137 Postdoctoral Position jobs in Malaysia

Project Overview

The Wearable Imaging for Transforming Elderly Care (WITEC) interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored for aging populations. By combining expertise in wearable transducers, biomedical imaging, materials science, data analytics, and healthcare innovation, WITEC aims to design solutions that will improve quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support.

WITEC brings together interdisciplinary researchers from MIT and Singaporean institutions, including hospitals and research agencies. Through deep collaboration with local partners, including clinicians, industry, and policymakers, WITEC will ensure that its technological advancements are innovative, clinically validated, and suitable for industrial scale up.

Key Responsibilities

The WITEC IRG at SMART is seeking a qualified candidate for a Postdoctoral Associate position supervised by professors from MIT and Singapore. This position will entail the following technical responsibilities:

1. Design, synthesis, and characterization soft materials, such as hydrogels or elastomers, to serve as biocompatible skin adhesive couplant for wearable ultrasound transducers.

2. Develop and validate constitutive and multiphysics models to predict the mechanical, rheological, and acoustic behavior of soft materials under dynamic conditions relevant to long-term wear.

3. Establish experimental protocols for mechanical, acoustic, and biosafety testing, including ultrasonic impedance, adhesion performance, tissue compatibility, fatigue behavior, and long-term stability on skin.

4. Collaborate closely with clinicians and engineers to integrate soft materials into functional wearable ultrasound systems and participate in protocol development and deployment for pilot human studies.

5. Perform other duties as assigned.

Requirements

1. Ph.D. in Mechanical Engineering, Materials Science, Polymer Science, Biomedical Engineering, or a related discipline.

2. Strong expertise in hydrogels, elastomers, or other soft polymeric systems, including synthesis, formulation, and functional characterization.

3. Solid foundation in solid mechanics, soft material mechanics, and fracture or fatigue modelling; experience with FEM or multiphysics simulations is highly desirable.

4. Demonstrated experience in experimental mechanics and material characterization, including techniques such as rheometry, tensile testing, or acoustic impedance characterization.

5. Prior experience in biocompatible or wearable materials is advantageous. Familiarity with ultrasound imaging or acoustic coupling is a plus.

6. The candidate needs to work well in a team with good communication skills.

To apply, please visit our website at:

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

Project Overview

We are seeking a highly motivated and creative Postdoctoral Associate to contribute to cutting-edge research and development in the field of robotics and soft robotics. We pursue the application of robots in service tasks (e.g., cleaning) and explore the use of soft robotics technologies in this field, for improving interactions with the environment and with humans. We seek for expertise in the design of soft robots and in robot control.

Responsibilities

• Perform fundamental and applied research on soft robotics, with particular emphasis on design, fabrication, and control of soft robotic arms for service tasks, including experimental research with robot prototyping and testing.
• Develop novel designs, control strategies, algorithms, sensory feedback systems to enable effective and adaptive manipulation.
• Collaborate with multidisciplinary teams to integrate mechanical, electrical, and software components into functional robotic systems.
• Conduct experimental validation and performance evaluation of developed soft robotic manipulators.
• Participate in the applied projects with lab’s industrial partners.
• Present research results at top international workshops and conferences, exhibits as well as internal project meetings.
• Write and co-author articles for publication in tier-1 interdisciplinary journals and top conferences.

Requirements

The successful candidates must hold a Ph.D. in computer science, mechanical engineering, robotics or a related field, and have experience in interactive systems and/or soft robotics. Ability of working in a multidisciplinary team environment, problem solving skills and high creativity are very welcome.

To apply, please visit our website at:

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

Project Overview

The Wearable Imaging for Transforming Elderly Care (WITEC) interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored for aging populations. By combining expertise in wearable transducers, biomedical imaging, materials science, data analytics, and healthcare innovation, WITEC aims to design solutions that will improve quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support.

WITEC brings together interdisciplinary researchers from MIT and Singaporean institutions, including hospitals and research agencies. Through deep collaboration with local partners, including academia, clinicians, industry, and policymakers, WITEC will ensure that its technological advancements are innovative, clinically validated, and suitable for industrial scale up.

