Doctoral student in Spatial Perception and Navigation in Built Environments Full-time NEW

Doctoral Student In Spatial Perception And Navigation In Built Environments

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 Spatial AI, Navigation, Sensor Fusion, Optimal Estimation, And Machine Learning. Our Research Focuses On Advancing Next-generation Spatial Intelligence 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 Are Made On Admission

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.

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
• Analyze And Work With Complex Issues.

An Earlier Specialization In Machine Learning, Sensor Fusion, Mobile Mapping, 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.