As a valuable member of the SCH family, you are an integral part of the care team providing nursing care that matters to rehab and sub-acute patients. Working in a homely environment where there is lesser segregation of duties amongst staff groups, will provide quality nursing care and services in alignment with SCH’s care philosophy of unhurried personalised care. You will facilitate the continuity of care for patients throughout their hospitalisation and transition to home and community.

• Diploma or Degree in Nursing or its equivalent
• Advanced Diploma / Specialist Diploma / Graduate Diploma in Nursing (Gerontology / Orthopaedic / Neuroscience / Palliative Care / Community Nursing) is preferred for Senior Staff Nurse
• Experience in ILTC setting is an advantage
• Valid Registered Nurse practicing certificate issued by Singapore Nursing Board
• Valid BCLS certification
• Comfortable with shift work (3-rotating shift) and open to deployment within 2 work sites under SingHealth Community Hospitals
• Uniform required

We are an exciting and new family medicine focused clinic located in South East area of Singapore. Applicants will get to work hand in hand with competent and compassionate doctors and other professionals to deliver high quality and focused care for a range of adult patients. We are focused to look for future colleagues that will help take us further and forward, and colleagues that are excited to start with a clean slate and build a healthy and happy work culture. An enthusiastic and open-minded attitude will be favoured, as well as a dedication to patient care and service. Applicants will be able to discuss flexi-work or reduced hours contracts with us.

Responsibilities include (but are not limited to):

• Operations of clinic
• Registration
• Answering Phone calls, Whatsapp and email
• Managing queue systems
• Conducting Health Screening
• Assisting the doctor with procedures and test
• Conducting 12-Lead Electrocardiogram
• Stocktaking and requisition of drugs and other consumables
• End-of-Day settlement of payment terminals

Requirements

Experience

• Recent graduates are welcome
• Preferred: At least 2-3 years working in a General Practitioner Clinic

Skills

• Computer Literacy (Word, Excel, Office) and ability to learn new system
• Experience with Computer based Clinic Management Systems will be preferred.

Soft Skills and Attitude

• Excellent Customer Service
• Meticulous and pay attention to detail
• Calm under pressure
• Integrity and Honesty
• Working well with other professionals in a team
• Able to multi-task well
• Respect confidentiality and discretion in patient privacy and medical matters
• Willing to work weekdays, weekends, and night shift

We offer:

• A good, friendly working environment with clinical leaders who are on the ground.
• Opportunities for career advancement and growth within the company (up to managerial level)
• Modern and Beautiful Clinic Set-up purpose built for ease of use by employees
• Opportunity to participate in a challenging and exciting new field of healthcare
• Employee recognition for good performance
• Steady employment and working hours

Minimum qualifications:

• Minimum Requirement: Higher NITEC in Service Skills/GCE O Level with pass in English
• Preferred: Diploma in Health Services Management (e.g. Republic Polytechnic Health Services Management Diploma)

COMPANY DESCRIPTION

With a capacity of around 430 beds, Peacehaven provides compassionate, individualized, holistic care to all without discrimination. We offer a comprehensive gamut of services to care for the sick, frail and elderly who have physical or mental disabilities with minimal or no appropriate caregiver support at home.

Peacehaven has also been awarded the bizSAFE level 4 status which affirms our commitment to safety and health standards at the workplace.

The Salvation Army, Singapore - Peacehaven Nursing Home

RESPONSIBILITIES

Assist Manager in assessment, planning, implementation and evaluation of nursing care and service delivery. To maintain accurate records of care, participate in orientation and in-service education programs and supervise other staff as required.

Clinical Care

• Work under supervision of Manager to analyse, plan, implement and evaluate nursing. care for residents. Coordinate and implement care plans for the residents.
• Pack and serve medication and update residents/clients medical records.
• Conduct rounds to ensure residents are well and safe and report any abnormality for immediate/timely treatment and follow up with supervisor.
• Carry out changes made during medical consultations and update progress notes.
• Identify problems related to illness and decline in functional, cognitive abilities and advocate early medical attention.
• Support the care staff in attending to the needs of the residents for activities of daily living.
• Supervise and carry out complex procedures as required.
• Be familiar with all aspects of nursing care and emergency evacuation procedures to be able to attend to emergencies that may arise.

