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PhD Student Position in Advanced Sensor Technologies for Fall Risk Prediction and Rehabilitation, Sweden

Chalmers University of Technology, in collaboration with Sahlgrenska University Hospital, invites applications for PhD Student Position in Advanced Sensor Technologies for Fall Risk Prediction and Rehabilitation. This interdisciplinary project combines advanced commercial sensing technologies, artificial intelligence, and biomedical engineering to address a critical healthcare challenge affecting the elderly population worldwide.

To be eligible, applicants must hold a master’s degree (or equivalent) in electrical engineering, biomedical engineering, engineering physics, or a related field, with strong skills in experimental sensor work, signal processing, machine learning, and programming (e.g., MATLAB, Python, C/C++).

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Chalmers University of Technology is a world-renowned institution specializing in engineering, technology, and natural sciences. Known for its strong focus on innovation, sustainability, and industry collaboration, Chalmers offers cutting-edge research opportunities and high-quality education across various disciplines. The university fosters an international and inclusive environment, attracting students and researchers from around the globe to address real-world challenges through science and technology.

Application Deadline: 24 August 2025

Brief Description

  • University or Organization: Chalmers University of Technology

  • Department: Department of Electrical Engineering – Biomedical Electromagnetics Group

  • Course Level: PhD

  • Award: PhD position (up to five years, including 20% teaching or departmental duties)

  • Access Mode: Online application

  • Number of Awards: 1

  • Nationality: Domestic and international

  • The award can be taken in: Sweden

Eligibility

  • Eligible Countries: All

  • Acceptable Course or Subjects: The scholarship will be awarded in Advanced Sensor Technologies for Fall Risk Prediction and Rehabilitation, within the PhD program at Chalmers University of Technology.

  • Admissible Criteria: To be eligible, applicants must:

    • Hold a Master’s degree (or equivalent) in electrical engineering, biomedical engineering, engineering physics, or a related field.

    • Demonstrate strong interest and ability in experimental sensor work and AI-based data analysis.

    • Have solid knowledge of signal processing and machine learning.

    • Be proficient in programming (e.g., MATLAB, Python, C/C++).

    • Possess strong written and verbal communication skills in English.

    • Desirable: Hands-on experience with commercial sensing technologies (e.g., radar, IMUs), machine learning, or healthcare applications. Swedish language skills are an advantage.

How to Apply

Applications must be submitted in English as PDF files via the Chalmers online application system. Required documents:

  1. CV (titled: CV, Family name)

  2. Personal letter outlining your motivation and qualifications

  3. Two references with contact details

  4. Bachelor’s and Master’s thesis (if applicable) and transcripts

Contacts for Queries:

Benefits

  • Fully funded PhD position for up to five years

  • Opportunity to work in a leading research environment with access to cutting-edge facilities

  • Interdisciplinary collaboration with healthcare professionals

  • Swedish language courses for non-native speakers

  • Supportive and diverse working environment in Gothenburg, Sweden

Apply Now