Total 7 job vacancies by Tum Create Limited

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.

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, heart and lung sound recognition, and integration with additional digital biomarker sources.

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.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in machine learning for audio analysis. Within HEARTwise at TUMCREATE, you will lead the development of artificial intelligence algorithms for audio classification of heart and lung sounds. Through multimodal integration with data from mobility sensing and other biomarkers, you will create a reliable tool for early decompensation detection in ambulant HF patients. You will be working in a team developing a tool for audio data collection in the clinic, running a clinical study for data collection, working with clinicians to create an annotated database, and validating your classification prototype in a pilot clinical diagnostic study.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Develop prototype algorithms for audio classification of heart and lung sounds.
• Contribute to clinical data collection, database building, multimodal data analysis,clinical prototype app development.
• Verify the technology against requirements and validate in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in deep learning signal analysis,preferably with audio data.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in electrical engineering,physics, data science, computer science, or similar, and a proven track record in machine learning and (audio) signal processing. Fresh graduates and PhD candidates will also be considered.
• Proficiency in Python/Matlab and anaconda (or similar).
• Experience in C/C++ and database interfacing and in user or clinical studies is desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

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

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

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.

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 inambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources.

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.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in signal processing, in user or patient research studies, and in creating software for participant testing. You will collaborate with clinicians and be responsible for audio data collection of heart and lung sounds in the clinic, for creating an annotated database, and for validating sound classification prototypes in a pilot clinical diagnostic study. You will work on prototype algorithms for classification of heart and lung sounds and develop approaches for integrating multimodal data from mobility sensing and other biomarkers to create a reliable tool for early decompensation detection in ambulant HF patients.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Work on classification algorithms of heart and lung sounds, on multimodal data analysis and fusion, and on verifying the technology against requirements.
• Work with clinicians on data collection from heart failure patients and build a database under consideration of data protection and ethical requirements
• Develop a tool for audio data collection in the clinic, advance it into a clinical audio classification prototype and validate it in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in signal processing, user or patient studies, and in creating software for participant testing.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in hearing research, electrical engineering, biomedical engineering, human factors engineering, (medical) physics, computer science or similar and a proven track record in (audio) signal processing and in developing and conducting research studies with users or patients. Fresh graduates, PhD candidates and Engineers in similar fields will also be considered.
• Proficiency in C/C++,Matlab/Python and anaconda (or similar).
• Experience in machine learning and database interfacing is highly desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

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

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

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!

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 research program on post-quantum Security, ‘QUASAR - QUANTUM SECURITY AND RESILIENCE FOR EMERGING TECHNOLOGIES’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Fraunhofer Singapore, Nanyang Technological University (NTU), the National University of Singapore (NUS). At TUMCREATE, we will focus on developing an open and verifiable Quantum safe RISC-V processor platform as a foundation for the QUASAR program.

As part of the QUASAR team, you will work alongside renowned scientists in Integrated Circuit (IC) design, security, and quantum technologies.

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

Job Summary

We are seeking a highly motivated and skilled researcher in Secure Hardware Design. You will research leading-edge True Random Number Generator (TRNG) and Physical Unclonable Function (PUF) solutions in the context of post quantum security applications, especially dedicated to a RISC-V processors. You will investigate and provide advanced designs and algorithms for PUF-based key-storage and authentication solutions and accelerators to provide randomness to an open-source post-quantum secure system. You will be responsible for the physical design and the integration of analog components in a team for IC design of an RISC-V processor.

This is a fixed term contract until March 2029.

Key Responsibilities

• Research and provide TRNG and PUF solutions for an open-source RISC-V processor.
• Research and perform backend design using open-source tools, especially for the design of an open-source post-quantum secure RISC-V processor.
• Collaborate with experts in design automation, IC design, and security to enable leading-edge hardware-intrinsic security solutions and IC design.
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• Proven expertise in hardware security and/or analog design and/or digital design and/or physical IC design.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

We are seeking for candidates with a

• Bachelor’s degree in electrical engineering or related fields with at least two years of experience in physical IC design or analog circuit design, or
• Master’s degree in electrical engineering or related fields with focus on hardware security, digital circuit design or analog circuit design, or
• PhD degree related to hardware security, embedded security, embedded systems or circuit design.
• Candidates expecting to fulfil one of these requirements within 2 months after application are welcome to apply.
• Publications in the domain of TRNGs or PUFs at premier conferences and in premier journals are considered a strong asset.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for scientific leadership for research fellows.
• The opportunity to pursue a PhD (awarded by the Technical University of Munich) for research associates with a master’s degree.
• Opportunities for professional development.
• Engagement with a leading international team addressing challenges in IC design for post-quantum security.