Quality

• Assist and supervise activities and rehabilitation programmes to enhance the quality of life for residents.
• Maintain systematic inventory control of drugs in RLA and all assets acquired in order to achieve optimal utilization and safe storage.
• Practice proper decontamination procedure and infection control and ensure safe custody of residents.
• Promote effective and co-operative working relationships in an interdisciplinary team within the RLA and with all the internal and external customer groups to deliver quality service to residents and visitors. Utilize good communication skills to develop and maintain productive relationships within RLA, with other departments, disciplines agencies and the public.
• Participate in multidisciplinary meeting, quality improvement programs, organizational committees, workgroups activities.

Training & Development

• Supervise and guide staff in their duties. Evaluate and discipline the performance of all staff within scope of responsibility.
• Educate, train, and supervise residents, families and caregivers. Provide health education to residents and families.
• Orientate new staff of professional and non-professional nursing personnel.

Others

• Attend regular nursing and department meetings that affect policies relating to delivery of health care services.

Bachelor of Nursing degree

Job Requirements

• Registered with Singapore Nursing Board
• Good interpersonal and communication Skills with people of all levels
• Demonstrate skill and knowledge in the eldercare sector

Working Hours

44 hours per week

Shift duty according to nursing roster

Working Location

9 Upper Changi Road North Singapore 507706

At The Perse School (Singapore), we cultivate a happy and nurturing environment, inspiring students to develop a lifelong love of learning and prepare for a fulfilling and successful future.

To deliver on our mission of inspiring students to love learning, we embrace The Perse Way — a unique educational approach that places our values at the heart of everything we do. Developed over 400 years, The Perse Way guides us as we continually look forward, shaping an exceptional education for the future.

The Role

The Perse School (Singapore), is seeking for a School Nurse to join our dynamic team. The ideal candidate will be responsible for providing healthcare services to students, ensuring their physical and emotional well-being while at school. The nurse plays a key role in managing and promoting health education, addressing medical needs, and responding to health emergencies.

Overall Responsibilities:

• Provide medical support for the whole school.
• Maintain and replenish medical supplies, including first aid kits, according to standard requirements.
• Ensure all medical equipment in the school wellness centre is functioning properly.
• Conduct examinations of unwell students or staff members who require immediate medical attention.
• Administer care according to established medical standards and protocols.
• Inform parents and school administrators about students' conditions and updates on their health status.
• Coordinate the transfer of students or staff to the nearest hospital’s Emergency Ward, following standard procedures, and ensure parents are notified to meet at the hospital.
• Maintain accurate records of each medical case attended to.
• Identify students who fall ill frequently or have infectious diseases, and report findings to the school administration for further action.

Requirements:

• Registered Nurse with the Singapore Nursing Board.
• Minimum of 3 years of experience working as a registered nurse; pediatric or child health experience preferred.
• Experience working in an international school is preferred.
• Bachelor’s Degree in Nursing.

This role will start in January 2025.

Responsibilities

The lab of RNA in Disease and Translational Technologies at the Institute of Molecular and Cell Biology, A*STAR, Singapore is seeking to recruit a highly motivated Scientist or Senior Scientist to join a team developing a ribozyme-based RNA platform for potential translational and/or clinical applications.

