Postdoc in applied algebra and geometry

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.

The research group in Applied Algebraic Geometry at the Department of Mathematics is offering a post-doctoral position for 2 years, with Kathlén Kohn as mentor. The position is funded by WASP (Wallenberg AI, Autonomous Systems and Software Program). The main duty is research, in particular on the multidisciplinary WASP NEST 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), Cristian Sminchisescu (computer vision and machine learning at Lund University), and Mårten Björkman (robotics, perception and learning at KTH). A limited amount of teaching or supervision and some administration (e.g., organising seminars or workshops, or maintaining websites) may be part of the duties.

For more information about the research project see:

https://kathlenkohn.github.io/postdoc

• 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
• Work at a multidisciplinary project together with leading experts in algebraic geometry, computer vision and machine learning at 3 Swedish universities
• Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Requirements

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
• Strong background in algebraic, complex, differential, or discrete geometry, or related areas of mathematics.
• Strong interest in applications, particularly machine learning and computer vision.
• Written and spoken English proficiency, very good communication and teamwork skills, in particular a willingness to collaborate with engineers and industry.
• Strong motivation and ability to work independently.

Preferred qualifications

• Background in machine learning or computer vision.
• Documented teaching abilities.
• Awareness of diversity and equal opportunity issues, notably regarding gender equality.

Great emphasis will be placed on personal competency.

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

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 ad.

• CV including list of publications
• 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 want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.
• Up to three letters of recommendation. The applicant should arrange for these to be sent directly to [email protected]
• Contact information for at least two references. We reserve the right to contact these persons only for interviewed candidates.

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).

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

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.