Key Responsibilities

The WITEC IRG at SMART is seeking a qualified candidate for a Postdoctoral Associate position supervised by Prof. Xuanhe Zhao. This position will entail the following technical responsibilities:

1, Develop advanced AI solutions for analyzing time-series 2D/3D ultrasound data. Perform image segmentation, anomaly detection, and extraction of biomarkers for disease classification. Design deep learning models for multimodal image registration and alignment of ultrasound with ground-truth MRI data.

2, Apply foundation models to analyze medical imaging data. Develop probabilistic deep learning models to capture temporal patterns in chronic disease progression and treatment response. Ensure model fairness and robustness for reliable clinical use.

3, Develop AI-assisted robotic guidance tools for precise and automated ultrasound acquisition. Interface AI algorithms with robotic systems to adaptively control probe positioning and ultrasound imaging parameters.

4, Design and test intuitive human-machine interfaces to support non-specialist users in operating wearable ultrasound devices. Conduct quantitative and qualitative evaluations of AI models in simulated and real-world clinical scenarios. Integrate imaging, diagnostic reporting, and clinical data into a cohesive platform for intelligent diagnosis decision support. Enable clinicians to make informed decisions in cardiovascular care, improving patient outcomes, care quality, and cost-efficiency.

5. Perform other duties as assigned.

Requirements

1. Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis.

2. Demonstrated research experience in 2D/3D medical imaging using deep learning methods. Proved by strong track record of publications in top-tier AI and medical imaging conferences/journals.

3. Solid mathematical background, excellent programming skills, and proficiency in machine learning frameworks such as Python, C/C++, TensorFlow, and PyTorch.

4. Extensive experience in applying advanced machine learning and deep learning techniques to medical image analysis tasks—including, but not limited to, image segmentation, classification, registration, and anomaly detection.

5. Experience in software system engineering and architecture design for AI-based medical applications. Ability to develop immersive, user-friendly interfaces tailored for non-professional healthcare users.

6. The candidate needs to work well in a team with good communication skill.

To apply, please visit our website at:

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

Project Overview

The Wearable Imaging for Transforming Elderly Care (WITEC)

interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored for aging populations. By combining expertise in wearable transducers, biomedical imaging, materials science, data analytics, and healthcare innovation, WITEC aims to design solutions that will improve quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support. WITEC brings together interdisciplinary researchers from MIT and Singaporean institutions, including hospitals and research agencies. Through deep collaboration with local partners, including academia, clinicians, industry, and policymakers, WITEC will ensure that its technological advancements are innovative, clinically validated, and suitable for industrial scale up. Key Responsibilities

The WITEC IRG at SMART is seeking a qualified candidate for a Postdoctoral Associate position supervised by Prof. Xuanhe Zhao. This position will entail the following technical responsibilities: 1, Develop advanced AI solutions for analyzing time-series 2D/3D ultrasound data. Perform image segmentation, anomaly detection, and extraction of biomarkers for disease classification. Design deep learning models for multimodal image registration and alignment of ultrasound with ground-truth MRI data. 2, Apply foundation models to analyze medical imaging data. Develop probabilistic deep learning models to capture temporal patterns in chronic disease progression and treatment response. Ensure model fairness and robustness for reliable clinical use. 3, Develop AI-assisted robotic guidance tools for precise and automated ultrasound acquisition. Interface AI algorithms with robotic systems to adaptively control probe positioning and ultrasound imaging parameters. 4, Design and test intuitive human-machine interfaces to support non-specialist users in operating wearable ultrasound devices. Conduct quantitative and qualitative evaluations of AI models in simulated and real-world clinical scenarios. Integrate imaging, diagnostic reporting, and clinical data into a cohesive platform for intelligent diagnosis decision support. Enable clinicians to make informed decisions in cardiovascular care, improving patient outcomes, care quality, and cost-efficiency. 5. Perform other duties as assigned. Requirements

1. Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis. 2. Demonstrated research experience in 2D/3D medical imaging using deep learning methods. Proved by strong track record of publications in top-tier AI and medical imaging conferences/journals. 3. Solid mathematical background, excellent programming skills, and proficiency in machine learning frameworks such as Python, C/C++, TensorFlow, and PyTorch. 4. Extensive experience in applying advanced machine learning and deep learning techniques to medical image analysis tasks—including, but not limited to, image segmentation, classification, registration, and anomaly detection. 5. Experience in software system engineering and architecture design for AI-based medical applications. Ability to develop immersive, user-friendly interfaces tailored for non-professional healthcare users. 6. The candidate needs to work well in a team with good communication skill. To apply, please visit our website at: Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

Project Overview

The Wearable Imaging for Transforming Elderly Care (WITEC)

interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored for aging populations. By combining expertise in wearable transducers, biomedical imaging, materials science, data analytics, and healthcare innovation, WITEC aims to design solutions that will improve quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support. WITEC brings together interdisciplinary researchers from MIT and Singaporean institutions, including hospitals and research agencies. Through deep collaboration with local partners, including clinicians, industry, and policymakers, WITEC will ensure that its technological advancements are innovative, clinically validated, and suitable for industrial scale up. Key Responsibilities

The WITEC IRG at SMART is seeking a qualified candidate for a Postdoctoral Associate position supervised by professors from MIT and Singapore. This position will entail the following technical responsibilities: 1. Design, synthesis, and characterization soft materials, such as hydrogels or elastomers, to serve as biocompatible skin adhesive couplant for wearable ultrasound transducers. 2. Develop and validate constitutive and multiphysics models to predict the mechanical, rheological, and acoustic behavior of soft materials under dynamic conditions relevant to long-term wear. 3. Establish experimental protocols for mechanical, acoustic, and biosafety testing, including ultrasonic impedance, adhesion performance, tissue compatibility, fatigue behavior, and long-term stability on skin. 4. Collaborate closely with clinicians and engineers to integrate soft materials into functional wearable ultrasound systems and participate in protocol development and deployment for pilot human studies. 5. Perform other duties as assigned. Requirements

1. Ph.D. in Mechanical Engineering, Materials Science, Polymer Science, Biomedical Engineering, or a related discipline. 2. Strong expertise in hydrogels, elastomers, or other soft polymeric systems, including synthesis, formulation, and functional characterization. 3. Solid foundation in solid mechanics, soft material mechanics, and fracture or fatigue modelling; experience with FEM or multiphysics simulations is highly desirable. 4. Demonstrated experience in experimental mechanics and material characterization, including techniques such as rheometry, tensile testing, or acoustic impedance characterization. 5. Prior experience in biocompatible or wearable materials is advantageous. Familiarity with ultrasound imaging or acoustic coupling is a plus. 6. The candidate needs to work well in a team with good communication skills. To apply, please visit our website at: Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

Project Overview

We are seeking a highly motivated and creative Postdoctoral Associate to contribute to cutting-edge research and development in the field of robotics and soft robotics. We pursue the application of robots in service tasks (e.g., cleaning) and explore the use of soft robotics technologies in this field, for improving interactions with the environment and with humans. We seek for expertise in the design of soft robots and in robot control. Responsibilities

Perform fundamental and applied research on soft robotics, with particular emphasis on design, fabrication, and control of soft robotic arms for service tasks, including experimental research with robot prototyping and testing. Develop novel designs, control strategies, algorithms, sensory feedback systems to enable effective and adaptive manipulation. Collaborate with multidisciplinary teams to integrate mechanical, electrical, and software components into functional robotic systems. Conduct experimental validation and performance evaluation of developed soft robotic manipulators. Participate in the applied projects with lab’s industrial partners. Present research results at top international workshops and conferences, exhibits as well as internal project meetings. Write and co-author articles for publication in tier-1 interdisciplinary journals and top conferences. Requirements

The successful candidates must hold a Ph.D. in computer science, mechanical engineering, robotics or a related field, and have experience in interactive systems and/or soft robotics. Ability of working in a multidisciplinary team environment, problem solving skills and high creativity are very welcome. To apply, please visit our website at: Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

