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 have an opening for a Research Fellow (Transportation) in areas related to connected and automated vehicles (CAVs). Specifically, we expect the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to traffic control in urban and highway contexts, vehicle dynamics and control, and optimization of transportation infrastructure. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a PhD degree in Civil Engineering, Mechanical Engineering, Electrical Engineering, or other closely related fields
• Research experience in Intelligent Transportation Systems with excellent publication record
• Good programming and analytical skills.
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable .
• Good technical proposal writing and presentation skills.
• Able to plan and organize well and adhere to the deadline.
• Able to perform research in a multidisciplinary team.
• Open to fixed-term contract.

We are currently recruiting a Research Assistant to work in translational respiratory research investigating infectious and immune consequences in chronic inflammatory lung diseases such as asthma, COPD and bronchiectasis. The individual should have a track record in molecular biology techniques such as DNA/RNA extractions & RT- PCRs. and should be comfortable in handling patient derived specimens. The individual should be able to work independently, multi-task & work collaboratively in a cross-disciplinary research environment.

Successful candidates will have the opportunity to work with an international and multidisciplinary team of investigators including close collaborations with respiratory and infectious disease clinicians nationally and the other schools within the wider NTU community where the lab already has existing collaborative projects.

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

Key Responsibilities:

Laboratory:

• Ensure that lab is adequately stocked with clean glassware, chemicals, etc. required for experiments
• To operate and maintain microbiome & other lab equipment
• To perform biological sample processing, DNA extractions, PCRs, basic microbiological techniques
• To perform daily lab management tasks such as inventory of supplies and samples, preparing sample processing media and solutions, ordering supplies and stocks, general housekeeping
• Ensure that standard operating procedures and safety regulations are followed
• To perform other related duties

Administrative:

• Maintain a systematic record of all purchases & track sources of funding
• Liaise with vendors and administrative office to ensure proper purchase requisitions, goods delivery and prompt payment of supplies
• To prepare lab for safety audits and maintain and update lab safety folder and inventories
• To assist post docs with conducting research studies by preparing sample packs, study questionnaires etc., coordinate and work closely with research teams from multiple sites across Singapore

Key Requirements:

• Degree in life sciences or equivalent in any relevant field of molecular biology
• Expertise in molecular and microbiological laboratory techniques
• Basic level Microsoft Excel & PowerPoint skills
• Good written and oral communication skills
• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details/ excellent organizational / time management skills

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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

The PI’s research lab focuses on soft electronics, soft robotics, energy conversion and thermal management.

We are looking for a Research Fellow to deliver project milestones for the field of iontronics particularly on energy harvesting, actuator and sensing integration. The role will focus on research on iontronics applications for future energy and soft electronics.

Key Responsibilities

• Interest in iontronics development
• Skills on ionic conducting polymer preparation
• The position requires interdisciplinary skillset, strong communication skills and ability to manage complexity
• Participate in the conduct of research project with research team members to ensure completion of deliverables
• Collaborate with internal and external stakeholder on commercialization potential of the research outcomes
• Mentoring and train junior students in the lab
• Assist in grant writing
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers
• Assist in high quality reports and documents that consolidate research findings

Job Requirements:

• PhD degree in materials science or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in energy harvesting, sensing and actuators
• Familiarity with required scope on flexible electronics
• Good written and oral communication skills in English – essential for research purposes
• Proficiency in materials synthesis, characterization, electrical data measurements and analyses
• Competent in process integration
• Excellent skillsets in fabrication of ionic conducting polymers
• Advanced knowledge in 3D printing and inkjet printing
• Expert in energy harvesting, Passion in sensing and actuators integration
• Interpersonal skill (Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)
• Candidate with prior experience of more than 2 years working on energy harvesting or actuators
• Candidate with prior knowledge on device fabrication and electrical measurements
• Expert knowledge in novel materials for energy harvesting

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

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.

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

• Develop new materials for energy storage and thermal management.

• Lead in experimental work, design and conduct experiments to validate the discovery.

