Mobile Sensing & Robotics Research Scientist

Visa Hunt; Singapore; On-site; SGD 67,000 - 112,000; Full time

Job summary

Singapore Management University invites applications for a research position in the School of Computing and Information Systems (SCIS). The project focuses on magnetic sensing hardware and embedded data-acquisition pipelines for mobile tracking and navigation.

The ideal candidate holds a PhD in CS/IT/IS with 3+ years in mobile sensing, proficient in Python and C/C++, and experienced with PyTorch and embedded system prototyping. Collaboration and publications are expected.

Qualifications

• PhD required in CS/IT/IS or closely related field with focus on mobile computing, pervasive sensing, or CPS.
• Minimum 3 years of relevant research experience in mobile/pervasive sensing systems (including PhD research).
• Proficiency in Python and C/C++ is required; experience with PyTorch beneficial.
• Strong track record in mobile and pervasive sensing systems research; embedded systems and sensor hardware prototyping.

Responsibilities

• Design, prototype and maintain magnetic sensing hardware (magnetometer arrays, custom PCBs) and embedded data-acquisition pipelines.
• Develop signal-processing and machine-learning algorithms for magnetic tracking, localization and navigation.
• Plan and conduct lab and field experiments; manage datasets, documentation and code repositories.
• Lead and contribute to publications at top-tier venues and to grant deliverables and reports.
• Assist the PI in mentoring PhD and undergraduate students and in day-to-day lab coordination.
• Other duties as assigned.

Skills

Python

C/C++

PyTorch

Signal processing

Machine learning

Embedded systems

PCB design

Education

PhD in Computer Science, Information Technology, Information Systems or related (mobile computing/pervasive sensing/CPS)

Tools

PCB design

Data acquisition systems

Job description

Singapore Management University invites applications for a research position in the School of Computing and Information Systems (SCIS). The project focuses on magnetic sensing hardware and embedded data-acquisition pipelines for mobile tracking and navigation.

The ideal candidate holds a PhD in CS/IT/IS with 3+ years in mobile sensing, proficient in Python and C/C++, and experienced with PyTorch and embedded system prototyping. Collaboration and publications are expected.