PhD Candidate in Machine Learning to interpret dog communication

2 weeks ago

Stockholm, Sweden KTH - Royal Institute of Technology Full time

School of Electrical Engineering and Computer Science at KTH Project Third-cycle subject: Computer Science

The project’s goal is to develop an automatic interpreter from dog communicative behavior to textual s, to give humans insight into how a dog in their care experiences the world. The project includes method development in Computer Vision - to extract 3D poses for animals in video, and in Machine Learning - to develop neural language models and methods for semi-supervised learning. Design and execution of data collection on dogs is an important element of this project, and the project is conducted in collaboration with ethologists at SLU in Uppsala.

Supervision: Prof. Hedvig Kjellström 

What we offer
  • The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world .
  • A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
  • A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
  • Work and study in Stockholm, close to nature and the water.
  • Help to relocate and be settled in Sweden and at KTH .
Admission requirements To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • passed a second cycle degree (for example a master’s degree), or
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge

The applicant to this position must also have a Master degree with a major in Machine Learning, Artificial Intelligence, Signal Processing or Computer Vision.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

  • independently pursue his or her work
  • collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.

For this position, we put great emphasis on documented experience of machine learning, especially programming of deep neural networks. You should also have documented experience of analysis of motion data, e.g. motion capture data.
Moreover, experience with dog-related applications dogs is meriting.

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree

Information regarding admission and employment Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ’ time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.

Union representatives You will find contact information for union representatives on KTH’s website .

Doctoral section (Students’ union on KTH Royal Institute of Technology) You will find contact information for doctoral section on the section’s website .

To apply for the position 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).

Applications must include the following elements:

  • CV including your relevant professional experience and knowledge.
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above) . Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified .
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
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.

The position may include security- sensitive activities. To become authorized, you therefore need to pass a possible security check.

We firmly decline all contact with staffing, 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.

About KTH 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. Read more here

Apply here

Type of employment

Temporary position

Contract type

Full time

Full-time equivalent

100%

First day of employment

According to agreement, No later than October 1st 2024

Salary

Monthly salary according to KTH's doctoral student salary agreement

Number of positions

1

Location

Stockholm

County

Stockholms län

Country

Sweden

Reference number

J-2024-1175

Published

02.May.2024

Last application date

16.May.2024

Contact

Prof. Hedvig Kjellström
hedvig @kth.se

In your application, please refer to myScience.org and reference  JobID 2883802 .

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