Research Scientist (1-year contract), SCIS

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

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

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