The work will involve both in vitro and in vivo techniques, including molecular biology (RNA design, in vitro transcription, cell-free RNA assays, RT-qPCR, molecular cloning), cell biology (cell culture, cell transfection, flow cytometry, antisense oligonucleotides and RNAi, CRISPR), high-resolution imaging techniques, and experiments in mouse models (e.g. transgenesis, in situ hybridization and immunohistochemistry, imaging and functional analyses)

Requirements

• Minimum Ph.D. in Cell Biology, Molecular Biology, Biochemistry, Genetics, Neuroscience or a related discipline.
• The successful candidate should have strong expertise in RNA biology, cell biology, biochemistry and molecular biology techniques, a strong publication record that includes a first author research paper, and strong scientific writing skills.
• They should be creative, highly motivated, conscientious and be able to work independently, with good organisational, verbal and interpersonal skills. Our lab is collaborative and interdisciplinary, and the successful candidate should be able to work effectively and harmoniously in a diverse team.
• As a Scientist, candidate will also be expected to mentor and train students and Research Officers.

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls and/or automation. Knowledge of PLC programming would be a strong advantage.

The key roles & responsibilities include, but are not limited to the following:

• Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Formulate scientific research directions and innovative proposals to secure competitive funding
• Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is needed

Job Requirement:

• PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
• Fresh Graduates with strong fundamentals in controls and IIOT are welcome. (For Senior Scientist) 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

A Research fellow position is available in Dr. Anand Andiappan Laboratory at the Singapore Immunology Network (SIgN). The successful candidate will support the research work that focuses on studying inflammaeing in the context of skin aging in Asian populations.

The candidate will work on primary cells from cohorts and cell culture systems towards understanding functional immune responses in skin immune interactions and recapitulating them in in-vitro and ex-vivo systems. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by microscopy, and associated data analysis with statistical tested.

Duties will include managing safety in the laboratory, creating Standard Operating Procedures (SOPs) and laboratory risk assessments, maintaining laboratory inventories, perform other laboratory administrative duties and operations such as ordering and tracking laboratory budget.

Job Requirements:

• PhD Degree in Skin Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in dermatology, immunology, molecular allergy and clinical immunology
• Experience with human and mouse blood/tissue sample handling and in vitro cell culture and processing (e.g. isolation of specific immune cell populations, differentiation and activation assay)
• Experience with flow cytometry analysis for different immune cell populations and functional immune assays
• Highly motivated to work in research laboratory and able to perform tasks independently
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills

Please submit your application with a cover letter summarizing your research experience.

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 Digital Health Accelerator (DHA) is led by A*STAR, Ministry of Health (MOH) Singapore, SingHealth, National Healthcare Group (NHG), and National University Health System (NUHS). DHA supports innovators in driving adoption and scaling of market ready or near-market ready digital health solutions. DHA is hosted by Singapore's Diagnostics Development Hub (DxD Hub).

The DHA integration engineer is responsible for planning and developing workflow and technical interfaces between healthcare IT systems. She/He will work with DHA Project Managers, Solution Architects, health systems and companies to accomplish this objective. She/He may also be called upon to advise other developers on integration standards.

Responsibilities:

• You’ll be involved in the development, design, build, testing, and go live phases of multiple integration projects.
• This includes scripting to conform / transform to another systems specifications.
• You will also work with internal teams to continuously improve processes and procedures around deployment of interoperability products that communicate in HIT standards-based formats such as HL7, IHE Profiles, Direct, or SMART on FHIR.
• The Integration Engineer oversees the development of new interfaces and maintain the sandbox environment up to date for application testing.

Requirements:

• Bachelor’s degree in information systems, Computer Science, Engineering, Computer Information Systems, Management Information Systems, or equivalent experience
• 3+ years’ experience in HCIT integration using established and contemporary interoperability standards (e.g. HL7, SMRT, FHIR)
• Experience with SQL and relational databases, and communication using secure protocols.
• Ability to work in a team environment alongside developers and deployment teams.
• Utilise engines like Mirth Connect or Rhapsody to have a standard way of integration using both HL7 and DICOM
• Knowledge in developing and configuring Context Launch requirements according to AES 256 standards.
• Assess and customise integrations (HL7 / FHIR / DICOM) based on the project to specific workflow.
• Experience with cloud deployments and/or pipelines, especially Pivotal Cloud Foundry
• Experience with popular healthcare integration engines with ability to recommend and/or select different integration approaches depending on the desired outcomes for the system.
• Strong communication skills and ability to work with project stakeholders from different backgrounds (e.g. technical, clinical)
• Experience integrating with Singapore public hospital technical stack and working with Synapxe are a plus.

