PhD Student in Machine Learning and Robotics

Kungliga Tekniska högskolan, Skolan för datavetenskap och kommun / Datajobb / Stockholm
Observera att sista ansökningsdag har passerat.

Prenumerera på nya jobb hos Kungliga Tekniska högskolan, Skolan för datavetenskap och kommun

Visa alla datajobb i Stockholm, Solna, Lidingö, Sundbyberg, Danderyd eller i hela Sverige
Visa alla jobb hos Kungliga Tekniska högskolan, Skolan för datavetenskap och kommun i Stockholm, Solna eller i hela Sverige

KTH är ett av Europas ledande tekniska universitet och en viktig arena för kunskapsutveckling. Som Sveriges största universitet för teknisk forskning och utbildning samlar vi studenter, forskare och fakultet från hela världen. Vår forskning och utbildning omfattar såväl naturvetenskap som alla grenar inom teknik samt arkitektur, industriell ekonomi, samhällsplanering, teknisk historia och filosofi.

För mer information om skolan för datavetenskap och kommunikation, besök www.kth.se/csc .

Department

Your work will take place at the department of Computer Vision and Active Perception (CVAP).

CVAP focuses on research related to robotics, computer vision, and machine learning. Much of the research is conducted within EU projects, as well as within the inter-departmental Centre for Autonomous Systems (CAS). The department has also strong financial support e.g., from the Swedish Foundation for Strategic Research, the Swedish Research Council, and Knut and Alice Wallenbergs Foundation. For more information go to, http://www.kth.se/en/csc/forskning/cvap

Job description

We invite applications to two PhD student positions in Machine Learning and Robotics, specifically automatic recognition and communication of non-verbal signals. The successful applicants will join a new project at CVAP with the goal of developing a robot system that can detect early signs of Alzheimers. The PhD students will develop methods for recognition and production of non-verbal signals (arm motions, facial expressions, gaze patterns, etc). The students will work together, but with two distinct projects that connect to each other in different ways. The project will incorporate collaboration with researchers at CSC/TMH and the Karolinska Institute. This is a four-year time-limited position that can be extended up to a year with the inclusion of a maximum of 20% departmental duties, usually teaching. In order to be employed, you must apply and be accepted as a doctoral student at KTH. The starting date is open for discussion, though ideally we would like the successful candidate to start as soon as possible.

Qualifications

Master degree with specialization in Robotics, Computer Vision, or Machine Learning. Applicants must be strongly motivated for doctoral studies, possess the ability to work independently and perform critical analysis and also possess good levels of cooperative and communicative abilities. Applicants must also possess good oral and written English skills.

Trade union representatives

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

Application

Application shall include the following documents:

1. Curriculum vitae. 2. Transcripts from University. 3. Cover letter where you tell use your motivation for applying, in less than one page 4. Contact information for at least 2 references. Please observe that all material needs to be in English, apart from the official document

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, midnight CET/CEST (Central European Time/Central European Summer Time).

Others

For more information about doctoral studies at KTH, https://www.kth.se/en/studies/phd/doctoral-studies-phd-1.9318

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.

Varaktighet, arbetstid
100%. Tillträde: According to agreement Visstidsanställning

Publiceringsdatum
2016-06-09

Ersättning
According to KTH's PhD student salary agreement

Så ansöker du
Sista dag att ansöka är 2016-08-01
Ange följande referens när du ansöker: D-2016-0388
Klicka på denna länk för att göra din ansökan

Kontakt
Hedvig Kjellström, Professor hedvig@kth.se / 08-790 69 06
Frågor om anställning: Maria Widlund, HR-Chef mwidlund@.kth.se / 08-790 97 54
Doktorandrepresentant: Peter Ahlström, Doktorand dr-ordf@csc.kth.se

Företag
Kungliga Tekniska högskolan, Skolan för datavetenskap och kommunikation

Adress
Kungliga Tekniska högskolan, Skolan för datavetenskap och kommunikation
Lindstedtsvägen 3-5/Osquars Backe 2
10044 Stockholm

Kontorsadress
Lindstedtsvägen 3-5/Osquars Backe 2

Jobbnummer
2894773

Observera att sista ansökningsdag har passerat.

Prenumerera på jobb från Kungliga Tekniska högskolan, Skolan för datavetenskap och kommun

Fyll i din e-postadress för att få e-postnotifiering när det dyker upp fler lediga jobb hos Kungliga Tekniska högskolan, Skolan för datavetenskap och kommun: