Postdoc in Algebraic Geometry applied to Machine Learning & Computer Vision - Hiring in process/Finished, not possible to apply

Job description

The Department of Mathematics at KTH invites applications to a postdoctoral position supervised by Kathlén Kohn. The position focuses on research in applied algebraic geometry within machine learning and computer vision.

The position is financed by the Wallenberg AI, Autonomous Systems and Software Program (WASP).

The successful candidate will work on the multidisciplinary project 3D Scene Perception, Embeddings and Neural Rendering led by Fredrik Kahl (computer vision and image analysis at Chalmers), Kathlén Kohn (algebraic geometry at KTH), and Mårten Björkman (robotics, perception and learning at KTH).

The Department of Mathematics at KTH offers a high-class, active research environment within a broad spectrum of mathematical fields, including (applied) algebraic geometry, algebraic statistics, discrete geometry, combinatorics, algebraic topology, the mathematical foundations for data and AI, and mathematical statistics.

The position is a time-limited two-year position that may include up to 20% teaching responsibilities (the equivalent of approximately one masters-level course per year). The starting date will be an agreed upon date in 2024.

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 and be settled in Sweden and at KTH
• Research on a multidisciplinary project including both mathematicians and engineers.

Read more about what it is like to work at KTH

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.

• We seek candidates with a background in areas related to algebraic, complex, differential, or discrete geometry, and with a strong interest and previous experience in machine learning or computer vision. 

• The successful application will be a highly motivated researcher, capable of working both independently as well as in collaboration with other researchers.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline

• A strong emphasis will be placed on scientific skills, pedagogical skills, the ability to work both independently and in collaboration with other researchers, and awareness of diversity and equal treatment issues with a particular focus on gender equality.
  

  Great emphasis will be placed on personal skills.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

To apply for the position

Log into KTH's recruitment system in order to apply for this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
• Brief account of why you apply to this position, your academic interests and how they relate to your previous studies and future goals. Max two pages long.
• Research Statement (max 2 pages).
• Contact information for two references.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

Others

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.