5 jobs in 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 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 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

For this position 'Postdoc /Research Engineer / PhD candidate (Acoustic Heart Failure Monitoring: Multimodal and Clinical Integration)', we are seeking a highly motivated and skilled researcher with proven expertise in signal processing, inuser 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 :

• 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 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 for more information about TUMCREATE.

Job Purpose/Objective of the Position:

We are seeking a Research Fellow (PhD holder) / Research Associate (PhD student; Master's degree holder) / Research Engineer to join the QUASAR project, focusing on secure FPGA-based system development and verification using RISC-V platforms.

This role emphasizes RTL design, verification, and system bring-up, and is well-suited for fresh graduates interested in hardware verification, system integration, and open-source hardware platforms.

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

Job Responsibilities:

FPGA System Bring-up& Validation

• Support the deployment and bring-up of CVA6-based SoC systems on FPGA platforms (Genesys 2)
• Debug system-level issues,including boot flow(bootloader, DRAM initialization, peripheral access) and interface connectivity (UART, SPI,Ethernet, JTAG)
• Validate system functionality through bare-metal programs and OS-level workloads (e.g., Linux, RTOS)

Verification & Debug

• Develop and maintain verification workflows for FPGA-based RISC-V systems: Simulation (e.g., Verilator-based flows) and FPGA-based validation
• Perform functional verification and debugging of RISC-Vcore integration (CVA6), Memory subsystem, interconnect, and peripheral interfaces.
• Analyze and debug issues across abstraction layers: RTL bugs, Integration mismatches, and timing/synthesis-related issues.

Hardware Security Verification and Analysis

• Research, develop and design-time verification methodologies for hardware security features in RISC-V systems
• Evaluate and improve side-channel resistance (e.g., timing, power, and micro architectural leakage)in the context of a post-quantum secure RISC-V processor platform

Tool Flow & Automation Support

• Work with existing FPGA flows (e.g., Vivado-based flows used in CVA6 FPGA implementation)
• Develop scripts (Python/TCL) for building automation, regression testing, and results analysis.
• Support integration with open-source simulation and verification tools

Job Requirements/Competencies:

• Degree in Electrical Engineering, Computer Engineering, Computer Science, or related fields
• Strong foundation in digital design (RTL, timing, pipelining)
• Hands-on experience with FPGA design flows
• Familiarity with RISC-V architecture or SoC design
• Programming skills in C/C++ and/or Python
• Exposure to hardware verification methodologies (simulation, testbench design)
• Familiarity with: Linux-based embedded systems and Debugtools (e.g., JTAG, GDB)
• Interest in system-level debugging and cross-layer analysis

What TUM CREATE offers you:

• Hands-on experience with a state-of-the-art open-source RISC-V coreon FPGA
• A well-established FPGA platform with a clearly defined research scope
• Close supervision within an international, interdisciplinary research project
• A collaborative and inclusive world-class research environment
• Competitive salary that is 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 the following compulsory documents

• cover letter
• CV
• university transcripts

to .

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 for more information about TUMCREATE.

Job Purpose/Objective of the Position:

We are seeking a highly motivated Research Fellow (PhD holder) / Researcher Engineer focusing on the integration and efficient implementation of post-quantum cryptographic (PQC) algorithms in a RISC-V-based processor platform.

The position emphasizes hardware/software co-design, accelerator design, and ASIC-oriented implementation, targeting an open-source, verifiable post-quantum secure system.

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

Job Responsibilities:

PQC Accelerator Design & Integration

• Design and implement hardware accelerators for post-quantum cryptographic algorithms (e.g., lattice-based,hash-based schemes)
• Perform microarchitectural exploration for: throughput/latency optimization and area and power efficiency trade-offs
• Integrate accelerators into a RISC-V-based SoC (e.g., tightly coupled or via interconnect)

Hardware/Software Co-Design for Secure Systems

• Co-design PQC implementations across: hardware accelerators and Firmware/runtime libraries
• Optimize interaction between: processor pipeline, memory hierarchy, and cryptographic modules
• Support system-level execution(bare-metal / OS-level) for end-to-end validation

Hardware Security &Side-Channel-Aware Design

• Evaluate and enhance side-channel resistance of PQC hardware implementations
• Analyze vulnerabilities such as power/timing leakage and microarchitectural side channels
• Study security-performance trade-offs in hardware implementations

System Integration & Prototype Validation

• Integrate designed components into a full RISC-V system prototype (FPGA or simulation-based)
• Validate functionality using simulation and FPGA-based prototyping (when applicable)
• Collaborate with verification and platform teams to ensure correctness across abstraction layers and smooth transition toward manufacturable ASIC designs

Job Requirements/Competencies:

• Degree in Electrical Engineering,Computer Engineering, Computer Science, or related fields
• Strong foundation in digital design/hardware security/Computer architecture
• Familiarity with RISC-V architecture or SoC design
• Programming skills in C/C++ and/or Python
• Experience with cryptographic hardware design (especially PQC is a plus)
• Knowledge of side-channel attacks and countermeasures
• Familiarity with open-source EDA tools (Yosys, OpenROAD,etc.)

What TUM CREATE offers you:

• Hands-on experience with a state-of-the-art open-source RISC-V core on FPGA
• A well-established FPGA platform with a clearly defined research scope
• Close supervision within an international, interdisciplinary research project
• A collaborative and inclusive world-class research environment
• Competitive salary that is 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 the following compulsory documents in your

• Cover letter
• CV
• University transcripts

to

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 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

• Master's or PhD degree in 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.
• 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 :

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!