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 Digital Health Accelerator (DHA) is led by A*STAR, Ministry of Health (MOH) Singapore, SingHealth, National Healthcare Group (NHG), and National University Health System (NUHS). DHA supports innovators in driving adoption and scaling of market ready or near-market ready digital health solutions. DHA is hosted by Singapore's Diagnostics Development Hub (DxD Hub). The DHA integration engineer is responsible for planning and developing workflow and technical interfaces between healthcare IT systems. She/He will work with DHA Project Managers, Solution Architects, health systems and companies to accomplish this objective. She/He may also be called upon to advise other developers on integration standards.

Responsibilities:

• You’ll be involved in the development, design, build, testing, and go live phases of multiple integration projects.
• This includes scripting to conform / transform to another systems specifications.
• You will also work with internal teams to continuously improve processes and procedures around deployment of interoperability products that communicate in HIT standards-based formats such as HL7, IHE Profiles, Direct, or SMART on FHIR.
• The Integration Engineer oversees the development of new interfaces and maintain the sandbox environment up to date for application testing.

Requirements:

• Bachelor’s degree in information systems, Computer Science, Engineering, Computer Information Systems, Management Information Systems, or equivalent experience
• 5+ years’ experience in HCIT integration using established and contemporary interoperability standards (e.g. HL7, SMRT, FHIR)
• Experience with SQL and relational databases, and communication using secure protocols.
• Ability to work in a team environment alongside developers and deployment teams.
• Utilise engines like Mirth Connect or Rhapsody to have a standard way of integration using both HL7 and DICOM
• Knowledge in developing and configuring Context Launch requirements according to AES 256 standards.
• Assess and customise integrations (HL7 / FHIR / DICOM) based on the project to specific workflow.
• Experience with cloud deployments and/or pipelines, especially Pivotal Cloud Foundry
• Experience with popular healthcare integration engines with ability to recommend and/or select different integration approaches depending on the desired outcomes for the system.
• Strong communication skills and ability to work with project stakeholders from different backgrounds (e.g. technical, clinical)
• Experience integrating with Singapore public hospital technical stack and working with Synapxe are a plus.

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.

Job Responsibilities:

• Design and develop high-quality, scalable, and maintainable mobile applications.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Stay up-to-date with the latest trends and technologies in mobile development.

Requirements:

• At least a minimum of 5 years of relevant experience in IOS/Android App development.
• Bachelors degree in Computer Science, Information Technology, or a related field.
• Strong knowledge of Flutter, React, Dart and native programming language.
• Proven experience in building mobile applications for Android and iOS.
• Understanding of the full mobile development life cycle.
• Familiarity with RESTful APIs to connect mobile applications to back-end services.
• Strong understanding of design principles and user interface guidelines.
• Excellent problem-solving skills and ability to work in a team environment.
• Good communication and interpersonal skills.

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.

We are looking for a qualified individual to be involved in the below project. The candidate will work with a dynamic team to identify and validate candidates that address the body’s adaptive responses to weight loss.

TaRgeted Analysis of Novel Secreted Factors for Obesity Reduction and Metabolic Health (TRANSFORM)

Description:

Multi-omic analysis of secreted factors from various datasets was carried out, including human, mouse and primate plasma and metabolic tissues to identify novel primate-specific secreted factors critically involved in the regulation of physiology balance. Integrative data analysis and in silico rank scoring revealed a list of promising secreted factor candidates. We will be using model organisms (e.g. mice, zebrafish) to conduct phenotypic screens and prioritize candidates for detailed validation, characterization, mode-of-action studies and therapeutic strategies.