Project Overview

The Wearable Imaging for Transforming Elderly Care (WITEC)

interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored for aging populations. By combining expertise in wearable transducers, biomedical imaging, materials science, data analytics, and healthcare innovation, WITEC aims to design solutions that will improve quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support. WITEC brings together interdisciplinary researchers from MIT and Singaporean institutions, including hospitals and research agencies. Through deep collaboration with local partners, including clinicians, industry, and policymakers, WITEC will ensure that its technological advancements are innovative, clinically validated, and suitable for industrial scale up. Job Description

The WITEC IRG at SMART is seeking a qualified candidate for a Postdoctoral Associate position supervised by professors from MIT and Singapore. This position will entail the following technical responsibilities: 1. Lead the fabrication (via two-photon lithography) and development of acoustic metamaterials as components in wearable ultrasound systems for long-term cardiovascular monitoring. Investigate effects of microstructure on the resulting properties. 2. Develop computational mechanics workflows to predict acoustic properties and guide the design of metamaterials. 3. Develop experimental methods to validate the responses of the acoustic metamaterials, using a variety of ultrasonic excitation modalities. 4. Work closely with clinical partners to support protocol development, data acquisition, and analysis for pilot studies and clinical validation. 5. Perform other duties as assigned. Requirements

1. Ph.D. in Mechanical Engineering, Aerospace Engineering, Materials Science, or a related discipline. 2. Solid background in acoustics, metamaterials, and solid mechanics. 3. Proficiency in programming languages and environments such as Python, MATLAB, or C++. 4. Hands-on experience with high-resolution additive manufacturing technologies, particularly

two-photon lithography

or similar platforms is preferred. 5. Experience in

mechanics experimentation . Experience with ultrasound/acoustics techniques

is preferred. 6. Prior experience in mechanics

simulations, experience with Abaqus, COMSOL is preferred . 7. The candidate needs to work well in a team with good communication skills. To apply, please visit our website at: Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

About TUMCREATE

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

Our large-scale Food Science ‘Proteins4Singapore’ program is funded by Singapore’s National Research Foundation (NRF). The Technical University Munich (TUM) and Nanyang Technological University (NTU) join forces with the Singapore Institute of Technology (SIT) and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI) to research plant-based proteins.

Please visit for more information about TUMCREATE.

Job Title/Position:

Postdoctoral Research Fellow (Process modelling, Technoeconomic assessment and Life cycle analysis)

Job Purpose/Objective of the Position:

You will be working in the Proteins4Singapore (P4S) programme, a comprehensive research programme with renowned scientists of plant and food technology, food chemistry, and business sustainability. Interdisciplinary teams will generate state-of-the-art methods and techniques to ensure a sustainable protein supply in highly urbanized environments.

The focus of research is on the evaluation of alternative protein production processes. We will establish total value assessments of protein supply chains for technologies developed from this project as well as for the major existing animal and plant-based sources of protein. The key methodologies used in this project are process modelling, techno-economic analysis (TEA), life cycle assessment/analysis (LCA), and supply chain analysis. The project will be at the interface of food sciences, process modelling, TEA, LCA, and supply chain optimization.

This is a fixed term contract until March 2027.

Job Responsibilities:

• Data collection for performing process modelling on existing and developed protein production, extraction and processing technologies in this project.
• Performing technoeconomic and total value assessment of the processes developed in this project.
• Evaluate different modes of protein-rich biomass (soy and microalgae) and understand the entire supply chain from food security perspective.
• Performing LCA for evaluating the environmental footprint of different processes/process configurations and comparing them.

Job Requirements/Competencies:

• Good understanding of process modelling, LCA and TEA.
• At least 1 year of experience in food processing related process will be highly valued.
• Experience in the software tools.
• Process modelling and TEA: UniSim/SuperPro Designer/Aspen plus; LCA: Gabi (LCA for Experts)/SimaPro
• Experience on related standards such as ISO 14040, ISO 14044, ISO 14067, GHG Protocol.
• Strong interdisciplinary skills at the intersection of food production, sustainability, life cycle assessments, product supply chains, etc.
• Self-motivated and quick learner who is passionate about latest trends and technologies in food production and Agri-Tech.
• Passionate about domain of sustainability and evaluating product and processes to understand environmental and social impact.
• Good team player, able to work with deadlines and dynamic requirements.

