Editorial summary

The company is seeking a Research Associate or PhD candidate to work on wearable mobility sensing and digital biomarkers for heart failure monitoring as part of the HEARTwise project at TUMCREATE, a multidisciplinary research platform of the Technical University of Munich at the Singapore Campus for Research Excellence and Technological Enterprise. The role involves collaborative research in wearable technologies, digital health, and cardiovascular monitoring, requiring a strong background in biomedical engineering, data analysis, or related fields. The position offers a monthly salary of 6,300 SGD. This opportunity is ideal for individuals interested in advancing innovative healthcare solutions through interdisciplinary research.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 14927 first appeared in Job-Q.com on 17 Jun 2026]

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies.

Our public-private research partnership program, HEARTwise - Heart Failure Assessment with Reliable Technology using Wearables and In Vitro Diagnostics - is funded by Singapore’s National Research Foundation (NRF) and represents a collaborative effort between the Technical University of Munich (TUM), the National University Health System (NUHS), the National Heart Centre Singapore (NHCS), and the National University of Singapore (NUS).

As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology,telemedicine, biomedical engineering, acoustics, data privacy, and industry.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Background & Scientific Context

Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission -presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention.

The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS),engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection in ambulant HF patients - combining wearable mobility sensing, acoustic environment recognition, and integration with additional digital biomarker sources.

This is a fixed-term contract until March 2029.

Supervision & Academic Environment

The position is jointly supervised by principal investigators at TUM Munich and TUMCREATE Singapore, with close integration into the CADENCE clinical network. The candidate will work within a growing team of researchers across engineering and clinical disciplines in Singapore, with strong links to the Munich ecosystem. The position combines the rigor of TUM's doctoral program with direct access to clinical partners and the unique research infrastructure of TUMCREATE.

The Research Position

This PhD is embedded in the HEARTwise engineering team at TUMCREATE Singapore and is centered on the actibelt®wearable technology platform - a body-worn 3D accelerometer system with a mature clinical track record, an established algorithm library, and over 64 years of recorded patient data. The core scientific contribution expected is the development, validation, and clinical deployment of actibelt-based mobility analysis in HF patients.

The candidate will engage with open methodological questions - including how to extract richer clinical information from inertial data, how to improve reference data acquisition for algorithm development, and what mobility-based signatures may carry predictive value for HF decompensation - as well as with the translational challenge of deploying these methods in a real clinical setting.

Central research questions include:

• Which mobility parameters derivable frombelt-worn inertial sensing are most informative for detecting early functionaldeterioration in ambulant HF patients?
• What methodological advances in reference data acquisition, sensor placement, or algorithm generalization can improve the quality and scalability of wearable-based gait analysis?
• How can a prototype clinical decision support tool effectively integrate actibelt-derived mobility markers with additional digital inputs to inform clinical management?

Your Responsibilities

Core project deliverables:

• Validate and adapt actibelt® technologyfor HF patient monitoring in Singapore, extracting and evaluating mobilityparameters (real-world walking speed, stair-climbing ability, gait qualityindices)
• Contribute to the design and executionof a clinical pilot study (35 HF patients + reference cohort) at NHCS/NUHCS
• Contribute to a prototype clinicaldecision support system integrating actibelt-derived parameters with additionaldigital inputs (e.g., digital stethoscope, digital scale)
• Publish findings in peer-reviewedjournals and present at international conferences
• Contribute to the CACOM lecture series(Clinical Applications of Computational Medicine, TUM)

Research and methodological development:

• Design and pursue original researchquestions within the project's scientific scope
• Develop and evaluate novel algorithmicapproaches for inertial signal processing, activity classification, or clinicalendpoint extraction
• Contribute to the broader actibeltalgorithm development pipeline, including work on reference data collectionmethodology and algorithm validation frameworks
• Engage across the HEARTwise consortium and bring your own scientific perspective to collaborative discussions

Required Qualifications:

• Master's degree (or equivalent) in Biomedical Engineering, Electrical Engineering, Computer Science, Data Science,Health Informatics, or a closely related field
• Strong interest in wearable technology,digital health, and translational research
• Solid programming skills (Python, R,MATLAB, Julia, or similar)
• Experience in signal processing,time-series analysis, or machine learning

Highly valued:

• Background in algorithm development forinertial, acoustic, or physiological sensor data
• Experience with clinical datasets orfamiliarity with clinical research environments
• Genuine curiosity about openmethodological questions and the ability to pursue them independently
• Ability to thrive in interdisciplinary teams spanning engineering, medicine, and data science
• Excellent communication skills in English

What we offer

• Fully funded PhD position within awell-resourced international collaboration
• Joint supervision by leading experts atTUM Munich and TUMCREATE Singapore
• Active engagement with a growinginterdisciplinary research team on-site in Singapore, with regular exchangeswith Munich
• Access to the TUM andCADENCE/CADENCE-Singapore networks (NUHS, NHCS, NTU, and beyond)
• Unique real-world clinical datasets anddeep access to the actibelt® technology platform and data ecosystem
• Genuine freedom to shape researchquestions within a meaningful applied and clinical context
• Support for conference participation,visits to Munich, and scientific publication

Applications

Please submit the following essential documents to hr@tum-create.edu.sg:

• CV
• Motivation letter (describing your research interests and why this position appeals to you)
• Academic transcripts
• Contact details of two referees

Only shortlisted candidates will be contacted.

We look forward to your application!

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