Research Engineer in Deep Learning for Ultrasound Image Analysis - Hiring in process/Finished, not possible to apply

Job description

Welcome with your application to join in close collaboration the Division of Computational Science and Technology at KTH Royal Institute of Technology in close collaboration with Gynekologisk forskargrupp - Elisabeth Epstein Karolinska Institutet (ki.se), at Karolinska Institutet, Södersjukhuset.

The candidate will be responsible for developing software and tools to support our ongoing research project on deep learning for ultrasound images. The candidate will be responsible for training and deploying neural networks, curating datasets, and other technical tasks associated with the project. The candidate will need a strong technical background in machine learning and mathematics, but must also be capable of communicating with doctors on a regular basis. The candidate will likely be involved in the writing of scientific articles.

KTH Royal Institute of Technology and other clinical disciplines), spanning from cutting-edge translational research, innovative projects aiming to implement the use of Artificial Intelligence (AI) in the diagnostic triage, and clinical ultrasound studies improving the risk prediction for every woman in order to optimize and individualise management. Recently we were, to the best of our knowledge, the first to show that AI, using deep neural networks (DNN), applied on ultrasound images of ovarian tumours had a diagnostic accuracy on par with  human ultrasound experts. Our research has been awarded grants from Vetenskapsrådet, Innovationsfonden, Radiumhemmets forskningsfonder, Cancerfornden, ALF-medicin and ALF-MHT.

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
• Help to relocate and get settled in Sweden and at KTH.

Read more about what it is like to work at KTH

Qualifications

Requirements

The candidate is required to have a BSc degree or an advanced level (higher education) in the research subject or equivalent competence. 

The candidate should:

• be able to work independently have a strong background in mathematics
• be proficient in Python programming
• have experience with computer vision models
• be experienced with PyTorch and TensorFlow
• be familiar with a Linux environment, including shell scripting have strong technical writing, fluent English or Swedish as it is required in the daily work
• Subject-related skills
• Professional skills
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality
• Collaborative abilities
• Independence

Great emphasis will be placed on personal competence and suitability.

Trade union representatives

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

Application

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.

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 6months, 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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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.