IC Design Research Engineer Fellow

Purpose of the Posts

Imperial College London and Nanyang Technological University (NTU) are seeking a Research Fellow or Engineer to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems. The research programme represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS).

Given the span of the IN-CYPHER programme we are seeking motivated researchers and engineers to join the IN-CYPHER programme. Unique in its scope we are developing technologies that span embedded systems and the protocols used to control and communicate sensitive patient information all the way up to interventional devices and systems for personalised healthcare.

We are particularly looking for an IC Design Researcher or Engineer with the following backgrounds:

Digital IC Design

Analog IC Design

Mixed Signal IC Design

We are seeking candidates with drive and passion to be self-motivated innovators at TRL levels from 0 through to 3. Candidates with strong publication profiles are particularly welcome but a willingness to assimilate the complexities of working with innovators of healthcare technology and patient data and to work as part of a diverse team are critical. A willingness to contribute and lead on the production of high-quality research outputs is also essential.

IN-CYPHER is comprised of four interacting themes spanning the design of intelligent medical devices through to the use of their data in informing personalised healthcare. Allied to other programmes in Singapore and the UK it represents a unique opportunity to be at the forefront of research and development into securing the vital information that flows between implantable wearable and connected medical devices including those currently in use and those yet to be developed. The four themes of IN-CYPHER are:

Theme 1 Protecting Implantable Devices

Implantable and wearable medical devices including both sensors and active devices operate under strong design constraints. Our research in this area seeks to embed secure design from first principles and at the most fundamental levels (silicon or substrate) of device design; we also recognise the need to consider the challenge of post-quantum cryptographically secure techniques in the immediate future.

Theme 2 Securing Connected Wearables & Healthcare Systems

Increasingly medical devices incorporate some form of connectivity and many of these devices are necessarily designed to be in use for between one and two decades. There is a constant risk of exploit of zero-day vulnerabilities and therefore a requirement to detect breaches in extremely intricate complex networks and data flow pipelines. We seek solutions to this challenge that embed security at hardware level.

Theme 3 Algorithms for Privacy Security and Provenance

To control active medical devices such as closed-loop drug-delivery systems information moves from sensors and devices along different communications channels; data provenance and integrity are important. Moreover the use of data-driven algorithms potentially exposes protected patient characteristics presenting specific technical challenges not only within operational use but also to product development cycles.

Theme 4 Clinical Innovation & Translation

One area of personalised medicine resides in the use of data for closed-loop drug delivery including insulin delivery. With key researchers and teams from both Lee Kong Chian School of Medicine and Imperial College Healthcare NHS Trust we seek to develop threat models that are suitable for emerging approaches to personalised medicine and particularly where data-driven techniques might offer improvements to patient outcomes.

The collaborating Departments include senior academics from theDepartment of Metabolism Digestion and Reproductionand theDepartment of Bioengineering at Imperial the largest Biomedical Engineering Department in the UK and senior researchers from theSchool of Computer Science and Engineering (SCSE)School of Electrical and Electronic Engineeringand theLee Kong Chian School of Medicineat Nanyang Technological University. Candidates will be employed by Imperial Global Singapore a research division of Imperial College London consistently ranked within the top 10 of the QS University Rankings. Candidates must be resident and based in Singapore but there will be opportunities for research visits to Imperials London-based locations.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel

Questions about the recruitment process should go to the HR at Imperial Global Singapore

Contract type: 1-year fixed term with potential for extension (subject to probation period)

Key Responsibilities

Main Duties

• Take initiatives in conducting and planning own scientific/engineering work with appropriate supervision

• Identify and develop suitable techniques for the analysis of data
• Maintain highly organised and accurate record of work
• Maintain and promote the highest standards of scientific integrity
• Actively participate in all aspects of the research programme of IN-CYPHER
• Report research activities both internally and externally
• Present findings to colleagues and at national/international conferences
• Publish in high quality refereed journals
• Collaborate with scientific clinical and translation partners to translate research ideas into real-world application and/or positive societal impact
• Attend relevant workshops as necessary
• Develop contacts and research collaborations within IGS Imperial NTU and the wider community
• Promote the positive reputation of IGS IN-CYPHER Programme
• Contribute to the writing of grant proposals to secure funding for the research program
• Participate in group research meetings and internal seminars
• Contribute to the smooth running of IN-CYPHER and other programmes under IGS
• Assist in the supervision of undergraduate interns postgraduate research students and research assistants as required
• Comply with IGS and CREATE practices and to attend courses on safety when appropriate
• Any other duties as may be deemed reasonable by scientific and operations managers of IGS IN-CYPHER and scientific investigators of the relevant Themes.

Other Duties

• Undertake any necessary training and/or development
• Undertake appropriate administration tasks
• Attend relevant meetings
• Observe and comply with all IGS policies and regulations including the key policies and procedures on:

Confidentiality

Conflict of Interest

Business Continuity

Data Protection

Equal Opportunities

Ethics related to scientific conduct and to considerations of patient data where appropriate

External Interests

Financial Regulations

Health and Safety

Use of Information Technology

Policies regarding smoking and e-cigarettes

Undertake specific safety responsibilities relevant to individual roles as set out by IGS

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore

Job descriptions cannot be exhaustive and the post holder may be required to undertake other duties which are broadly in line with the above key responsibilities.

