The Climate Transformation Programme – Cross Cutting Theme 1: Sustainable Societies is seeking to hire a Research Fellow at the School of Art, Design and Media for a one-year duration. The Research Fellow will work in an interdisciplinary and collaborative research environment, aiming to cultivate a critical multiplicity of voices, perspectives, knowledges, and skills from both within and outside academic realms in the formation of ‘Sustainable Societies’ that engage with questions of climate change.

Under the supervision of Professor Ute Meta Bauer, the successful candidate will be embedded within the research framework of Climates.Habitats.Environments., developed by Bauer, which bridges arts and cultural production, local and indigenous knowledge, and science to develop transdisciplinary solutions addressing and mitigating the climate crisis. The Research Fellow will be based at the NTU Centre for Contemporary Art Singapore.

Key Responsibilities

• Responsible for the managerial oversight of the project’s publishing and editorial aspects.
• Author research publications and contribute to the development of public or scholarly presentations related to the research project.
• Identify and author grants to further research projects and related programming, publications, workshops and conferences.
• Support the development of a transdisciplinary MA programme in cultural and environmental conservation and preservation.

Job Requirements

• PhD in humanities, cultural anthropology, art, architecture or design.
• Academic track record in transdisciplinary climate research, as well as in local and indigenous cultural practices, or in cultural and environmental conservation and preservation.
• Strong academic writing skills, preferably in English, with high literacy of cultural and environmental vocabularies for text submissions to peer-reviewed academic journals.
• Strong project management skills and experience with transdisciplinary academic publishing and presentation.

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This position focuses on the deep learning inspired understanding of the responses of slopes to extreme draught-heavy rainfall climate. The selected Research Fellow is required to:

• Investigate the coupled multi-phase responses of slopes.
• Unveil the responses of slopes under periodic extreme drought-heavy rainfall.

Job Requirements

• Possess a PhD degree with related job experience.
• Having physical modelling experience.
• Good at coupled multi-physics modelling.
• Good written and spoken communication and able to present results.
• Open to fixed-term contract.

As a clinical research coordinator, you will be actively involved in coordinating clinical trial activities according to the study protocol and in compliance to the ICH Good Clinical Practice guidelines and the Health Products (Therapeutic Products) Regulations under the Health Product Act.

You will support and assist the Principal Investigator in the following trial related activities:

• Patient screening and recruitment,
• Monitoring subject’s compliance to their treatment and follow-up,
• Data collection and management including resolving data discrepancies,
• Coordinating the collection of biological specimens,
• Monitoring of adverse events and safety reporting,
• Maintaining and organising of investigator site files, preparation and submissions to the ethics committee and relevant local health authorities,
• Tracking of trial expenditures and timely invoicing.

Requirements:

• Degree in Life Sciences/Nursing
• OR Diploma in Nursing with minimum 6 years working experience as CRC
• 2 years of related working experience will be advantageous
• Excellent time-management and communication skills
• Able to work independently and as a team
• Detail-oriented and self-motivated
• Good grasp of MS Office applications

Research Assistant/Associate, Analytical Chemistry

We are currently recruiting a highly motivated Research Assistant/Associate in the team of Nanyang Assistant Professor Guan Xue Li. Our group is interested in understanding the roles of microbial lipids in human health and antimicrobial resistance. It is increasingly appreciated that microbial lipids play critical functions in modulation of human metabolic and immune health, as well as infection outcome and treatment responses. We employ an integrated systems biology approach, including development and application of lipidomics, to study the complex repertoire of bacterial lipids and aim to identify lipid metabolic networks which can be modulated for treatment of infections.

The successful candidate will have the opportunity to work with a multidisciplinary team of investigators in LKCMedicine, clinical and industry partners, as well as the wider lipidomics community, including the microbial lipids interest group. This position will expose the candidate to state-of-the-art technologies for lipidomics/ metabolomics, other leading edge research facilities in LKCMedicine and NTU and access to clinical samples, including bacterial isolates from human patients.

