COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The family-like atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

This position is for School of Computing and Information Systems (SCIS).
Design, prototype and maintain magnetic sensing hardware (magnetometer arrays, custom PCBs) and embeddeddata-acquisition pipelines.
Develop signal-processing and machine-learning algorithms for magnetic tracking, localization and navigation.
Plan and conduct lab and field experiments (incl. robotic platform integration) manage datasets, documentationand code repositories.
Lead and contribute to publications at top-tier venues (e.g., ACM MobiCom, SenSys, UbiComp/IMWUT) and togrant deliverables and reports.
Assist the PI in mentoring PhD and undergraduate students and in day-to-day lab coordination.
Other duties as assigned.

QUALIFICATIONS

Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines with particular focus on mobile computing, pervasive sensing, or cyber-physical systems.
Minimum 3 years of relevant research experience in mobile/pervasive sensing systems (inclusive of PhD research).
Proficiency in programming software/languages such as Python and C/C++ will be positively considered/ is required.
Proven track record and professional experience in mobile and pervasive sensing systems research.
Demonstrated experience and know-how on embedded systems, sensor hardware prototyping (PCB design) anddata acquisition.
Excellent working knowledge of signal processing and machine-learning frameworks (e.g., PyTorch).
Technical skills in magnetometer-based tracking/localization and robotic platform integration.
Ability to break down complex problems and design effective solutions.
Innovating new approaches and thinking outside the box.
Applicants with research publications in mobile systems / ubiquitous computing (e.g., ACM MobiCom, SenSys,UbiComp/IMWUT) area will be advantageous.
Ability to work cooperatively as part of a small, agile academic research team is essential.
Self-motivated individual who can work independently and collaboratively with team members.

OTHER INFORMATION

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Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University

Research Scientist (1-year contract), SCIS