Research engineer in deep learning with focus on dermatology images - Hiring in process/Finished, not possible to apply

Job description

The position is announced in connection to the Vinnova project 2018-01987. The research engineer will sit in the division of RPL at KTH (Teknikringen 14). The work will be under the supervision of Hossein Azizpour from RPL and Kevin Smith from SciLifeLab. The position is short-term (3 months, with possible extension to 6 months) to work on a research project involving deep learning on dermatology images taken either by dermoscopes or ordinary cameras. The outcome of the position would be a scientific report and the corresponding documented code whose IP will be owned by the partner company in the Vinnova project and not the research engineer. The research results are however expected to be published at top machine learning/computer vision/life science venues with the research engineer as the main author. 

Qualifications

We are looking for a candidate who has taken courses in machine learning, deep learning, and computer vision and has extensive experience with deep learning. The position requires the development of deep learning software in a deep learning framework such as TensorFlow or PyTorch. Thus, familiarity and prior research experience with deep networks is a must. At the early stages, this project involves parsing and collecting dermatology data which requires good programming (C/C++ and Python) and database (Stockholm county health records database) skills. Finally, the candidate is required to have enough proficiency with Linux shell in order to smoothly run jobs on GPU servers remotely.

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 web page.

Application

Please register the following documents in your application: 

• Curriculum vitae
• Brief letter presenting yourself and why you are interested in this position

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 at KTH no later than the last day of application.

Other information

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