Key Responsibilities:

• Optimize bioanalytical workflows for lipid analysis of microbial and mammalian samples from laboratory and clinical sources
• Perform sample preparation and LC-MS/MS analysis
• Assist in maintenance and troubleshooting of HPLCs and mass spectrometers
• Routine operation of LC-MS/MS
• Assist in processing and quality control of lipidomics data
• Support research projects
• Prepare project updates
• Participation in evaluation measures and quality assurance
• Research administration and fulfilment of institutional requirements

Key Competencies and Requirements:

• Bachelor’s or Master’s degree in Biomedical Sciences, Life Sciences, Bioengineering, Analytical Chemistry related disciplines
• 1-2 years of working experience in bioanalysis using LC-MS, but recent graduates with the right aptitude will be considered
• Hands-on experience with operation and troubleshooting of high performance liquid chromatography mass spectrometer(s) preferred
• Problem-solving and critical thinking skills
• Highly self-motivated and demonstrate independence with minimal supervision
• Possesses excellent organizational and communication skills, fluent in spoken and written English
• Able to supervise students, and work as a team
• Able to work collaboratively, and to handle several concurrent fast-paced projects

If you are interested to pursue a career with the School, please write to Assistant Professor Guan Xue Li (mailto:[email protected]) with a cover letter, CV, list of publications, and names and contacts of at least two references at your earliest convenience.

Only full application will be considered, and shortlisted candidates will be notified.

Research Assistant, Microbiology/Parasitology

Lee Kong Chian School of Medicine is recruiting a Research Assistant for the Respiratory and Infectious Diseases Programme, Laboratory of Antimicrobial Resistance and Drug Discovery under Professor Pablo Bifani.

Malaria continues to be a leading cause of morbidity and mortality associated with an infectious disease, accounting for 249 million malaria cases and 608,000 deaths in 2022 alone. The lab is interested in the understanding of the mechanisms of drug resistance associated with antimicrobials, including antimalarial drugs. The job entails deciphering the mechanisms of resistance to existing and newly identified antimalarials. The candidate will be required to work with human and simian malarial parasites, Plasmodium falciparum, P. cynomolgi and P. knowlesi and performed forward and reverse genetic experiments to better understand the mechanisms of drug resistance.

Key Responsibilities:

• Bacterial assay development, assay optimization and compound screening.
• Target deconvolution (understanding mechanisms of action and resistance of selected compounds).
• Design and conduct experiments including data collection and analysis.
• Summarize and present the data in lab meetings.
• Develop new research techniques and approaches.
• Perform maintenance of inventory and procurement of laboratory consumables.
• Ensure safe technical practices and procedures.

Key Competencies and Requirements:

• Bachelor’s degree in Biomedical Sciences or related fields.
• Experience working with the malaria parasite and basic molecular biology skills.
• Willing to learn and feel comfortable working with various malaria parasites (primarily) and bacteria.
• Highly adaptable at working with different organisms and techniques.
• Collaborative spirit with internal and external collaborators.

Job Title: Research Associate (Design Innovator) in the Design Innovation team of SUTD

Description:
As a Design Innovator, you will play an important role in the successful realisation of DI projects and programs. Key components of the job are design competencies, in particular those involving users, user needs, conceptual design, prototyping, industrial design, analytical design, digital design, data-driven design, and user validation, and the ability to liaise with internal and external partners and stakeholders on a regular basis.

You will be part of the Design Innovation team and are expected to contribute to its vision, aims and programs - Design Education, Design Guidance, and Design Incubation – as well as design research, with an emphasis on Design Guidance. You are also expected to participate in SUTD events, support the organization, and support the work of other members of the DI team, as and when required.

If you imagine and dream of an employment opportunity with empathy, creativity, mindfulness, inclusivity, passion, autonomy, daring, and excellence in outcomes at its heart and soul, then this is the opportunity for you. Its realization depends on your willingness to embrace and grow boundlessly within these characteristics and mindsets.

Areas of Focus:

Design Guidance Projects

• Support and/or co-lead projects contributing industrial design, design engineering, systems design or product-service-systems development skillset.
• Mentoring and co-creating in innovation projects with public and private external partners and teams.
• Depending on background and skill sets, develop user experiences (UX), user interfaces, digital solutions, and data-driven solutions for and with external and internal partners.

Design Innovation Workshops and Education, Embedding Design

• Work with the DI Director to engage key stakeholders.
• Facilitate Design Innovation workshops and educational modules.
• Grow into role lead facilitator or co-lead for workshops.
• Develop Design Innovation content for delivery in workshops and education modules.
• Engage external partners to embed, catalyze, and grow design in their organizations.

Skillset:

Industrial Design:

• Develop concepts and prototypes for physical products, considering aesthetics, ergonomics, materials, and manufacturing processes.
• Conduct research on user needs, market trends, and competitor analysis to inform design decisions.
• Create detailed technical drawings and specifications for product development.