• Assist or conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development

• Assist or conduct artificial intelligence (AI) techniques for material discovery and/or device design

• Conduct other required works by the PI

• Write scientific papers/technology/reports and other work-related documents

Key Responsibilities:

• Develop new energy storage materials.
• Design experimental facilities and conduct experiments for energy storage technologies.

Job Requirements:

• PhD 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 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

The successful candidate will work with Assistant Professor Andrea Phua’s lab on a range of projects, primarily “ Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility”.

The main responsibilities of the position include:

• Performing confocal fluorescence microscopy experiments
• Conducting computational image processing and analyses
• Establishing and executing technical workflows for brain tissue processing in visualizing spatial protein and gene localization

Qualifications

The candidate should hold a Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biochemical Engineering or a related field.

Skills:

• Strong interest in neuroscience research, with motivation to pursue further academic training in the field
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Demonstrated track record in confocal fluorescence microscopy and associated super-resolution techniques
• Proficient in image processing techniques (e.g. deconvolution, denoising) to enhance image resolution and quality for visualization and quantification
• Experience in implementing machine learning techniques for automated detection and quantification of events in microscopy images is required
• Familiarity with immunofluorescence and RNA-FISH techniques
• A good foundation in biostatistics, with the ability to apply statistical methods to analyze experimental data will be necessary
• Some experience in microfluidic device fabrication will be a plus

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Research Assistant – Pharmacokinetics unit

Job Scope:

· Pharmacokinetics Function – Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Requirements:

· Degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Molecular Biotechnology or related field.

· At least 1-2 years of working experience in a related field is preferred but not necessary. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures. Experience in one of the assays listed in the job scope of Pharmacokinetics: Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at:
http://chugai-pharmabody.com/

We regret that only short-listed 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

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

A Research Assistant position is available in the Single-Molecule Biophysics Lab at the Mechanobiology Institute. The Research Assistant will assist in the research of the team by contributing to building and maintaining magnetic tweezers instruments and training other group members to use them. He or she will also share the workload of single-molecule manipulation experiments. Primary responsibilities will include:

• Building, testing, and maintaining magnetic tweezers instrument
• Share workload on single-molecule studies of mechanosensing proteins

Qualifications

1. Minimal Bachelor’s degree, college background in Physics;
2. Capable of building fluorescence microscopes independently;
3. Extensive undergraduate research experience related microscope building and optics.
4. Skillful in Labview and MatLab programming.
5. Skillful in imaging analysis and imaging correlation analysis.
6. Experiences in DNA and protein biochemistry as well as single-molecule manipulation

Nanyang Environment and Water Research Institute, NTU is looking for a Research Fellow with expertise in heterogeneous catalysis to develop improved catalyst formulations for conversion of plastic waste into carbon nanotubes and hydrogen.

The project is funded by National Environment Agency, Singapore to address one of the largest problems in waste management – the problem of plastic waste pollution. A significant fraction of plastic waste has substandard quality for mechanical and chemical recycling even after sorting and cleaning. The Research Fellow will use pyrolysis-chemical vapor deposition (CVD) technology for converting these plastic waste streams (specifically, contaminated and rejected plastics) into multi-walled carbon nanotubes (MWCNTs) and hydrogen. The role of Research Fellow is to develop catalysts that will allow to reduce catalyst cost and increase carbon nanotubes yield to make the process more economically viable.

Key Responsibilities:

The candidate will be undertaking full research work and administrative duties during the term of employment within the following areas:

• Catalyst formulation and testing in pyrolysis-CVD process;
• Liaising with toll manufacturers regarding the feasibility of scaled up catalyst production.
• Cost-benefit analysis for the developed catalyst(s).
• Publishing research papers and documenting developed intellectual property. Reporting the progress to stakeholders (internal and external).

