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Project Description

Research Subject: Geodesy and Geoinformatics

The Navigation and Perception group at KTH is seeking a highly motivated PhD candidate with a strong background and interest in navigation, signal processing, optimal estimation, and machine learning.

Our research focuses on developing next-generation navigation technologies for complex built environments and creating intelligent solutions to support a smart, sustainable, and resilient society.

Awareness of position and environmental context is crucial for applications such as location-based services (LBS), well-being promotion measures, 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 settings, urban areas, and even underground environments. However, achieving accurate and reliable positioning in such environments remains a significant challenge.

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

Supervision: Jingbin Liu is proposed to supervise the PhD candidate. Decisions will be made upon admission.

We Offer

• The opportunity to pursue a PhD (https://www.kth.se/en/studies/phd).
• A workplace with many benefits (https://www.kth.se/om/work-at-kth/en-arbetsplats-med-manga-formaner-1.467932) and a monthly salary according to the PhD salary scale (https://intra.kth.se/anstallning/anstallningsvillkor/lon/doktorandstegen-1.572915).
• PhD education at an institution that is active and supportive in matters concerning, e.g., working conditions, equality, and diversity as well as study environment.
• Work and study in Stockholm with proximity to nature and the sea.

Eligibility for Admission

To be admitted to doctoral education (Chapter 7, Section 39 of the Higher Education Ordinance), the applicant must have basic eligibility:

• completed a master's degree, or
• fulfilled course requirements of at least 240 higher education credits, of which at least 60 higher education credits at the master's level, or
• acquired equivalent knowledge in some other way, within or outside the country.

In addition to the above, there are also admission requirements (https://www.kth.se/en/studies/phd/admission-requirements-1.520175).

Selection

To succeed in your doctoral studies at KTH, you need to be goal-oriented and persistent in your work. The selection of applicants will assess the ability to:

• independently drive their work forward,
• collaborate with others,
• maintain a professional approach, and
• analyze and work with complex issues.

A previous specialization in machine learning, signal processing, navigation, and development of embedded hardware systems is highly desirable and particularly meritorious. Previous experience in academic publishing and participation in research projects is an advantage.

After the eligibility requirements, great importance will be placed on personal qualities.

Target Degree: Doctorate

Information on Admission and Employment

Only those who have been admitted to doctoral education may be employed as a PhD candidate. The total employment period may not exceed what corresponds to full-time doctoral education for four years. An employed PhD candidate may, to a limited extent (maximum 20%), perform certain tasks in, e.g., education and administration. A new employment as a PhD candidate is valid for a maximum of one year, and the employment may then be renewed for a maximum of two years at a time. For studies that will conclude with a licentiate degree, the total employment period may not exceed what corresponds to full-time doctoral education for two years.

Union Representatives

Contact details for union representatives (https://intra.kth.se/administration/rekrytering/annonsering/fackrepresentanter-1.500898).

The Doctoral Section (Student Union of the Royal Institute of Technology) Contact details for the Doctoral Section (https://www.dr.kth.se/).

Application

You apply via KTH's recruitment system. As an applicant, you have the primary responsibility for ensuring that your application is complete when submitted.

The application must be received by KTH no later than the last application date at midnight, CET/CEST (Central European Time/Central European Summer Time).

The application should include the following content:

• CV with relevant professional experiences and skills.
• Cover letter with a brief explanation of why you want to pursue doctoral studies, your academic interests, and how they relate to your previous studies and future goals. (Max 2 pages)
• Copies of diplomas and transcripts from previous university studies and certificates of fulfilled requirements (https://www.kth.se/en/studies/phd/admission-requirements-1.520175). Translations into English or Swedish if the original documents are not issued in one of these languages. Copies of originals must be verified (https://www.kth.se/student/studier/examen/vidimering-av-handlingar-1.55190).
• Representative publications or technical reports. For longer documents, please attach a summary (abstract) and a web link to the full text.

Other

The pursuit of equality, diversity, and equal opportunities is both a quality issue and an obvious part of KTH's values.

For processing of personal data (https://www.kth.se/om/work-at-kth/processing-of-personal-data-in-the-recruitment-process-1.823440) in connection with recruitment.

It may occur that an employment at KTH is classified in a security class. If this is the case for this particular employment, a security review of the applicant will be conducted in accordance with the Security Protection Act (2018:585) after consent. In these cases, a prerequisite for employment is that the applicant is approved after the security review.

We kindly ask for no direct contact with staffing and recruitment companies or sellers of job advertisements.

About KTH

KTH is one of Europe's leading technical universities and an important arena for knowledge development. As Sweden's largest university for technical research and education, we bring together students, researchers, and faculty from around the world. Our research and education encompass both natural sciences and all branches of engineering as well as architecture, industrial economics, urban planning, history, and philosophy. Learn more about KTH (https://www.kth.se/om/om-kth-1.885102).