School of Architecture and Built Environment at KTH

Project description

Third-cycle subject: Geodesy and Geoinformatics

The Group of Navigation and Perception at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in navigation, signal processing, optimal estimation, and machine learning. Our research focuses on advancing next-generation navigation technologies for complex built environments and developing intelligent solutions to support a smart, sustainable, and resilient society.

Awareness of location and environmental context is crucial for applications such as location-based services (LBS), well-being promotion, and AI-driven decision-making. This is particularly relevant in scenarios where personal smart devices (e.g., smartphones) or autonomous perception systems operate in challenging built environments, such as indoor spaces, urban areas, and even underground settings. However, achieving accurate and reliable positioning in such environments remains a significant challenge.

This PhD project aims to develop novel AI-driven methods for trustworthy positioning and environmental perception, with a particular focus on mobile devices with limited computational resources and power supply. The research will explore sensor fusion techniques, deep learning models, and optimization strategies to enhance location awareness and situational understanding in complex and dynamic environments.

Supervision: Jingbin Liu is proposed to supervise the doctoral student. Decisions is made on admission.

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.

An earlier specialization in machine learning, signal processing, navigation and embedded hardware system development is highly desirable and especially meritorious. Previous experience in academic publishing and participation in research projects are a plus.

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.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • 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.

It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.

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 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 PA-2025-0741
Contact
  • Milan Horemuz, avdelningschef, milan.horemuz@abe.kth.se,08-7907335
  • Ida-Maria Bruhn, HR-handläggare, imbruhn@kth.se,08-7908646
Published 13.Mar.2025
Last application date 03.Apr.2025 11:59 PM CEST
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