Applications

Please send your complete application, including cover letter (compulsory), CV, university transcripts to hr@tum-create.edu.sg.

Only shortlisted candidates will be contacted.

We look forward to your application!

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 research program on post-quantum Security, ‘QUASAR - QUANTUM SECURITY AND RESILIENCE FOR EMERGING TECHNOLOGIES’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Fraunhofer Singapore, Nanyang Technological University (NTU), the National University of Singapore (NUS). At TUMCREATE, we will focus on developing an open and verifiable Quantum safe RISC-V processor platform as a foundation for the QUASAR program.

As part of the QUASAR team, you will work alongside renowned scientists in Integrated Circuit (IC) design, security, and quantum technologies.

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

Job Summary

We are seeking a highly motivated and skilled Researcher in Secure Hardware Design. You will research the integration and implementation of leading-edge innovative post-quantum cryptography (PQC) algorithms in embedded systems exploiting hardware/software co-design techniques in an application context, using a RISC-V processor. You will investigate and provide highly optimized ASIC designs of post-quantum algorithms that are integrated into an open-source post-quantum secure system. You will be responsible for the logical design and the integration of digital components in a team for IC design of a secure RISC-V processor.

This is a fixed term contract until March 2029.

Key Responsibilities

• Research and design accelerators for PQC accelerators for an open-source RISC-V processor.
• Research and perform logical design using open-source tools, especially for the design of an open-source post-quantum secure RISC-V processor.
• Collaborate with experts in design automation, IC design, and security to enable leading-edge hardware security solutions and IC design.
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• Proven expertise in hardware security and/or digital design.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

We are seeking for candidates with a

• Master’s degree in electrical engineering or related fields with focus on hardware security or digital design.
• PhD degree related to hardware security, embedded security, embedded systems or circuit design.
• Candidates expecting to fulfil one of these requirements within 2 months after application are welcome to apply.
• Publications in the domain of hardware security at premier conferences and in premier journals are considered a strong asset.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for scientific leadership for research fellows.
• The opportunity to pursue a PhD (awarded by the Technical University of Munich) for research associates with a master’s degree.
• Opportunities for professional development.
• Engagement with a leading international team addressing challenges in IC design for post-quantum security.

Applications

Please send your complete application, including cover letter (compulsory), CV, university transcripts to hr@tum-create.edu.sg.

Only shortlisted candidates will be contacted.

We look forward to your application!

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 research program on post-quantum Security, ‘QUASAR - QUANTUM SECURITY AND RESILIENCE FOR EMERGING TECHNOLOGIES’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Fraunhofer Singapore, Nanyang Technological University (NTU), the National University of Singapore (NUS). At TUMCREATE, we will focus on developing an open and verifiable Quantum safe RISC-V processor platform as a foundation for the QUASAR program.

As part of the QUASAR team, you will work alongside renowned scientists in Integrated Circuit (IC) design, security, and quantum technologies.

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

Job Summary

We are seeking a highly motivated and skilled researcher in the domain of Secure Operating Systems (OS). You will be responsible for integrating GyroidOS (https://gyroidos.github.io), a leading-edge secure-operating system, into a quantum safe secure RISC-V platform. You will research how well new PQC algorithms integrate in secure OS concepts like secure boot or trusted boot and the impact of PQC signature schemes on remote attestation. You will benchmark the impact of hardware accelerators implemented in QUASAR on the performance of the overall system.

This is a fixed term contract until March 2029.

Key Responsibilities

• Integrate a secure operating system into a quantum safe secure RISC-V platform.
• Research and benchmark the impact of PQC algorithm on the performance of a secure system.
• Collaborate with experts in design automation, IC design, and security to enable leading-edge hardware security solutions and IC design.
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• Proven expertise in the domain of operating systems, secure software design, or secure embedded systems.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

We are seeking for candidates with a

• Master’s degree in computer science, electrical engineering or related fields with focus on security, embedded systems, or operating systems.
• PhD degree related to embedded security or operating systems.
• Candidates expecting to fulfil one of these requirements within 2 months after application are welcome to apply.
• Publications in the domain of embedded software security at premier conferences and in premier journals are considered a strong asset.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for scientific leadership for research fellows.
• The opportunity to pursue a PhD (awarded by the Technical University of Munich) for research associates with a master’s degree.
• Opportunities for professional development.
• Engagement with a leading international team addressing challenges in IC design for post-quantum security.

