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#LI-JN2
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
