.
   - A workplace with many employee benefits
   <https://intra.kth.se/en/anstallning/anstallningsvillkor/personalformaner-kth-for-mig-1.365793>and
   monthly salary according to KTH's doctoral student salary agreement
   <https://intra.kth.se/en/anstallning/anstallningsvillkor/lon/doktorandstegen-1.572915>
   .
   - Work and study in Stockholm, one of Europe´s fastest growing capitals,
   which is close to both nature and the sea.
   - Help to relocate and get settled in Sweden and at KTH
   <https://www.kth.se/en/om/work-at-kth/relocation>.

*Eligibility*

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.

*Selection*

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,
   - have a professional approach and
   - analyse and work with complex issues.


For more information, visit

https://www.kth.se/en/api/lediga-jobb/what:job/jobID:218559/where:4/
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