The division of Computational Science and Technology is seeking a Postdoc in
Computer Vision / Machine Learning / Applied Mathematics to handle scale-
dependent image information in deep networks.
In our research, we develop deep networks for processing image data that
handle scaling transformations and other image transformations in a
theoretically well-founded manner. Our research in this area comprises both
theoretical modelling of the influence of image transformations on different
architectures for deep networks and the experimental evaluation of such
networks on benchmark datasets to explore their properties. The work also
comprises the creation of new benchmark datasets, to enable characterization
of properties of deep networks that are not covered by existing datasets. For
examples of our previous work in this area, see
https: // www. kth.se/profile/tony/page/deep-networks
Within the scope of this postdoc position, you are expected to work on and
contribute to the research frontier regarding scale-covariant or scale-
equivariant deep networks and/or deep networks parameterized in terms of
Gaussian derivatives, on specific research topics that we choose together.
The selected candidate will work closely together with the project leader Tony
What we offer
A position at a leading technical university that generates knowledge and
skills for a sustainable future
Engaged and ambitious colleagues along with a creative, international and
dynamic working environment
Work in Stockholm, in close proximity to nature
Help to relocate relocate and be settled in Sweden and at KTH
An opportunity to work on a project in the research frontier, with close
links between theoretical analysis and experimental
An interdisciplinary working environment where the candidate will have an
opportunity to develop new complementary skills
Read more about what it is like to work at KTH
A doctoral degree or an equivalent foreign degree, This eligibility
requirement must be met no later than the time the employment decision is
We are looking for a candidate with a PhD in Computer Vision, Machine
Learning, Applied Mathematics or a related discipline dealing with
automated analysis of image information.
Previous experience with experimental evaluations using deep learning
architectures applied to image data is necessary, preferably PyTorch.
A theoretical background in continuous mathematics for modelling
convolutions and the influence of image transformations on image data is
Knowledge and skills that are meritorious for the position:
A doctoral degree or an equivalent foreign degree, obtained within the
last three years prior to the application deadline
Awareness of diversity and equal opportunity issues, with specific focus
on gender equality
As a person you have excellent scientific and collaborative skills, in
combination with independence, with very good ability to get into new
scientific theories and conduct implementations and experimental evaluations
in close collaboration with the research environment you are working in.
Awareness of diversity and equal opportunity issues, with specific focus on
gender equality is also important.
The preferred candidates should have demonstrated expertise (through
publications) in any one of the following:
Deep networks that handle image information for computer vision tasks,
including experimental evaluation using modern architectures for deep
Continuous models for deep networks applied to image information.
Theoretical modelling of scaling transformations or other image
transformations applied to automated processing of image information.
Great emphasis will be placed on personal competency.
Trade union representatives
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Log into KTH's recruitment system in order to apply to this position. You are
the main responsible to ensure that your application is complete according to
The application must include :
• CV including relevant professional experience and knowledge.
• Copy of diplomas. Brief summary of previous work. (Max 2 A4 pages in
legible font size).
• A statement of why you are interested in as well as suitable for this
position. (Max 2 A4 pages in legible font size).
• Contact details of two academic referees.
• Information about when you would be available for this position
Your complete application must be received at KTH no later than the last day
of application, midnight CET/CEST (Central European Time/Central European
About the employment
The position offered is for, at the most, three years.
A position as a postdoctoral fellow is a time-limited qualified appointment
focusing mainly on research, intended as a first career step after a
Striving towards gender equality, diversity and equal conditions is both a
question of quality for KTH and a given part of our values.
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Disclaimer: In case of discrepancy between the Swedish original and the
English translation of the job announcement, the Swedish version takes