Job Requirements:

• Ph.D. degree in a field relevant to heterogeneous catalysis (e.g., Chemical Engineering, Materials Science, Environmental Engineering or other).
• PhD thesis or postdoctoral experience related to heterogeneous catalysis for at least one of the following areas: (a) catalytic waste conversion into carbon nanotubes and hydrogen, (b) catalytic single-walled and/or multi-walled carbon nanotube synthesis from any feedstocks.
• First-author publications in the areas mentioned above.
• High proficiency in English (e.g., TOELF, IELTS, GRE) for preparation of research papers
• Ability to prepare well-written technical reports and research papers.
• Ability to prepare decent quality presentation decks, figures and illustrations.
• Ability to build formal and informal partnerships and work collaboratively with others to meet shared objectives.
• Ability to consistently achieve results even under challenging circumstances and understanding what needs to be done to deliver the project.

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

Duke-NUS Medical School (Duke-NUS) was established through a landmark collaboration between two world-class institutions; Duke University and National University of Singapore, with the objective of providing innovative education and impactful research that enhance the practice of medicine in Singapore and beyond.

The Centre of Regulatory Excellence (CoRE) was established at Duke-NUS in 2014 with the mission of forming regional platforms and networks to grow competencies, build capacity and promote thought leadership in regulatory science and health policy in the Asia Pacific, with a focus on South-East Asia.

CoRE has established a strong and highly regarded education portfolio for industry professionals and regulators. The Centre also enables thought leadership and policy innovation in areas of health products regulation, and its expanded scope now includes issues related to global health, health policies and health system strengthening. Its key focus areas are digital health, vaccines & pandemic preparedness, advanced and innovative therapeutics, innovative clinical trials, and medical devices.

The roles and responsibilities of the successful candidate would include: -

• Contribute to the development and maintenance of training components including online courses, in collaboration with external technical experts.
• Engage network of experts locally and regionally, to ensure the accuracy and practical relevance of training courses.
• Ensure close alignment and consistency of training in support of the University’s pedagogy and maximising the learner’s engagement.

Qualifications

• Degree in Biomedical, Life Sciences or equivalent with minimum 2 years of knowledge, skills and expertise in the relevant field.
• Competent and experienced in developing and constructing training materials for tertiary education.
• Prior experience in regulatory affairs and knowledge of healthcare settings of the ASEAN region will be advantageous.

We regret 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

The National University of Singapore is seeking a Research Associate/Research Fellow (Research Manager) in the Centre for Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine. The centre aims to improve population health and well-being and healthcare delivery by accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension .

Purpose of the post

The successful hire is expected to lead and coordinate BISI's research initiatives. You will play a crucial role in shaping and executing our strategic research agenda, ensuring timely delivery of projects, and maintaining strong relationships with key stakeholders.

Main Duties and Responsibilities

• Contribute to the ongoing development and organise BISI’s research programme to support its strategic direction and mission.
• Lead the tracking, timely reporting and development of research budgets and individual projects, including existing grants and future funding bids, such that the research and project work can be delivered efficiently.
• Monitor research progress, and identify and implement project management interventions to keep research activities on track.
• Plan and monitor research design, data collection, data storage, documentation and reporting in line with the highest ethical standards and Institutional Review Board (IRB) requirements.
• Oversee project teams, staff allocation, budgeting and procurement processes to support programme productivity and continuity.
• Prepare and coordinate reports on programme progress for a variety of audiences.
• Regularly communicate with BISI management team and stakeholders, internal and external (e.g., relevant government ministries).

Qualifications

The candidate should possess:

• A Master’s or PhD in Psychology/Behavioural Science/Public Health or any discipline related to health or biomedical sciences.
• Minimum of five (5) years of project/programme management experience with the ability to juggle and complete multiple projects with diverse stakeholders within an academic or healthcare setting.
• Working knowledge in research ethics and HBRA is advantageous.
• Experience supporting the full cycle of Institutional Review Board activities, from application, management, documentation and reporting for studies involving human participants.
• Ability to write, edit, and produce reports and other formal documents of communication.
• Ability to produce, manage and understand financial documents, particularly in the context of research grants.

