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Uppsala University
3 days ago
PhD position in Electrical Engineering with Specialization in Signal Processing Uppsala University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
Full-time doctoral employment for 48 months with pension contributions, comprehensive social benefits, generous parental leave, paid annual vacation, and an additional salary supplement from the Department of Electrical Engineering.
Deadline
Nov 30, 2026
Country
Sweden
University
Uppsala University
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About this position
This PhD position is based at the Department of Electrical Engineering at Uppsala University, within the Division of Signals and Systems at the Ångström Laboratory. The project, Multi-Modal Environment Modeling for Wireless Spatial Intelligence, sits at the intersection of wireless communications, signal processing, AI, and sensing.
The research aims to move future wireless networks beyond data transmission toward systems that can also perceive and understand the physical world. The doctoral project will develop model-based and learning-based methods for wireless localization, integrated sensing and communication, and multi-modal environment modeling by combining wireless measurements with complementary information such as vision, geometry, maps, and other sensing modalities.
The student will work on foundational theories, algorithms, and system architectures for wireless spatial intelligence. A central theme is the creation of semantic multi-modal representations of physical environments and the study of how distributed wireless devices can collaboratively learn, maintain, and exchange those representations for cooperative perception, sensing, localization, and environment understanding.
Research tasks include developing multi-modal representations from wireless, visual, geometric, and map-based observations; learning radio and electromagnetic primitives; designing collaborative perception and semantic information sharing mechanisms; building methods for multi-modal-aided localization and 3D reconstruction; and constructing differentiable rendering, simulation, and learning pipelines for wireless world models. The project also addresses identifiability, uncertainty, robustness, and generalization across scenarios and frequency bands.
The work is intended to produce new AI models and algorithms through mathematical analysis, simulation, and experimental validation. The position also offers opportunities for research visits and internships through an international collaboration network with universities, research institutes, and industrial partners.
The research environment is international and interdisciplinary, and the department has broad strengths in renewable energy, electric vehicles, industrial IoT, 6G communication, wireless sensor networks, smart sensors, and medical systems.
Funding details
Full-time doctoral employment for 48 months with pension contributions, comprehensive social benefits, generous parental leave, paid annual vacation, and an additional salary supplement from the Department of Electrical Engineering.
What's required
Master of Science in Engineering, or a foreign degree deemed equivalent, in Electrical Engineering, Computer Science, or related fields. Strong knowledge in at least two of the following is required: wireless communications, signal processing, statistical inference, optimization, machine learning, computer vision, and robotics. Experience in one or more of these areas is highly desirable: 5G/6G communication systems, integrated sensing and communication (ISAC), wireless localization and sensing, radio propagation, SLAM, scene understanding, embodied AI, multimodal learning, physics-informed machine learning, generative AI, or world models. Excellent spoken and written English is required, and applicants are encouraged to provide TOEFL or IELTS scores if available. Strong programming skills in Python and experience with scientific computing and machine-learning frameworks such as PyTorch and TensorFlow are expected. Personal qualities such as analytical thinking, curiosity, creativity, independence, and communication skills are highly valued.
How to apply
Submit an application with a brief research-interest description and relevant experience (max 2 pages), CV, copies of diplomas and certificates, thesis or draft, and other relevant documents. You are encouraged to include the contact information of two academic referees. Apply through the Varbi application link before the deadline.
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