Applications

Please send your complete application, including cover letter (compulsory), CV, university transcripts to hr@tum-create.edu.sg.

Only shortlisted candidates will be contacted.

We look forward to your application!

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 program, ‘Proteins4Singapore,’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in plant and food technology, food chemistry, materials science, and business sustainability. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

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

Job Summary

We are seeking a highly motivated and skilled Research Fellow supervised by Assistant Professor Leonard Ng Wei Tat from Nanyang Technological University. As part of the Proteins4Singapore project, the Research Fellow will contribute to the research topic of “High-Throughput Optimisation of Sustainable Protein Extraction”, which aims to employ high-throughput experimentation and self-driving laboratory (SDL) methodologies to systematically discover and optimise protein extraction conditions from soybeans and microalgae. This position plays a critical role in advancing sustainable protein solutions for urban environments through interdisciplinary collaboration, drawing expertise from materials science, chemical engineering, food science, and artificial intelligence. This is a fixed term contract until March 2027.

Key Responsibilities

• Design and execute high-throughput experimental campaigns to optimise protein extraction from soybeans and microalgae, systematically varying process parameters including solvent composition, pH, temperature, and mechanical treatment conditions.
• Develop and integrate automated or semi-automated workflows for sample preparation, extraction, and analytical characterisation, leveraging laboratory automation platforms such as liquid-handling robots and automated plate-reader systems.
• Apply self-driving laboratory (SDL) methodologies — including Bayesian optimisation, active learning, and closed-loop experimental design — to accelerate the identification of optimal extraction protocols.
• Characterise extracted protein fractions with respect to yield, purity, and functional properties (e.g., solubility, emulsification, foaming behaviour).
• Build and maintain experimental databases and data pipelines to support machine learning model training and data-driven decision-making within the SDL framework.
• Collaborate with cross-disciplinary teams to integrate experimental findings with computational models, contributing to the project’s long-term goals of advancing sustainable food technologies.
• Engage in collaborative research, data analysis, and interpretation, while contributing to the writing of research papers, reports, and presentations for dissemination at conferences and in peer-reviewed journals.
• Participate in lab meetings, seminars, and collaborative research discussions to align with project goals and objectives.
• Supervise junior group members including undergraduate and doctoral students.

Key Competencies

• Demonstrated experience in high-throughput experimentation, including design of experiments (DoE), combinatorial screening, or parallel synthesis and processing workflows.
• Experience with self-driving laboratory platforms, autonomous experimentation, or closed-loop optimisation systems is highly desirable.
• Solid background in protein science, food science, biochemistry, or chemical engineering, with hands-on experience in protein extraction and characterisation methodologies.
• Proficiency in data analysis and scientific programming (Python preferred), with familiarity with machine learning tools and frameworks relevant to experimental optimisation.
• Familiarity with laboratory automation hardware (e.g., liquid-handling robots, automated plate readers, robotic workstations) is a strong advantage.
• Strong analytical skills, with experience in using data science and AI tools for experimental data analysis and interpretation.
• Excellent communication skills, both written and verbal, in particular communication of complex scientific concepts to both specialists and non-specialists in a multidisciplinary research environment.
• Proven ability to conduct independent research and collaborate in multidisciplinary teams including working effectively within deadlines.
• Self-motivated and adaptable, with strong problem-solving skills and the ability to thrive in a dynamic, fast-paced research environment.
  

Qualification Requirements

• Ph.D. in Chemical Engineering, Materials Science, Food Science, Biochemistry, Chemistry, Bioengineering, or cognate discipline from a reputable university.
• At least 1 year of experience in high-throughput experimentation, self-driving laboratories, or AI for Science.
• Excellent written and verbal communication skills in English.

What we offer

• A collaborative and inclusive world class research environment.
• Access to state-of-the-art laboratory facilities and equipment.
• Attractive and competitive remuneration commensurate with qualifications and experience.
• Opportunities for professional development and career growth.
• Engagement with a leading research team committed to advancing an emerging topic of global relevance.
  

Applications

Please send your complete application, including cover letter, CV, university transcripts, and degree certificates, to hr@tum-create.edu.sg.

Only shortlisted candidates will be contacted.

We are looking forward to your application!