UX-UI Design:

• Design intuitive and user-friendly digital interfaces for web and mobile applications.
• Conduct user research, usability testing, and gather feedback to inform design iterations.
• Develop wireframes, user flows, and interactive prototypes to visualize and validate design concepts.
• Collaborate with software developers to implement UI designs with attention to technical feasibility.

Visual Communication Design:

• Create visually compelling graphics, illustrations, and branding materials that align with brand identity and target audience.
• Design marketing materials, promotional assets, packaging, and presentations to effectively communicate ideas.
• Ensure consistency and coherence in visual language across various platforms and media.

Adobe Suite Proficiency:

• Leverage your expert knowledge of Adobe Creative Cloud applications (Photoshop, Illustrator, InDesign, XD, etc.) to execute high-quality designs efficiently.

Others:

• Provide general support to the Design Innovation Team
• Undertake and perform other duties as assigned
• Be involved with partners in pre-workshop/project meetings, discussions and proposals

Requirements:

• You should possess a degree and have practical design experience in areas of relevance to Design Innovation.
• You should be able to work to strict deadlines, apply a user-centred design approach with rigor, deliver high quality studies, concepts and prototypes, and work on multiple projects in parallel.
• You must enjoy being creative and working with a variety of people, have a passion for design, not be afraid to take on challenging tasks, and eager to learn new competencies. The ideal individual will have strong written, visual and verbal communication skills.

About the Design Innovation Team

The Design Innovation team is a group of world-leading interdisciplinary designers, technical professionals, and researchers leading the world of design. The Design Innovation team functions to develop fundamental and ground-breaking results in design science as well as to fulfil the mission of a better world by design through a porous interface with industry, government, and social projects. This interface allows for a seamless integration of empirically grounded design methodologies that directly lead to outcomes with positive impacts at the social, media, and technological levels. The team is highly multi-disciplinary and leverages the ethos of a human-centred design approach with fundamental scientific studies in technology to create solutions to real world wicked problems, opportunities, and grand challenges.

Basic Functions:

Leads a project for assay design and developments, co-ordinate stability studies and marketing supports (trouble shooting assays).

Duties:

• Plan and conduct experiments according to project plans and keep timelines
• Design and conduct investigations and experiments, record and analyze or interpret the results in support of project development objectives, keep accurate records of work undertaken
• Supervise and support other team members in planning and execute experiments
• Follow standard operating procedures and safety guidelines and maintain a clean and orderly environment
• Engage in continuous learning and skill development
• Maintains and implement ISO 13485 / FDA QSR 21 CFR: PART 820 and other relevant International standards and regulations
• Communicate and collaborate with other professionals in the lab
• Ensure necessary and effective support for operations and marketing on technical issues, customer special requirements, complaint and problem solving
• Assist new product clinical trials and new product transfer and provide necessary supports such as developing procedures and standards for product launching
• Conduct initial review for study protocols & reports and other documents to support R&D projects prior to external review
• Identify process problems, suggests improvements, and initiates trouble-shooting.
• Provide adequate and appropriate training for subordinates
• Assist with lab planning and equipment calibration and maintenance
• Other projects as assigned by department manager

Requirements:

– Ability to: Lead a project team in carrying out the task.

– Knowledge of: : Immunodiagnostics, microbiology

– Education: PhD; MSc/MEng; Good Honors degree; or equivalent.

– Experience: At least 2-6 years of relevant work experiences

Purpose of the Role:

Industry Research & Creation Division (hereinafter referred to as “IRCD”) provides a full spectrum of services ranging from industry research to strategic solution proposals. The role requires strong leadership to effectively manage teams in Singapore and Hong Kong, driving high performance by leveraging highly specialized industry research expertise.

The individual shall be responsible for 1) leading the teams to conduct research on a wide range of industries in APAC region, providing industry knowledge, views and insights to both internal stakeholders and clients; 2) guiding the teams to take the initiative to engage clients in discussions on business strategies by leveraging industry knowledge, thereby supporting business lines in identifying and creating business opportunities; and 3) overseeing team activities to ensure the high quality output and offering sound recommendations that contribute to MUFG Bank’s sustainable growth.

Job Responsibilities:

· Develop and accomplish the business plan to align with the Bank’s business strategies and initiatives in APAC region.

· Lead the teams to perform in-depth analysis of a wide range of industries in APAC region.

· Guide the teams to proactively support business lines by providing industry knowledge, views and insights to both internal stakeholders and clients.