Job responsibilities:

● Conduct in vitro wet lab experiments for identified candidates (e.g. cell culture, molecular biology and assays, protein chemistry, pharmacological efficacy etc)

● Conduct in vivo screening experiments for prioritized candidates (e.g. in preclinical models of obesity)

● Conduct end-point and mechanistic experiments (e.g. target tissue and blood collection, sample preparation etc)

● Analyze collected data and maintain accurate monitoring and reporting of experimental set-up, results and research findings

● Interact and collaborate with and assist other researchers and collaborators on related projects

● Communicate regularly with supervisor and join discussions with Principal Investigator and rest of the lab to discuss scientific progress and direction

● Assist in the preparation of grant applications and grant process reports

● Present findings both orally and in written form via presentations and publication in peer-reviewed journal

● Assist in the preparation of figures and manuscripts on the research projects for publication in peer-reviewed journals

● Contribute to other program-related projects and organizations and with the general scientific community across A*STAR

Key responsibilities:

* Technical Support:

• Work closely with research scientiest and engineers to support R&D projects in advanced manufacturing technologies.
• Identify and recommend appropriate characterization techniques, test standard and methodology for projects.
• Perform sample preparation, equipment operation, data collection and report for metallurgical analysis, materials characterization and measurement.
• Operate and maintain analytical and test equipment, such as cross-section polisher, optical microscope with image processing software, mechanical tester, profilometer and spectrometers.

* Lab Management and day-to-day operations

• Maintain lab equipment in good working condition, lab consumables are adequately stocked and well managed.
• Source and purchase new equipment, modules and accessories.
• Prepare and update lab safety document RA/SWP. Implement and maintain 5S in the lab.
• Provide training and advice for lab equipment users.

Requirements:

• Diploma in Materials, Chemistry, Mechanical Engineering, or equivalent.
• Good communication skills.
• Self-motivated with a positive work and learning attitude.
• Team player who thrives in a collaborative environment

You will play a pivotal role in the Heart Protection theme of the National Heart Research Institute of Singapore (NHRIS) at the National Heart Centre of Singapore (NHCS). Your responsibilities will include:

· Leading, executing and managing a public-private partnership programme.

· Initiating and coordinating key processes of the programme in collaboration with Principal Investigators.

· Providing valuable intellectual contributions and strategic insights for the overall programme and its projects.

· Engaging and managing key stakeholders, both internal and external, across hospitals, research institutions, and industry partners.

· Overseeing administrative tasks such as facilitating meetings, managing agreements, generating reports, and budgeting to ensure the smooth operation of the programme

Job Requirements

- Degree in Science, Health Science or its equivalent with a strong background in molecular and cell biology

- Minimum 1 - 2 years’ relevant work experience in healthcare or research setting

- Experience in managing budgets and supervising junior staff

- Relevant project management certification and familiarity with A*STAR reporting requirements would be an advantage

- Demonstrated project management experience, preferably in laboratory and finance management

- Experience in preparing and submitting grant proposals, including knowledge of grant variations, submissions, and reporting

- Able to work independently, coupled with effective problem-solving and organisational skills

- A capable leader who can guide the team, monitor progress, supervise, and manage collaborative research activities

As a valuable member of the SCH family, you are an integral part of the care team providing nursing care that matters to rehab and sub-acute patients. Working in a homely environment where there is lesser segregation of duties amongst staff groups, you will provide nursing care, treatment and patient education activities to an assigned group of patients.

Job Requirements:

• Minimum NiTEC / Certificate in Nursing or equivalent recognised by Singapore Nursing Board
• Candidates with more relevant work experience will be considered for Senior Enrolled Nurse position
• Experience in ILTC setting is an advantage
• Valid Registered Nurse practising certificate issued by Singapore Nursing Board
• Valid BCLS (Basic Cardiac Life Support) certification
• Comfortable with shift work (3-rotating shift) and open to deployment within 2 work sites under SingHealth Community Hospitals
• Uniform required

You are responsible for all activities related to patient care in the ward. You will ensure that the ward is operating with optimal resources and patient care is of high quality, safe and cost-efficient. You will supervise the nurses’ clinical patient care activities and ensure that they uphold professional standards and code of ethics.

