Research engineer in generative deep learning for fine-grained classification - Hiring in process/Finished, not possible to apply

Job description

The RE will work on visual fine-grained classification. In particular they will compare image representations extracted from neural networks trained generatively to those trained discriminately via classification or self-supervised learning for this task. The particular focus will be on plankton species identification with the goal to improve classification and to ultimately identify of novel species with active learning. You will join a joint project between the groups of Josephine Sullivan at RPL, Prof Anders Andersson at the CBH school and Bengt Karlson at SMHI. Check out this article for https://www.kth.se/om/nyheter/centrala-nyheter/havets-oumbarliga-minsting-kartlaggs-1.1359180 details on this work can contribute to the science of plankton! You will develop your skills and knowledge in these areas:

1) Learn about modern image generation techniques

2) Conduct experiments on a GPU clusters

3) Review and critically analyze recent research in fine-grained classification

It is hoped the completed work will result in a published paper at either a computer vision conference or workshop. There is also the possibility to redefine the project to focus on active learning. 

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 get settled in Sweden and at KTH.

Read more about what it's like to work at KTH and our benefits.

Qualifications

Requirements

• A graduate degree or an advanced level (higher education) in the research subject or equivalent competence. 
• Experience with PyTorch (or similar deep learning software package) and training of
  standard deep learning architectures for non-trivial image datasets
• Knowledge of modern deep learning techniques
• You are good at working independently and collaborating with others

Preferred qualifications

• Awareness of diversity and equality issues, with a particular focus on gender equality

Great emphasis will be placed on personal skills.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

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

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

About the employment

The employment is valid for a limited time according to the agreement - for up to six months, with access according to agreement.

Other information

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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It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.

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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 precedence.