Qualifications

• Successful management and coordination of research staff, including research assistants, students and interns.
• Excellent organisation and problem-solving skills.
• Proficient in Microsoft Office programs (Word, Excel, PowerPoint and Outlook) and project management tools.
• Excellent command of spoken and written English.
• A team player with an ability to work independently.
• Highly motivated, proactive, and goal-oriented.
• Keen interest in the area of behavioural and implementation sciences for research translation and communication will be advantageous.

Application

What Being Successful in the Role Looks Like

The successful hire works closely, collaboratively and competently as part of an interdisciplinary team within BISI. He or she is excellent in writing and presentation and has exceptional grantsmanship and project management skills. He or she can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up BISI’s open and positive work culture.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Shao Chuen, at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret 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

National University of Singapore

Yong Loo Lin School of Medicine

Alice Lee Centre for Nursing Studies (ALCNS)

Research Assistant

Appointment period: 1 year in the first instance, with a possibility of extension up to 1 year.

Expected commencement of work: ASAP

Duties and Responsibilities

The appointee will assist the project leader with the following:

1. oversee the general management and assist in the administrative and secretarial support to project (e.g. organizing regular research meetings, meeting minutes recording);
2. assist in literature review and manuscript preparation;
3. conduct literature searches, using SPSS to enter data, analyze data and maintain trial databases, as well as assist in preparing both progress and final reports of the projects;
4. undertake the day to day running of the project at the study site (such as assist in ethical application and amendment, recruitment, provision of intervention, and data collection in study sites);
5. maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. work on other tasks as assigned.

Qualifications

The applicant should:

1. have a degree in nursing/psychology/public health or related disciplines;
2. experience working with research project management or having a honors degree will be preferred;
3. experience in conducting interventional research;
4. be able to work independently and with a team, have an investigative nature and attention to detail;
5. have knowledge of computer applications (such as SPSS and MS Office, PowerPoint); and
6. have good communication skills with patients and colleagues, and fluency in English.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and interventional research.

Formal application:

Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

• Company: Investment (Sustainability/ Agri-Food Tech)
• Location: Buona Vista (Nearest MRT)
• AWS + Variable Bonus (2 to 3 months on average)
• Work from Home (2 to 3 days per week, after probation)
• Training provided for entry level candidate

Job Description:

This company, headquartered in Japan, has been conducting business exploration to create new businesses in Singapore. They are looking for a Marketing Research Executive in the open innovation and food tech area etc, from research and analysis of start-ups to business proposals.

• Research & analysis of market/technology trends related to business development in the Asia region (agri-food tech etc.). (including participation in exhibitions and reporting to the head office in Japan)
• Hearing and research of trend of potential partners (government-affiliated organizations, universities and startups), and business proposal.
• Research to create new business and values, analyze, devise issues, and propose business models.
• Relation building related to ecosystem (Management and planning event / SNS)
• Make reservations such as hotel and pick-up arrangements for Japanese people who come to Singapore for business trip. Support them when they need support.
• Other ad-hoc duties assigned.

Job Requirements:

• Able to make materials by using Excel, PowerPoint, and Word.
• Experience of market and consumer research and analyze is required.
• Proficiency in Japanese language is required to make materials and reports in Japanese to HQ in Japan.
• Interest in areas such as open innovation, agri-food tech and healthcare.
• Comfortable to travel overseas for attending exhibitions

Interested applicants please apply directly for further shortlisting review.

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The Research Fellow responsible for performing intelligent visual signal processing/compression/computing.

Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed

Key Responsibilities:

• To perform the pioneer research in exploring visual signal representation towards machine uses.
• To perform systematic investigation into the characteristics of visual signal representation for machine uses, to meet the emerging requirements for AI.
• To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses.
• To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization.
• To formulate a comprehensive visual feature codec for machine uses.
• To set up and analyze experiments and datasets under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of reports/papers and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students

Job Requirements:

• Possess a PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good experience and track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis.
• Prior research experience and track record in R&D and standardization.
• Prior experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, C, Matlab, …)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

Professor John Chambers is the Toh Kian Chui Professor of Cardiovascular Epidemiology and Programme Director of the Population and Global Health Research Programme at Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University. He is also the Chief Scientific Officer for the National Precision Medicine Programme. His research programme aims to identify the molecular mechanisms underlying diabetes and premature cardiovascular disease in Asian populations, and to translate these findings into new approaches for improved prevention and early detection of these major chronic diseases.

His research team is hiring a Research Assistant to provide research support to his research programme to develop stratified approaches for health promotion and therapeutic intervention, in particularly for type 2 diabetes (T2D) and cardiovascular disease (CVD).

Key Responsibilities:

• Reading / Quality check of the Carotid artery intima media thickness (CIMT) measurements and / or retinal images based on a given protocol.
• Generate reports on the findings. Able to handle, escalate and report incidental findings to study PIs.
• Assess and give suggestions to improve measurements and / or images quality. Keep inventory of measurements and / or images.
• Maintain accurate and complete documentation / records of all readings performed and strategies undertaken to improve the measurements and / or images.
• Contribute to the production of research reports and/or publications.
• Assist in co-ordination of project-related meetings, taking down summary of meeting, etc.
• Undertake any other duties relevant to the programme of research.

Key Competencies and Requirements:

• Bachelor’s degree in biomedical sciences, biotechnology or related fields
• Skills in using statistical and / or bioinformatics software, Microsoft software will be advantageous.
• Excellent trouble shooting, organization skills, and problem solving skills are also required as well as the ability to work in a team environment.
• Highly motivated, reliable and creative. Possess the ability to work independently and effectively with research details. Willing to learn new things.
• Have strong organizational and effective communication skills.
• Self-motivated and pro-active attitude.

Salary will commensurate with qualifications and experience. Interested applicants should also provider names of 2 referees, together with their application.

Lee Kong Chian School of Medicine (LKCMedicine) is recruiting a Research Fellow specialising in the field of digital health and health education in Professor Jennifer Cleland’s group. LKCMedicine is a joint medical school between Nanyang Technological University (NTU) and Imperial College London.

As a Research Fellow, you will play a pivotal role bringing expertise in digital health and health education, working closely under the guidance of Professor Cleland. The role involves providing crucial support to Professor Cleland, who leads the World Health Organization Collaborating Center (WHOCC) for Digital Health and Health Education. The role will involve conducting evidence synthesis using various methods (quantitative, qualitative, mixed methods) for systematic reviews. The applicant will collaborate with a multidisciplinary team of systematic reviewers to evaluate evidence on digital health and health education topics. The impact of your contribution will directly contribute to the field of digital health and health education at the regional and international platforms.

Key Responsibilities:

• Perform extensive review for various types of deliverables (e.g., policy briefs, white papers, background papers, technical briefs, research protocols, peer-reviewed publications) on a wide range of digital heath and health education policy topics.
• Search and assess potential sources of qualitative and quantitative data, evidence, and information that are suitable for addressing project questions and objectives.
• Analyse and interpret data from diverse sources.
• Simplify and communicate complex information from various inputs into clear and accessible written materials for different audiences.
• Prepare written and/or oral reports and analyses to present findings.
• Produce high-quality written work products and deliverables.
• Organise, implement, and coordinate activities to execute assigned tasks and projects.
• Coordinate project activities and logistics with stakeholders, industry representatives, and policy professionals as needed to support project execution, data collection, and/or dissemination of results.
• Prepare internal briefing and or meeting materials on assigned projects.
• Support Principal Investigator in drafting presentations, speaking points, and visualisation aids.
• Foster strong and supportive working relationships across the project team(s) and Centre.

Key Competencies and Requirements:

• PhD in Health Policy, Public Health, Public Administration, Epidemiology, Nursing, Biostatistics, Social Sciences or a related discipline.
• Proficiency in medical terminology, evidence-based medicine and the utilisation of epidemiologic principles in guideline formulation.
• Background in crafting and executing diverse types of evidence synthesis, encompassing scoping reviews, systematic reviews, integrative reviews, etc.
• Proven track record in peer-reviewed publications, with experience as lead/first author.
• Demonstrated success of project implementation and management.
• Experience in research grant application, grant reporting, and research agreements management.
• Experience in supervising for junior researchers and/or students.
• Strong ability to integrate knowledge from diverse disciplines for comprehensive evidence synthesis.
• Effective verbal and written communication skills, especially in translating complex findings for varied audiences.
• Organised, detail-oriented, meticulous, and proficient in handling data.
• Responsible and takes ownership of assigned tasks.
• Proficient in ensuring adherence to institutional guidelines, policies and regulatory requirements throughout project lifecycle.
• Highly motivated and able to work independently, as well as collaboratively in a diverse and interdisciplinary team.
• Effective computer and technology literacy.
• A willingness to take new projects as they arise.

Job Scope:

a) Provide support to teachers in teaching and learning

b) Assist in the preparation of apparatus, equipment and reagents for laboratory lessons

c) Maintain general cleanliness of equipment and workplace

d) Simple administrative and office work as and when request

e) Any other duties assigned by Science HOD or School

Requirements:

• Candidate to preferably possess at least a GCE “O” Level qualification

• Good interpersonal and communication skills

• Ability to multitask, work both independently and as a team

• Prefer candidates to have at least 3 years of working experience as a Science Laboratory Assistant

• Preferably first aid trained

• Preferably competent in MS Office

Working Arrangement:

Monday to Thursday: 7.15. am – 4.45pm

Friday: 7.15am – 4.15pm

Service not required on Saturdays, Sundays and gazetted public holidays

Contract Period: From 1 Jan 2025 to 31 Dec 2026

Salary: $2000 to $2200/month

EA License No: 96C4864

Reg. No.: R24121728

• Capable to teach any subjects combination such as Hindi and Science, and competent to teach Hindi in Primary 1 to 5 Cambridge curriculum for students aged 5 to 10 and Lower Secondary 6 to 8 levels.
• Experienced in teaching Hindi in MOE schools, preferred.
• Will sit as an Advisory Teacher and Subject Teacher for other grades.
• Dynamic and able to teach with expertise in Cambridge/IB curriculum (with mastery in either Sciene or Hindi modules)
• With prior experience in teaching Science subject under Cambridge curriculum.
• Knowledge to teach Hindi as second language in Cambridge Curriculum is preferred.
• Organising the classroom and learning resources and creating displays to encourage a positive learning environment.
• Planning, preparing, and presenting differentiated lessons that cater the needs of the whole ability range within their class.
• Motivating students with enthusiastic, imaginative class activities.
• Maintaining student attendance records.
• Preparing, marking, and providing feedback to facilitate positive student development.
• Meeting requirements for the assessment. Records, evaluates, and reports student’s development.
• Providing feedback to parents on students progress.
  Working collaboratively with others to plan and coordinate work.
  Organising and taking part for school events, outings, and activities.
• Undertake special assignments, ad-hoc functions, and related duties as and when required.

Education requirement:

• Possess a minimum educational certificate in Bachelor’s Degree in Education/Teaching or equivalent.
• At least 3 year(s) of relevant teaching experience in schools, of which at least have 1 year teaching experience in any Singapore schools.
• With Pedagogical Certification Qualifications ie., CICTL
• Exposure in other international curriculum such as Cambridge/IB PYP MYP DIP/IGCSE/CBSE/ICSE would be an added advantage.
• Who can teach and conversant in Hindi as second language is a must.

Staff Welfare:

- 5 days a week from 9AM to 3:30PM. Wed - 9AM to 5:30PM

- With Medical Insurance - Hospitalisation, Surgical, AED, and no limit for OutPatient Care

- With Dental Allowance

- With Emergency Leave Credits

- With full month salary during school vacations and term breaks

- Caring and supportive school environment

- Annual salary increment review

We will contact only the shortlisted candidates.