• Bachelor of Nursing with post-graduate qualifications in Gerontology / Orthopaedic / Neuroscience / Palliative Care / Community Nursing preferred
• At least 8 years of relevant experience in a hospital setting with 2 years of experience in a supervisory role
• Experience in ILTC setting is an advantage
• Valid Registered Nurse practicing certificate issued by Singapore Nursing Board
• Valid BCLS certification

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.

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

• 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

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.

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Associate to build the IoT hardware platform and design new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Design and develop hardware systems for IoT.
• Participate academic activities
• Assist in on-site experiments and data acquisition in application environment.
• Develop algorithms for spectrum optimization, blockchain and edge computing.
• Publish high-level academic papers
• Collaborate with other team members to build satellite IoT testing systems and draft research report.

Job Requirements

• Master or PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

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

Research and development (R&D) managers qualifications, including:

• Education: A bachelor's or master's degree in a relevant field, science or technology
• Experience: two years of experience in R&D roles
• Communication: The ability to communicate with various departments across the business
• Leadership: The ability to lead a staff
• Technical expertise: The ability to document and interpret complex requirements
• Innovation: The ability to develop new products, improve existing processes
• Business sense: An understanding of both business and science

R&D managers are responsible for planning and executing strategies to foster new ideas and advancements. A compelling CV for this role should demonstrate a balance of creativity, strategic thinking, and leadership skills

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

We are looking for experienced individuals with a strong background in computational modelling, thermal energy systems, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced computational techniques and thermal energy storage solutions, focusing on discovering novel materials and optimizing energy systems through machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

Key Responsibilities:

• Work closely with colleagues to ensure the requirements of the research project are met
• Conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development
• Use artificial intelligence (AI) techniques for material discovery and/or device design
• Use 3D printing techniques to fabricate phase change materials (PCM) composites
• Assist in experimental works or other required works by the PI
• Use data science techniques to process experimental results
• Write scientific papers/technology/reports and other work-related documents
• Develop machine learning algorithms for material discovery and novel heat exchanger design to seamlessly integrate PCMs into thermal systems.
• Fabricate PCM composites with optimized geometries through 3D printing technologies.

Job Requirements:

• Master's degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

We regret that only shortlisted candidates will be notified.

NTi Technology is a subsidiary of NTi Memtech Pte Ltd. We are a technology company specializing in membrane material research and development, membrane product manufacturing, membrane technology applications and services. NTi has its own fully equipped membrane R&D center and manufacturing base in Singapore to produce high-performance hollow fiber membranes.

Currently, we are looking for engineering, science, business and manufacturing interns with interests in membrane marketing, research, product development, and production.

We Offer:

• Hands-on experience in a full-scale membrane manufacturing facility, from research to production to delivery.
• Mentorship and training from experienced professionals in the field.
• Exposure to industry-standard practices and technologies.
• A supportive and collaborative work environment.

1. Membrane Research Intern:

Responsibilities and duties:

• Support and assist in QC inspections for daily membrane production (lab works).
• Maintain quality-related documentations (soft & hard copy) including SOPs, check lists, reports, etc.
• Support and assist in the testing for new membrane products.
• Assist in the Maintenance and calibration of lab equipment.
• Other related duties assigned.

Requirements:

• Familiar with handling chemicals.
• Strong hands-on capability and independent in performing experiments such as i) general chemical experiments; ii) how to use basic lab equipment like weighing balance, pH meter, pipette and etc; iii) laboratory safety practice. For any other equipment like FTIR, UV-Vis and TOC , they will be trained before they can operate.
• Good understanding of safe lab practice.
• Good written and spoken communication skills. Ability to communicate with equipment and material suppliers/ manufacturers based in China would be advantageous.
• Good team player, self-driven and meticulous.
• Year 3/ Year 4 students are preferred.