· Lead the teams to identify clients’ business challenges and recommend reasonable actions based on the adequate analysis and understanding of the latest industry trends, and medium-to long-term foresight.

· Collaborate closely with managements and the planning team of IRCD Tokyo, as well as overseas colleagues, to promote global sector activities and IRCD’s initiatives as one team.

· Develop and maintain strong relationships with senior managements in APAC region as well as key stakeholders of MUFG.

· Partner with global colleagues to gather industry information and share knowledge, views, and insights.

· Work with various external parties including, but not limited to, consultancies, credit rating agencies and government agencies to collect information to develop robust outcomes.

· Oversee the management of direct reports, including objective setting, performance evaluation, career development, and decisions regarding financial and non-financial rewards.

· Provide support, coaching and guidance to the teams on complex issues.

· Ensure the quality of research outputs by reviewing team reports to ensure the precision, organization, logic, persuasiveness, and value-added contents.

· Act as a trusted advisor to managements on matters related to the industry research.

Job Requirements:

· Degree qualified.

· At least 15 years of experience, including relevant industry research expertise within the banking sector.

· Proficiency in both written and spoken Japanese (minimum JLPT1 Certification) to effectively communicate and report business strategies, plans, and activities to internal stakeholders including, but not limited to, IRCD Tokyo, Japanese Corporate & Investment Banking Business Planning Division Tokyo, and senior managements in APAC region as well as Tokyo HQ.

· Strong coaching and mentoring skills to lead and manage the teams.

· Extensive experience in conducting research to prepare sound recommendations.

· Advanced analytical skills to interpret large and complex datasets, identifying key insights and implications.

· Excellent communication and presentation skills, with the ability to influence others through logical reasoning.

· Comprehensive knowledge of industries and economies in the APAC region.

· Deep understanding of functions, departments, divisions in and out of MUFG, to foster effective collaboration and add value to business promotion efforts.

We regret to inform that only shortlisted applicants will be notified.

You will be working side by side with the network core team in ensuring network availability and serviceability for a secure, resilient and stable distributed environment. Your primary responsibility is to support and maintain the network access layer for our enterprise networks. You will manage access to the wired and wireless networks; ensuring last-mile connectivity for multiple locations. In addition, you will also manage the network communications rooms at these locations; providing cabling interconnect services for structured cabling, and liaising with Facilities Management to ensure uninterrupted power and cooling delivery to the rooms. You may be called upon to support certain network functions in the Data Centre.

This is a 24 x 7 job scope and you will be required to work at scheduled after-office hour maintenance activities and respond to ad-hoc unscheduled events.

Job Scope:

Manage wired and wireless network access infrastructure; and support Data Centre network operations

1. Administer and support network infrastructure including network routers, switches, wireless access points, WLAN controllers, AAA servers and encryptors

2. Respond and diagnose tickets related to network access and performance issues

a. Service and close support tickets to relocate or add client endpoints' wired network access

b. Service and close support tickets to resolve client endpoints' wireless access

3. Troubleshoot, triage and resolve client endpoints' 802.1X authentication/authorization access issues and escalate, if necessary, L2 and L3 issues

4. Monitor availability of network access and provide immediate response and/or investigation to system alerts

5. Troubleshoot and assist with root cause analysis of incidents replacing failed network components

6. Support and perform routine automation tasks to ensure compliance for secure configuration, configuration backup management and routine firmware upgrades/updates

7. Manage operational activities and implement changes

8. Track network equipment support lifecycle, procure and support refresh activities to project closure and payment

9. Track equipment maintenance support agreements and telco circuits contracts, procure contract renewal and make payment

10. Support project teams in the delivery of wider IT servicesInventory and Documentation

11. Create and maintain clear and concise documentation of the environment

12. Maintain up-to-date documentation on rack layout and cabling interconnects

13. Manage and maintain up-to-date inventory control

14. Perform periodic inventory audits and review

15. Adhere to organisation procedure to retire obsoleted equipment

Requirement:

• Diploma or Degree holders with 1 to 2 years of working network experience in management of LAN and WAN environment

• Preferably with formal technical certification such as Cisco CCNA

• Experience in scripting and programming with network automation tooling on Ansible, Python, Terraform, GitLab is a plus

• Strong customer service orientation with good communication skills

• Self-motivated with attention to details

• Ability to work independently and effectively in a team environment

Good to have:

1. TCP/IP, Ethernet, VLAN, Spanning Tree, 802.1X, HSRP/VRRP, 802.11x Wi-Fi

2. static routes, OSPF, EIGRP

Good working knowledge and hands-on experience in network administration and support of

3. Cisco routers and switches

4. Cisco Wireless Access Points

5. Cisco Wireless LAN Controllers

6. Cisco ISE (Identity Service Engine)

7. Network monitoring solutions such as CheckmK

8. WAN and Internet access services

Job Responsibilities:

• Implementing the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guiding primary school children (primary 1 to 6) to ensure completion of daily homework
• Keeping accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Prepare and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conducting MindChamps unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Use positive discipline techniques at all times.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director/ Manager

Job Requirements:

• Diploma in any discipline
• Experience in teaching primary school students will be an advantage
• Able to guide in doing primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills
• Undergraduates are welcome
• Bilingual English & Mandarin to liaise with mandarin Parents

Working Hours: 8.30am - 6pm Mon - Fri

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

• 2 year contract + perm benefit

• Nearest MRT: Tampines East

• Previous experience in research is more advantageous.

Job Description

1. Support the conceptualisation and management of studies related to correctional research and evaluation.
2. Conduct literature reviews and write reports.
3. Collect and analyze research data.
4. Provide publication-related support.
5. Coordinate with internal and external parties to facilitate research studies or related requests.
6. Maintain online knowledge management initiatives and miscellaneous management of e-resources.
7. Any other duties as assigned.

Job Requirement

1. Singaporean only.
2. Min Degree (Preferably Degree in Psychology/Social Sciences/ relevant qualification).
3. Strong writing, interpersonal, and communication skills.
4. Proficiency in statistical software (SPSS).
5. Previous experience in research is more advantageous.

*Salary offered depends on experience and qualification.

Interested candidates please click “Apply Now”.

We regret to inform that only shortlisted candidates will be informed.

Nicky Yew Soo Ee

Fulfillment Team

BGC Group Pte Ltd

EA: 05C3053

Registration No: R22109448

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

· The grade of appointment will be determined based on the candidate’s academic qualifications and years of relevant experience.

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills

Nanyang Technological University’s ANT Group – NTU Joint Lab is a collaboration between ANT International and NTU. The partnership will explore privacy-preserving methods for large language models (LLMs) and will be overseen by a joint research committee.

We are looking for a Research Engineer II to involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying fully homomorphic encryption in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Research and development of trust technologies such as privacy-preserving machine learning which are important components of digital trust platforms.
• Be involved in privacy-preserving machine learning and fully homomorphic encryption system development and implementation.
• Assist in preparation of reports and scientific papers.

Job Requirements:

• Master’s degree in computer science, mathematics, information theory or related field
• Participation in privacy, security, and trust related conferences and journals
• Good programming skill, preferably with experience in implementing cryptographic algorithms.
• Be familiar with the following programming languages: C/C++
• Good communication skill, self-motivated, and could deliver under tight schedule

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Join our physician-led cutting-edge metabolomics lab as a Bioinformatics Expert and help us make an impact in the world of precision medicine.

We are a dynamic research lab at the forefront of metabolomics, dedicated to advancing knowledge in metabolic pathways, biomarker discovery, and personalized healthcare. Our interdisciplinary team collaborates with both Singapore based and global institutions. We offer opportunity to work on innovative projects with a collaborative team and a patient-centric focus with access to state-of-the-art facilities and resources.

Main Duties and Responsibilities

Key Responsibilities:

• Develop and implement data extract, transform, and load (ETL) pipelines for metabolomics data (mainly LC-MS/MS based metabolomics).
• Perform data integration from multi-omics platforms (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning techniques (preferably explainable models) for biomarker discovery in large clinical dataset.
• Maintain and update databases and in-house analytical tools for metabolite identification and pathway analysis.
• Lead or significantly contribute to successful collaboration in clinical cohort research.
• Derive clinically actionable insights from data patterns.
• Collaborate with biologists, chemists, and clinicians to interpret results and publish findings.

Admin:

• Assist the professor in writing grants & manuscripts for higher impact journals.
• Assist with ethics submissions.
• Attend meetings with the primary investigator and team members.
• Liaise with multi-national collaborators for commercialization and validation of our discoveries.

