Connectionists: PhD student in deep learning at KTH Royal Institute of Technology, Stockholm Sweden

[Kevin Smith]

Job description:



Deep learning has dramatically pushed the performance of many intelligent
systems, but many important questions remain open for research. How can we
make sense of the high capacity of deep networks? How should one interpret
its decision making process? How can we transfer knowledge from an
information-rich application to tasks where data is scarce? What are the
limits of its application in other fields? The role of the doctoral student
will be to develop theoretical advances regarding these research questions
and focus on applying them to problems in computer vision and/or biomedical
image analysis. Possible topics of interest include: knowledge transfer,
universal representation and learning, understanding deep networks,
explainability, and generative models. Should the student be willing and
sufficiently experienced, they will have some freedom to steer the
direction of research.



This is a four (4) year time-limited position with full funding and support
for travel to conferences, etc. It can be extended up to five (5) years
with the inclusion of a maximum of 20% departmental duties, typically
teaching.



In order to be employed, you must apply and be accepted as a doctoral
student at KTH. The starting date is open for discussion, though we would
like the successful candidate to start as soon as possible.



Eligibility

To be admitted to postgraduate education, 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
   -

   Requirements for English equivalent to English B/6 read more here

Selection

In order to succeed as a doctoral student at KTH you need to be goal
oriented and persevering in your work. During selection process, candidates
will be assessed upon their ability to:

   -

   independently pursue his or her work
   -

   collaborate with others
   -

   have a professional approach and
   -

   analyse and work with complex issues
   -

   Good knowledge of English and ability to express themselves clearly in
   speech and writing
   -

   Motivation for doctoral studies
   -

   Mathematical skillset
   -

   Experience in use of deep learning frameworks including TensorFlow,
   PyTorch, Keras, Caffe, MXNet, etc as well as familiarity with Linux
   -

   After qualification requirements, great emphasis will be placed on
   personal qualities and personal suitability



Application:



Log into KTH's recruitment system in order to apply to this position (
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:349832/where:4/).
You are responsible to ensure that your application is complete according
to the ad.



Applications shall include the following documents:

1. A short (1 page) statement of interest with a project proposal
describing a topic around deep learning and/or biomedical image analysis
that you would like to pursue in your doctoral studies..

2. Curriculum vitae

3. Transcripts from university/university college

4. Representative publications or another example of the applicant’s
original technical writing, e.g., thesis, technical report, etc.



Please observe that all material needs to be in English.



Your complete application must be received at KTH no later than 08.Oct.2020
11:59 PM CET



About KTH and Science for Life Laboratory:

KTH Royal Institute of Technology in Stockholm (www.kth.se) is 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 in architecture, industrial management, urban
planning, history and philosophy. The position will be formally placed with
the department for Computational Science and Technology (CST) at KTH (
https://www.kth.se/en/csc/forskning/cst), but work will be carried out at
the Science for Life Laboratory (www.scilifelab.se).



The Science for Life Laboratory (SciLifeLab) is a collaboration between
four universities in Stockholm and Uppsala: Karolinska Institutet, KTH,
Stockholm University and Uppsala University. It combines advanced
technology with broad knowledge in translational medicine and molecular
life sciences. Since 2013, SciLifeLab has a mission from the Swedish
government to run infrastructure to support researchers nationally and to
be an internationally leading center for large-scale analyses in molecular
life sciences targeting research in health and environment.



Other details:



Type of employment: Temporary position longer than 6 months

Contract type: Full time

First day of employment: According to agreement

Salary: Monthly salary

Number of positions: 1

Working hours: 100%

City: Stockholm

County: Stockholms län

Country: Sweden

Reference number: J-2020-1775



Contact:

Anna Olanås Jansson / HR Administrator, annaoj at kth.se
Kevin Smith, Associate Professor, ksmith at kth.se
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