KTH Royal Institute of Technology

Doctoral student in Robotics - deep learning and multimodal data

2024-11-28 (Europe/Stockholm)
Gem job

Om arbejdsgiveren

Since its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering un...

Besøg arbejdsgiverens side

Project description

Third-cycle subject: Computer science

The doctoral student will work on representation learning where we aim at exploring the synergies between different modalities when learning representation models to allow for the efficient adaptation of pre-trained task pipelines to novel modules, be it of previously observed or novel modalities. 

Supervision: Professor Danica Kragic

What we offer

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

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.

We seek a candidate who has experience working with deep learning and multimodal data. 

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

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

Contact information for union representatives.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

Contact information for doctoral section.

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.

According to The Protective Security Act (2018-585), the candidate must undergo and pass security vetting if the position is placed in a security class. Information regarding whether the position is subject to such a classification will be provided during the recruitment process.

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.

 

 

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

Type of employment: Temporary position
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary according to KTH's doctoral student salary agreement
Number of positions: 1
Full-time equivalent: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: J-2024-2929
Contact:
  1. Prof. Danica Kragic Jensfelt, danik@kth.se
  2. HR Viktor Söderlund, rekrytering@eecs.kth.se
Published: 2024-11-07
Last application date: 2024-11-28

Jobbeskrivelse

Titel
Doctoral student in Robotics - deep learning and multimodal data
Beliggenhed
Brinellvägen 8 Stockholm, Sverige
Publiceret
2024-11-07
Ansøgningsfrist
2024-11-28 23:59 (Europe/Stockholm)
2024-11-28 23:59 (CET)
Jobtype
Gem job

Flere job fra denne arbejdsgiver

Om arbejdsgiveren

Since its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering un...

Besøg arbejdsgiverens side

Interessante artikler

...
Speeding Up DNA Analysis With String Algorithms Centrum Wiskunde & Informatica (CWI) 4 min læsning
...
Deciphering the Gut’s Clues to Our Health University of Turku 5 min læsning
...
Understanding Users to Optimise 3D Experiences Centrum Wiskunde & Informatica (CWI) 5 min læsning
...
Control Systems: The Key to Our Automated Future? Max Planck Institute for Software Systems (MPI-SWS) 5 min læsning
Flere Stories