School of Engineering Sciences at KTH

Job description

We seek research engineers and/or computer scientists to join us at the KTH MoveAbility Lab, to work with a Digital Futures collaborative project with the Region Stockholm hospitals. The aim is to measure human movement with deep cameras, trained with machine learning.  Specific tasks with this position are:

  • Create an IOS app for the project that measures human movement with the inbuilt LiDAR sensors, uploads data in a relevant format to cloud storage, and enables video communication between clinician and patient.
  • Create a machine learning algorithm that improves validity of human movement measured from iOS devices with LiDAR cameras and Apple’s ARKit by training it on more precisely measured 3D movement data measured in our lab. The algorithm should correct systematic errors in ARKit’s human body model and compute anatomical joint positions and angles.
  • Validate whether body positions and angles computed with ARKit + machine learning can be accurate enough to be useful in measuring movement in persons with pathological movements due to motor disorders
  • Assist with validation experiments in the lab and elsewhere

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 is like to work at KTH

Qualifications

Requirements

  • A graduate degree or an advanced level (Masters or equivalent competence) in machine learning, computer science or other subject relevant for the project Experience and skills. Experience with creating machine learning algorithms
  • Be familiar with IOS and Apple devices in general
  • Have experience creating IOS apps
  • Have independence and drive to work on projects alone, even if senior researchers are not on site
  • Be able to work both independently and in a group/collaboration

Personal characteristics:

  • Reliable
  • Motivated
  • Responsibility-taking
  • Subject-related skills
  • Independent
  • Problem solving
  • Professional skills
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Preferred qualifications

  • Experience in human movement analysis or biomechanics
  • Experience writing technical reports in English
  • Experience with ARKit

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, 3-6 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

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. 

 

Type of employment Special fixed-term employment
Contract type Full-time/Part-time
First day of employment Enligt överenskommelse
Salary Månadslön
Number of positions 1
Full-time equivalent 50 -100%
City Stockholm
County Stockholms län
Country Sweden
Reference number S-2022-1988
Contact
  • Lanie Gutierrez Farewik, +4687907719
Published 27.Oct.2022
Last application date 18.Nov.2022 11:59 PM CET

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