Qualifications

The applicant Must:

• Ph.D. or Master’s in Bioinformatics, Computational Biology, or related field.
• Proficiency in R, Python, and/or bioinformatics tools for metabolomics.
• Ability to build custom applets/scripts for data analysis.
• Ability to thoroughly explore large data sets (up to ~PB scale), derive hypotheses, and adjust analysis dynamically.
• Experience in database query (e.g. KEGG, Ensemble, HMDB, wikipathway).
• Awareness of data standards for clinical research and statistical analysis (e.g. EQUATOR Network)
• Strong analytical and communication skills.
• Experience in and/or knowledge of medical data, clinical processes or trials
• Experience in constructing clinical risk prediction models for biomarker research will be a plus.
• Experience in translating conceptual algorithms to implementable code will be a plus.
• At least 2 years of relevant research experience and prior publications will be preferred.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work to develop secure, isolated hardware platforms (for small, IoT-style systems) while maintaining efficiency and performance. This is done through the development of novel designs that enable isolation and security, even in the presence of shared hardware resources. He/she should possess experience or interest in at least one of the following research areas:

• Hardware and Systems Security
• Computer Architecture
• Energy Efficient SoC Design
• Simulation Methodologies (Cycle-level Microarchitecture Simulation)

Qualifications

• A PhD degree in a relevant area
• Good publication record
• Experience in research

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Associate in the Department of Computer Science, School of Computing (SoC). The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building largescale experimental systems and improving the wellbeing of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills

Job Description

Candidate applying for this position shall research, develop and implement AI robotics to create an intelligent environment in the robotics for autonomous manufacturing.

Roles & Responsibilities

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Conduct technology scouting for industrial robotic applications and automation best practices.
• Perform process mapping and feasibility analysis for robotic processes.
• Develop smart robotic automation options, project proposals, and scoping.
• Engineer and conceptualize robotic processes.
• Program robotic motion using simulation-based techniques.
• Execute the project lifecycle for robotic process development and implementation.
• Prepare technical project documentation and presentations
• Develop and optimize advanced robotic algorithms for perception-guided manipulation.
• Maintain and support software components for manipulation systems.
• Collaborate with hardware engineers to integrate software solutions.
• Create and implement transfer learning models for various machine learning tasks.
• Collaborate with domain experts to tailor transfer learning models to specific business needs.
• Utilize transfer learning to enhance expert skill efficiency and applicability.
• Stay updated on the latest advancements in transfer learning and skill adaptation.

Job Requirements

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimum 2 years of experience in industrial robotic automation development and deployment.
• Expertise in ROS and programming languages like C++, C#, Python, or JavaScript.
• Knowledgeable about Linux platforms and command line operations.
• Deep understanding of robot manipulation and kinematics.
• Proficient in CAD software, especially Siemens NX.
• Strong in industrial and collaborative robot programming.
• Familiarity with offline robot programming software like ABB-RobotStudio, Robotmaster, or RoboDK.
• Experience with machine learning frameworks (TensorFlow, Pytorch, Scikit- Learn, Caffe) and computer vision tools (OpenCV, PCL) is advantageous.
• Skilled in working with diverse datasets and applying transfer learning.
• Proficient in rapid prototyping and constructing neural network models efficiently.
• Strong problem-solving skills and analytical mindset.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineerto implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 5 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Research Assistant ( Biomedical Programming )

The Data Scientist role is to help the team in driving and maintaining a shared platform for clinical and genomic data recording and analysis, as well as biological specimens tracking, for local and regional research projects

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• At least 2 years of work experience in data science

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator (PI) and study team members to successfully deliver research outcomes pursued in several nationally funded projects:

Ischaemic stroke and cardiovascular diseases, focused on biomarker discovery and validation using preclinical vascular and animal models. A key focus of the work is to understand the reasons why strokes occur and how to identify high-risk individuals for more intensive interventions. This work leverages on a well-phenotyped repository of samples from stroke patients who have been meticulously characterized by whole-exome sequencing, RNA-seq and proteomics and outcomes collected in patients who were followed for more than 10 years.

Qualifications

The applicant should:

1. Have a good PhD degree in life sciences, biomedical sciences, biochemistry or bioengineering from a well-recognized university.
2. Experience with immunohistochemistry, molecular biology, microscopy techniques and computational analytical methods will be considered favorably.
3. Able to work independently and in a team, and must have good interpersonal and communication skills.
4. Possess good organizational skills for project planning, data analysis, manuscript preparation and grant applications.
5. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares.

Appointments will be made on a yearly contract basis with a good likelihood of extension.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.