Company background

Keystone’s mission is to be a leading asset management firm that helps our clients realise their investment goals. To achieve excellence, we have created a world-class team by actively recruiting the most talented and experienced personnel. Founded in 2021, Keystone is headquartered in Singapore.

Job responsibility & requirements

• 5 years of relevant buyer or seller experience, the core requirement is to be persistent in details, but with a view of the overall situation. Work location in Singapore. Covering the entire Asia-Pacific and global related industry groups and companies. Look for long and short opportunities.
• Covering research analysts across sector teams but with a Japan/Korea focus: tracking market changes in the industrial chain, order trends, and detailed explanations of industry company model data
• Studying consumer behavior patterns within the healthcare industry, including preferences, purchasing habits, and decision-making processes. Analyzing demographic data and psychographic information to understand consumer motivations and needs.
• Keeping abreast of current and emerging trends in the healthcare sector, including technological advancements, regulatory changes, and healthcare policy developments. Forecasting future trends and their potential impact on consumer behavior and market dynamics.
• Interpreting complex data sets related to healthcare and consumer research, using statistical analysis and data visualization tools. Creating detailed reports and presentations that communicate findings, insights, and recommendations to stakeholders and decision-makers.

Work Location

10 Collyer Quay

#24-06/07 Ocean Financial Centre

Singapore 049315

• Salary: $5,000 or above
• Working hours : To be discuss during interview
• Location: Ho Chi Minh, Vietnam

Key Responsibilities:

• Plan, prepare, and deliver engaging and effective math lessons that cater to the needs of students at Primary, Secondary, JC, and IB levels.
• Assess and evaluate students’ progress and provide timely feedback to help them improve.
• Develop and use instructional materials suitable for various educational stages and learning abilities.
• Maintain accurate records of students’ progress and development.
• Communicate regularly with parents and guardians regarding students’ progress and potential areas for improvement.
• Stay updated with the latest educational trends and methods in mathematics education.
• Encourage a positive learning environment that motivates and challenges students to excel in mathematics.
• Offer extra help with day-to-day and long-term assignments to ensure students meet course requirements.

Requirements:

• Bachelor’s Degree in Mathematics, Science, or a related field from a recognized university.
• Proven experience in teaching Mathematics and Science subjects at the secondary level; experience with Singapore curriculum and/or IB programs is highly preferred.

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Kids DiscoveryWorks offers exciting STEM (Science, Technology, Engineering and Math) enrichment programs to pre-school and primary-school children (K-6). Our innovative curriculum and teaching methodology emphasizes hands-on experiential learning through a blend of fun experiments and learning games, and unique Makerspace projects. We inspire children to build on their natural curiosity through engaging learning activities that encourage collaborative problem-solving, discovery and exploratory learning.

We are currently seeking enthusiastic, energetic and creative individuals to work as:

• Lead Instructors
• Assistant Instructors

Duties & Responsibilities:

• Inspire curiosity and excitement about science and engineering, using our unique STEM curriculum to introduce students to grade-appropriate STEM concepts. Conduct lessons, and facilitate and coach students through STEM activities and experiments to create effective learning experiences.
• Work as a team with other instructors and co-workers to provide a safe and exciting learning environment for students, and ensure successful program implementation and continuous improvement.
• Monitor and observe each child’s learning progress, providing feedback to both curriculum developers and parents.
• Build good rapport with parents and students.
• Ensure good classroom management. Help maintain the good order and hygiene of our centres and classrooms.

Requirements:

• A passion for engaging children in learning
• Excellent organizational, communication and facilitation skills. Must be detail-oriented, reliable and comfortable with public speaking.
• A positive working attitude and out-going disposition.
• Proficiency with Microsoft PowerPoint, Excel, and Word.
• Prior working experience with children would be a strong advantage.
• Experienced teachers with relevant teaching qualifications welcome as Lead Instructors. Graduates (any degree) or students currently pursuing their degrees or diplomas in relevant fields welcome as Assistant Instructors. Training will be provided.
• Remuneration commensurate with experience.

