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PhD Scholarship in Machine Learning at KTH Royal Institute of Technology

KTH Royal Institute of Technology is pleased to invite applicants to apply for a new opening PhD position in computer science. This position is available for two years. The deadline to apply is January 06, 2019.

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.

Third-cycle subject: Computer science with the focus on machine learning

We are searching for a doctoral student in machine learning for a project at the Department of Robotics, Perception, and Learning (https://www.kth.se/rpl/).

The project for which we are recruiting a doctoral student is called EnTimeMent (https://cordis.europa.eu/project/rcn/218717_en.html). The purpose is to find better methods to analyze and understand how humans move over different time horizons, from fractions of a second when you stretch out your hand for a greeting, to days as humans move around during their daily lives. Possible applications can be found in rehabilitation, entertainment, and human-machine interaction.

The doctoral student will work on both discriminative and generative machine learning methods to analyze, predict and generate movement patterns, typically using visual data, but also data from other sensors, such as accelerometers. The goal is to extend the time horizon over which human movement can be predicted and infer things such as an individual’s emotional state from his movement.

The student should have a strong interest in machine learning, a good understanding of mathematics and computer science, and preferably an interest in collaborating with participants from various application areas.

In order to succeed as a doctoral student at KTH, you need to be goal oriented and persevering in your work.

Also of merit: good spoken and written English language skills, good knowledge in machine learning, computer vision and mathematical statistics, good general programming skills and good ability to understand and experience in reimplementing scientific articles.

After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

You will find contact information for the doctoral section on the section’s website.

Apply for the position and admission through KTH’s recruitment system. It is the applicant's responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/central European Summer Time).


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