Qualification Requirements:

• PhD in Engineering/Chemical Engineering/Environmental Engineering/ Industrial Engineering with strong skills in mathematical modelling, process modelling, Technoeconomic assessment and life cycle analysis from a reputable university.
• Experience or interest in using process modelling tools and LCA tools in interdisciplinary work in the sustainability domain.
• Strong skills in English speaking and writing, problem-solving and communication.

What TUM CREATE offers you:

• Competitive salary that commensurate with experience
• Medical insurance
• Good amount of leave/vacation days
• Vibrant, modern and positive working environment in Singapore
• Campus-sited office location with a host of facilities
• In-building perks including gym, game room and coffee room

Applications:

Please send your application including cover letter (compulsory) and CV to .

We look forward to your application.

#J-18808-Ljbffr

About TUMCREATE TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies. Our large-scale Food Science ‘Proteins4Singapore’ program is funded by Singapore’s National Research Foundation (NRF). The Technical University Munich (TUM) and Nanyang Technological University (NTU) join forces with the Singapore Institute of Technology (SIT) and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI) to research plant-based proteins. Please visit

more information about TUMCREATE. Job Title/Position: Postdoctoral Research Fellow (Process modelling, Technoeconomic assessment and Life cycle analysis) Job Purpose/Objective of the Position: You will be working in the Proteins4Singapore (P4S) programme, a comprehensive research programme with renowned scientists of plant and food technology, food chemistry, and business sustainability. Interdisciplinary teams will generate state-of-the-art methods and techniques to ensure a sustainable protein supply in highly urbanized environments. The focus of research is on the evaluation of alternative protein production processes. We will establish total value assessments of protein supply chains for technologies developed from this project as well as for the major existing animal and plant-based sources of protein. The key methodologies used in this project are process modelling, techno-economic analysis (TEA), life cycle assessment/analysis (LCA), and supply chain analysis. The project will be at the interface of food sciences, process modelling, TEA, LCA, and supply chain optimization. This is a fixed term contract until March 2027. Job Responsibilities: Data collection for performing process modelling on existing and developed protein production, extraction and processing technologies in this project. Performing technoeconomic and total value assessment of the processes developed in this project. Evaluate different modes of protein-rich biomass (soy and microalgae) and understand the entire supply chain from food security perspective. Performing LCA for evaluating the environmental footprint of different processes/process configurations and comparing them. Job Requirements/Competencies: Good understanding of process modelling, LCA and TEA. At least 1 year of experience in food processing related process will be highly valued. Experience in the software tools. Process modelling and TEA: UniSim/SuperPro Designer/Aspen plus; LCA: Gabi (LCA for Experts)/SimaPro Experience on related standards such as ISO 14040, ISO 14044, ISO 14067, GHG Protocol. Strong interdisciplinary skills at the intersection of food production, sustainability, life cycle assessments, product supply chains, etc. Self-motivated and quick learner who is passionate about latest trends and technologies in food production and Agri-Tech. Passionate about domain of sustainability and evaluating product and processes to understand environmental and social impact. Good team player, able to work with deadlines and dynamic requirements. Qualification Requirements: PhD in Engineering/Chemical Engineering/Environmental Engineering/ Industrial Engineering with strong skills in mathematical modelling, process modelling, Technoeconomic assessment and life cycle analysis from a reputable university. Experience or interest in using process modelling tools and LCA tools in interdisciplinary work in the sustainability domain. Strong skills in English speaking and writing, problem-solving and communication. What TUM CREATE offers you: Competitive salary that commensurate with experience Medical insurance Good amount of leave/vacation days Vibrant, modern and positive working environment in Singapore Campus-sited office location with a host of facilities In-building perks including gym, game room and coffee room Applications: Please send your application including cover letter (compulsory) and CV to

. We look forward to your application.

#J-18808-Ljbffr