Interested candidates please submit a detailed resume stating current and expected salaries to [email protected]

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• At least 5 years of relevant experience
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

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.

About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• Preferably with at least 3 - 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

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.

School of Art, Design and Media is looking for a candidate to join them as a Research Associate.

This is a unique opportunity to engage in cutting-edge research that blends art, technology, and cultural exploration, shaping the future of immersive storytelling. We are offering an exceptional opportunity for an individual who is passionate about urban research, local communities and discovering new sites in Singapore.

Key Responsibilities:

• Project coordination and organization
• Conduct thorough data collection through various research methods.
• Coordinate and organize field research activities.
• Ensure efficient communication and collaboration among team members.
• Field Research and Location Scouting in Singapore
• Collaborate with team members to prepare and organize workshops.
• Overseeing the Recording of Interviews

Job Requirements:

• Master's degree in a relevant field.
• Previous experience in research, data collection, and analysis.
• Strong organizational and coordination skills.
• Excellent communication and teamwork abilities.
• Familiarity with workshop preparation and facilitation.
• Proficient in recording and documenting research interviews.
• Familiar with local communities and sites in Singapore

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

The Laboratory for RNA Delivery Therapeutics @ NTU

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof Mary Chan-Park team. Prof Mary Chan-Park and her team have recently won a highly competitive large grant on the design, synthesis and studies of the improved RNA delivery vehicles.

Prof Mary Chan-Park is currently the Centre Director of the Centre for RNA Delivery Therapeutics. She is also the current President Chair Professor of Chemistry, Chemical Engineering and Biotechnology (2024 onwards) and the 2019 Board of Trustees Chaired Professor of Chemical and Biomedical Engineering (2019-2024), both at the Nanyang Technological University Singapore (NTU Singapore). She also holds a joint appointment at the Lee Kong Chian School of Medicine at NTU. She is the Director of the Centre for Antimicrobial Bioengineering and the Director of the NTU Laboratory for RNA Delivery Therapeutics. She is a Fellow of the America Institute of Medical and Biological Engineering.

The Research Fellow will take on a significant role to design and synthesize new lipids or polymers that are stimuli-responsive and suitable for nanoparticle delivery formulations. New alternative delivery vehicles for the promising RNA nanomedicine are urgently needed to replace the current ones to achieve great delivery efficacy with less side effects. We have shown that some polymeric or lipid nanoparticles are excellent candidates as delivery agents.

Key Responsibilities:

• Design and synthesize novel stimuli-responsive lipids or polymers for RNA delivery formulations to achieve efficient transfection and endosomal escape.
• Develop cationic or ionizable lipids or polymers for RNA delivery applications.
• Collaborate with team members to formulate lipids/polymers with RNA for transfection experiments.
• Measure and evaluate transfection efficiency, endosomal escape efficiency, and other particle properties.

Job Requirements:

• PhD in Chemistry, Chemical Engineering, Materials Science, or related field
• At least 5 years of relevant experience in lipid/polymer synthesis and design for stimuli-responsive nanoparticle delivery, particularly RNA delivery formulations.
• Familiarity with advanced lipid/polymer design for RNA delivery and nanoparticle formulations (e.g., classical LNPs and top research groups).
• Strong written and oral communication skills.
• Proficiency in lipid/polymer synthesis is essential.
• Competence in technical communication and leadership, including supervising junior researchers (e.g., PhD students).
• Strong interpersonal skills, with the ability to work independently, meet deadlines, and manage time effectively.
• Entry-level PhD graduates are welcome to apply. Recent PhD graduates in chemistry, chemical engineering, materials science, and engineering or related fields with knowledge in organic or polymer synthesis are strongly encouraged to apply or inquire.

We regret that only shortlisted candidates will be notified.

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

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.