Imperial Global Singapore is committed to equality and values diversity. IGS adheres to Imperial Values and Behaviours framework.

Person Specification

Requirements

Candidates/post holders will be expected to demonstrate the followingEssential (E) / Desirable (D)

Education

At Research Engineering level: a good undergraduate degree in computer science electronic engineering biomedical engineering applied mathematics statistics a topic allied to the biological/healthcare sciences; candidates with demonstrable experience in data science will be considered. (E)

At Research Fellow level: a PhD (or equivalent) in any field of engineering machine learning applied mathematics or a closely related discipline; (E)

Experience

Practical experience within a research/production environment and for a Research Fellow publication in relevant and refereed journals. (E)

Experience in any of the topic relevant to the IN-CYPHER Programme; by way of illustration such topics might include: (D)

• application-specific circuit design biomedical sensor/device design and interfacing

• cybersecurity engineering secure communication protocols threat- modelling lattice encryption methods analysis of network traffic

• computer science deep machine learning large-language models

• healthcare research with specific foci on data science physiological or pharmokinetic modelling diabetes or cardiovascular research

Candidates with experience of the following are particularly welcome:

• engineering in a research environment

• leveraging large-language models and generative models for engineering processes

• strongly interdisciplinary research

Experience in analysis interpretation and visualisation of scientific data (E)

Practical experience in multiple of the following tools/techniques/areas: (E)

• For analog/mixed-signal IC design: design experience using Cadence Virtuoso (schematic layout DRC/LVS/PEX) and Spectre/SpectreRF simulations (DC AC transient noise corners Monte Carlo)

• For digital IC design: design experience using Verilog/SystemVerilog with simulation and synthesis in commercial EDA tools (e.g. VCS/Xcelium Design Compiler/Genus) and basic static timing analysis. FPGA development using tools like Vivado.

• Understanding of DFT timing and power requirements.

• Participation in at least one full IC tapeout including block or top-level integration and signoff flows (DRC LVS PEX)

• PCB design using Altium/KiCad/Eagle (or equivalent) including board assembly soldering and hardware bring-up

• Hands-on lab measurement and debugging using oscilloscopes SMUs signal/function generators multimeters and power supplies

• Ability to correlate silicon or PCB measurement results with circuit-level simulations

• MATLAB or Python for modelling data analysis and test automation

Knowledge

• Knowledge of research methods and statistical procedures (E)
• Knowledge of data presentation and analysis as relevant to one of the 4 Themes (E)
• Knowledge of different methods to develop and analyse computational models (E)
• Knowledge and experience in ASIC design flow including layout (E)
• Knowledge on hardware security and biomedical circuits (D)

Skills & Abilities

• Ability to conduct a detailed review of recent literature (E)
• Ability to develop and apply new concepts (D)
• A creative approach to problem-solving (E)
• Excellent verbal communication skills and the ability to effectively collaborate (E)
• Excellent written communication skills and the ability to write for scientific publication to achieve impact (E)
• Ability to direct the work of a small research team and motivate others to produce a high standard of work (E)
• Ability to organise own work with minimal supervision (E)
• Ability to prioritise own work in response to deadlines (E)
• A skill-set aligned with one or more of the requirements of the 4 Themes of IN-CYPHER (E)

Other

• Willingness to work as part of a team and to be open-minded and cooperative (E)
• A flexible attitude towards work (E)
• Discipline and regard for confidentiality and security at all times (E)
• Willingness to undertake any necessary training for the role (E)
• Willingness to travel both within the Singapore and to the United Kingdom and other destinations as required to conduct and disseminate research (D)
• Willingness to work out of normal working hours (including weekends) if the requirements of the project demand. (D)

Imperial Global Singapore is committed to equality of opportunity and to eliminating discrimination. All employees are expected to:

1. Champion a positive approach to change and opportunity
2. Encourage inclusive participation and eliminate discrimination
3. Communicate regularly and effectively within and across teams
4. Consider the thoughts and expectations of others
5. Deliver positive outcomes
6. Develop and grow skills and expertise
7. Work in a planned and managed way

Employees are also required to comply with all IGS policies and regulations paying special attention to:

• Confidentiality
• Conflict of Interest
• Data Protection
• Equal Opportunities
• Financial Regulations
• Health and Safety
• Information Technology
• Smoking
• Private Engagements and Register of Interests
• The regulations of CREATE Tower and of Singapore

They must also undertake specific training and assume responsibility for safety relevant to specific roles as set out on the College Website Health and Safety Structure and Responsibilities page.

IGS observes the San-Francisco Declaration on Research Assessment (DORA) which means that in hiring and promotion decisions we evaluate applicants on the quality of their work not the journal impact factor where it is published.

IGS believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. IGS is committed to ensuring that in cases where this research is deemed essential animals in are treated with full respect and that any and all staff involved with this work show due consideration at every level. For further details applicants are directed to: