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 openings for talented scientists who are ready to take up a leadership role in our group and to spearhead new initiatives and provide supervision and guidance to junior members of the team.

You will be part of a well-funded initiative to create quantum networks of superconducting circuits mediated by telecom photons. Your job could include the following subjects:

• Leading the design and fabrication of superconducting qubits that resist to moderate magnetic fields
• Spearheading the development and fabrication of chips that combine superconducting circuits and integrated photonics
• Exploring novel fabrication methods to couple rare-earth ions in solid-state with integrated optics and superconducting circuits
• Measuring quantum correlations between microwave photons at cryogenic temperature and telecom photons at room temperature

You will also work closely with the Principal Investigator to develop future experimental goals and shape the general research direction of the group. There will also be ample opportunity to explore your own ideas and participate in grant-writing processes. We aim to provide you a challenging and supportive environment to perfect your research leadership skills and get ready for your next career step!

ABOUT THE GROUP

Qove Laboratory is led by Assistant Professor Steven Touzard and located at the National University of Singapore. The lab is funded by the prestigious NRF Fellowship. Our group works on a large range of quantum technologies, with currently an emphasis on remotely entangling superconducting qubits with telecom photons to form long-range quantum networks.

To know more, go to https://qovelab.com

Qualifications

Postdoc applicants should have proven research experience and have a strong interest in quantum technologies. Furthermore, a PhD in Experimental Physics or Engineering is required, as well as knowledge on quantum optics measurement, optical fiber equipment, as well as cryogenic equipment. Ideally you received your PhD working on superconducting circuits, spin defects in solid-state, integrated optics or quantum optics experiments.

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.

Research Fellow

We are seeking to recruit a Postdoctoral Fellow (Research Fellow). A person with background in molecular biology, cell culture, imaging and data analysis (including modelling and python programming) and has theoretical background on actin are encouraged to apply.

The MBI and NUS provide state-of-the-art facilities dedicated to microfluidics, high-resolution imaging, and cell culture that will support the fellow in training, setup, and execution of the project, and the successful candidate will have the opportunity to work closely with talented and motivated research staff, interdisciplinary PIs, and clinician scientists.

Qualifications

1. PhD in molecular cell biology or relevant biomedical disciplines. Candidates in the process of completing their PhDs in the relevant disciplines may also apply.
2. Competence in molecular biology, biochemistry, cell culture, and confocal microscopy.
3. Experiece in image analysis, photomanipulation and bioinformatics are highly desired.
4. Excellent communication and organizational skills
5. Highly motivated to work both independently and as a team member

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Job Requirements

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

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 a motivated and skilled Research Fellow to contribute to cutting-edge research in the field of phage biology, focusing on bacteria from the human microbiome under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). The candidate will lead experimental phage projects, design and execute research strategies, and play a pivotal role in advancing the understanding of bacteriophage dynamics in human and environmental microbiomes.

Key Responsibilities:

• Lead research projects focusing on phages targeting bacteria within the human microbiome.
• Develop, implement, and manage experimental plans under the guidance of the Principal Investigator.
• Conduct molecular microbiology experiments, analyze data, and troubleshoot experimental issues.
• Prepare progress reports, present findings in lab meetings, and contribute to research discussions.
• Write, edit, and submit high-quality manuscripts for peer-reviewed publication.

Qualifications

Education: Ph.D. in Molecular Microbiology, Microbial Ecology, or a closely related field, with a strong emphasis on phage research.

Technical Expertise:

• Hands-on experience in phage research, including phenotypic analysis, sequencing, and genomic studies.
• Proficiency in molecular microbiology techniques, such as DNA/RNA extraction, PCR, cloning, and bacterial culture.

Research Skills:

• Familiarity with experimental evolution studies and genomic taxonomy.
• Experience with bioinformatics tools for sequencing data analysis is an advantage.

Professional Attributes:

• Highly organized, detail-oriented, and capable of managing multiple projects.
• Demonstrates independent judgment, strong problem-solving skills, and the ability to deliver quality work within tight deadlines.
• Excellent teamwork and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary research environment.

Job Description

This is a full-time on-site role for a Research and Development Manager at Coval Technologies in Singapore. The Research and Development Manager will be responsible for leading R&D projects, managing research teams, and overseeing project execution. They will provide team leadership and contribute to the development of innovative nano coating technologies.

Qualifications

• A minimum of 10 years' experience with track record in formulating / developing new coating products with commercial release.
• Experience working with solvent-based paint chemistry
• Leadership abilities
• Experience in paint additive chemistry
• Project Management expertise
• Experience in industrial coating performance standards such as ISO, ASTM., etc.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to drive innovation and creativity in a team setting
• Experience in nanotechnology or surface coatings is a plus
• Advanced degree in Chemistry, Materials Science, or related field preferred

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor John S. Ascher on environmental modeling of mosquito vectors and stinging wasps and bees and other insects of importance for public and environmental health under the CNRS@CREATE, SPACE project.

The main responsibilities of the position include:

Working with the appointment PI to validate as fit for use an existing specimen and community science dataset of insects of importance for public and environmental health, especially mosquitoes and stinging wasps. The appointee will then conduct species distribution modeling based on an existing pipeline already established for bee research and documented in a publication. The candidate will start with highest priority mosquito species such as Aedes albopictus and other well known species of public health importance will move on to other species as time allows.

Qualifications

MSc or equivalent level qualification in Biological Sciences required.

Skills:

The candidate must be familiar with environmental modelling and SDMs using software such as R and MaxEnt. Preferably this includes ability to address spatial biases.

Experience:

Experience with entomology, specimen and other databases, and coding in R for environmental modelling desirable.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/she will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

• The research fellow should have a PhD degree in a relevant field, with experience in the following areas:

- 3D concrete printing;

- Laboratory ballistic tests;

- Design of blast tests for concrete specimens;

- FE simulations of blast loading on concrete structures.

• Strong written and spoken communications and able to present results.
• Open to fixed-term contract.

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 Research Engineer will be involved in developing computer models for assessing climate change impacts on marine ecosystems. He/she will also be involved in collecting field data for calibrating and validating model systems. In addition to the above, the Research Engineer is expected to also participate actively in research meetings, present research findings, write reports and research papers.

Job Requirements

• Possess at least a good Bachelor’s degree in Civil and/or Environmental Engineering or equivalent.
• Experience in computational modelling in environmental engineering or climate change is preferred.
• Open to fixed term contract

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

• Robust perception, planning, and control for field robots
• Simultaneous localization and mapping
• Experimental robotics
• Novel mechanism synthesis and analysis
• Electromechanical system design experience is strongly preferred

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability .
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively communicate ideas and take constructive criticism
• Able to effectively work in a multi-disciplinary team and with third-party vendors

The position requires a B.Eng/M.Eng./M.Sc. in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

Job Description:

Be part of an exciting Team working on cutting-edge advanced packaging process technologies. Partner and work with various FAB users, to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to make sure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, and professional individual.
• Oversee the Team spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings, raise purchase requests accordingly.
• Take charge and provide day to day supports in all logistics needs and initiate material/spare parts procurement when required to ensure smooth Fab operations.
• Accountable for the inventory movements required to enable smooth lot operations across IME Premises.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time.
• Work seamlessly with various stakeholders to provide logistics support and deliver inventory on time.
• Work towards and employ critical thinking, put-up good initiatives to move forward to digitalization.
• Ability to work in a multi-task environment.

Experience:

• Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.
• At least 2 years of warehouse operations.
• Preferably some experience in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.

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 Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is seeking a research fellow (RF) for the various projects on chronic disease. The successful applicant will have a strong foundation in epidemiology and quantitative methods, show good initiative in troubleshooting tasks and have excellent communication skills.

The RF will play an important role in the conduct of current research projects on diabetes epidemiology, care and outcomes. In addition, successful candidates will be expected to support the preparation of new grant proposals. The RF will also be expected to work independently, while working in a team-based setting.

Responsibilities:

• Conduct and coordinate clinical or epidemiologic research under the direction and supervision of the Principal Investigator and Collaborators, including preparing applications for ethical approval, data collection and management, and quality assurance
• Manage these research projects in a team-based, cross functional research environment, which include supervising/ mentoring junior research staff and research students
• Undertake necessary statistical analysis, including advanced modelling techniques, to interrogate the data
• Draft research reports and manuscripts for scientific sharing and publication
• Support the preparation of new grant proposals
• Attend project meetings and to participate (where necessary) in other meetings
• Ensure compliance with health, safety and ethical guidelines in all aspects of work
• Undertake any other specific roles and management functions as may be reasonably required by the Principal Investigator

Requirements:

• PhD Degree in public health, epidemiology, biostatistics, health services research, health information science or related fields.
• Proficiency in English is a must as the candidate will be required to write scientific papers for publication in international peer reviewed journals and present work undertaken to a technical audience.
• Track record of publications in international peer reviewed journals
• Proficiency in the use of statistical software (Stata and R)
• Expertise in epidemiological and statistical analysis techniques, including joint modelling for time to event analysis and Markov modelling
• Ability to work independently as well as in a team-based, cross functional research environment
• Self-motivated, independent learner and detail-oriented
• Good project management skills

Recruitment is open immediately. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

To apply, please submit the following documents:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of two named referees

Please note that only shortlisted candidates will be contacted.

The SingHealth Duke-NUS Global Health Institute (“SDGHI”) is a platform for global health activities across the SingHealth Duke-NUS Academic Medical Centre (“AMC”). The Institute aims to address current and emerging health challenges across Asia. Working in collaboration with partners, the Institute seeks to tackle prevalent health challenges, strengthen health systems and better insulate countries from pandemics and disease threats.

The Planetary Health Initiative is SDGHI’s newest strategic initiative. Planetary health pertains to the integrated state of health of both people and the planet. It recognizes that people’s health is now greatly shaped by human-driven global environmental change, such as climate change, environmental pollution, rapid urbanisation, biodiversity loss, among others. Addressing these interlocking challenges requires concerted actions within and beyond the health sector, spanning diverse disciplines and nations.

During the Initiative’s inaugural phase, the Institute will focus on launching new educational and capacity-building activities, conducting landscape analysis of the current state of play especially at the regional level, exploring research collaborations with other planetary health-oriented groups within Singapore and beyond, and implementing policy influencing and advocacy activities – all geared towards positioning the Institute as an emerging thought leader in planetary health in Asia and beyond.

The Research Fellow will be part of the Initiative’s inaugural team and will significantly contribute to the early development of the Institute’s planetary health portfolio. The selected candidate will perform a variety of research activities which include planning, organising, and conducting research studies, including but not limited to the following:

• Independently carry out the design and execution of research projects.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research.
• Provide support for external grant/protocol development, study design, ethics review application, and other research management activities.
• Contribute to other activities of the Planetary Health Initiative related to education, capacity building, innovation, policy advocacy, etc.
• Provide guidance and mentorship to undergraduate/medical students and research assistants.
• Perform duties related to the activities of the Planetary Health Initiative (such as advocacy, policy engagement, etc.).

Job Requirements:

• PhD in relevant fields such as public health, health systems, sustainable development, social sciences, among others, AND/OR post-graduate medical degree.
• Minimum with at least 2 years’ of relevant research experience and training. MD/MBBS graduates with a relevant Master’s degree may also be considered.
• Possess advanced knowledge of specific planetary health topics/issues of interest, as well as wide familiarity about the evolving planetary health field, including principles, frameworks, issues, emerging discourse, and policy developments
• Proficiency in research design and execution, preferably in conducting mixed-methods research(both quantitative and qualitative)
• Demonstrated capability of research independence growing progressively.
• Have strong writing and critical thinking skills, as well as good communication and presentation skills, which can be demonstrated through research publications in high impact journals, commentaries and blogs, conference presentations, and speaking engagements.
• Possess strong interpersonal and relationship-building skills which are vital for engagement with partners, collaborators, funders, and other external stakeholders.
• An emerging leader, team player, and project manager who can supervise and mentor junior colleagues; prioritize, multi-task and work collaboratively in a diverse workforce; and coordinate multiple projects and activities.

We regret that only shortlisted candidates will be notified.

The SingHealth Duke-NUS Global Health Institute (“SDGHI”) is a platform for global health activities across the SingHealth Duke-NUS Academic Medical Centre (“AMC”). The Institute aims to address current and emerging health challenges across Asia. Working in collaboration with partners, the Institute seeks to tackle prevalent health challenges, strengthen health systems and better insulate countries from pandemics and disease threats.

The Global Health Systems Research Unit is a new and dynamic unit focused on elucidating health system challenges and developing solutions. It collaborates with partners in Singapore and across Asia, generating evidence that drives intervention programmes across the AMC. The unit explores innovative ways to work with data, including testing AI tools for efficient management, analysis, synthesis, and visualisation of research data.

The Research Associate will play a dual role, supporting both SDGHI’s Global Health Systems and the SingHealth Centre for Person-Centred Care (CPCC). The ideal candidate will report to the SDGHI Clinical Core and work closely with the team at CPCC to contribute to projects that improve health equity and access in Singapore and across Asia.

Key Responsibilities

• Contribute to a wide range of health systems and services research programmes, including health systems analysis, policy analysis, and evaluation of person-centric initiatives.
• Develop and validate new measures of patient-reported experience and health systems and services frameworks.
• Conduct ethnographic and qualitative research, utilising participatory approaches to health systems and services research.
• Implement advanced data tools for efficient management, analysis, synthesis, and visualisation of health systems data, ensuring accuracy.
• Assist with project management, coordinating effectively among diverse stakeholders within SingHealth Duke-NUS AMC and external partners (including overseas) to achieve project goals.
• Write research manuscripts, case studies, reports, presentations to academic audiences, funders, and other stakeholders.

Job Requirements:

• Master’s Degree in Public or Global Health, Social Sciences, or a field relevant to health systems and services research.
• Minimum 3 years of professional experience in health and social systems research.
• Demonstrated proficiency in both qualitative and quantitative research methods, with experience in ethnographic and participatory approaches. Prior experience in behavioural economics is highly advantageous.
• Possess excellent academic writing and presentation skills.
• Experience in leveraging AI tools for quantitative and qualitative data synthesis and analysis is highly advantageous.
• Possess a growth mindset and can manage multiple projects with dynamic reporting lines and multiple stakeholders.
• Embrace a decolonising mindset and the principles of equity, diversity, and inclusion.
• Available for regional travel.

We regret that only shortlisted candidates will be notified.

Job description: Research Scientist, Chemical Development: Linker-payload synthesis for Antibody Drug Conjugates (ADCs):

• Engage in groundbreaking research and development in the field of synthetic organic chemistry, peptide chemistry.
• Investigate and explore new ideas and concepts by defining experiments in order to verify proof of principle.
• Collaborate with biologists constantly to develop novel linker-payloads for next generation Antibody-Drug Conjugates
• Collaborate closely with project team members and other cross-functional groups in the organization.
• Submit and present project updates and reports in verbal and written formats.
• Write invention disclosures and possible patent applications.
• Manage and prioritize daily assignments to ensure timely completion.
• Attend and participate in scheduled planning meetings and/or status meetings.
• Manage and maintain required reagents, laboratory environment, and equipment needed to carry out assignments.
• Adhere to safety and regulatory requirements
• Transfer new products from R&D to Manufacturing.
• Responsible for sustaining products to address customer needs
• Writing SOP and work instruction according to Quality management standards and requirements.
• Other opportunities may include possible contributions to scientific literature and presentations at conferences.

Requirements

• PhD in synthetic organic chemistry with 5 years relevant experience.
• R&D experience in multi-step small molecule synthesis, peptide synthesis
• Proficient in operating analytical equipment and applying analytical chemistry principles
• Experience with new product development is a plus
• Strong understanding of instrumentation principles and troubleshooting ability.
• Strong understanding of synthetic chemistry
• Strong understanding of Analytical chemistry principles
• Record of accomplishment should be demonstrated by publications or patents
• Demonstrated organizational skills with the ability to balance multiple tasks with different priorities
• Ability to make independent decisions and possess strong initiative
• Ability to dissect problems with strong analytical and critical thinking skills
• Ability to accurately plan, define, and manage projects tasks
• Must possess excellent verbal and written communication skills.
• Capable of working with multi-disciplinary teams.

Purpose of the Role:

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

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

Job Responsibilities:

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

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

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

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

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

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

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

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

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

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

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

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

Job Requirements:

· Degree qualified.

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

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

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

· Extensive experience in conducting research to prepare sound recommendations.

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

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

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

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

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

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

Working Days & Hours: 5 days across Monday – Sunday, Up to 44 hours per week. (11am - 8pm/ 12pm - 9pm)
Location: Newton/ Chinatown

Contract: yearly renewable based on business needs and individual performance

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Excellent customer service skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job...

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Job Description

• Develop, validate and perform bioassays and bioanalytical assays in compliance with FDA/EMA and GLP guidelines
• Refine current method in response to changing requirements of drug development
• Prepare study plan and study data of assays performed
• Analyse and present data/results
• Document work, results, analyses and findings in laboratory notebooks or study folders as appropriate according to workflow
• Draft SOPs and study reports
• Perform literature review for various drug pipelines and assays as required
• Meet project milestones with set quality
• Ensure scientific integrity of studies conducted and reports submitted

Requirements

• BSc or MSc in biomedical science, life science or equivalent
• Prior research and development experience are required
• Proficient in mammalian cell culture and aseptic techniques is a must
• Experience in ligand binding assays mainly ELISA, cell-based assays, SDS-PAGE, western blot and reporter assays is highly desirable
• Good knowledge of cell based (potency) or ligand binding assays required in drug development process
• Proficient with office software (MS office, Teams), and familiar with statistical tools (Graphpad Prism, XLSTAT or PLA)
• Knowledge of bioassays, bioanalytics and its method validation, GLP and ISO17025 is a plus
• Good written and verbal communication skills
• Superior problem solving and troubleshooting skills, attention to details
• Good interpersonal skills

Job Description

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, and a focus is on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

• Perform data management including data cleaning, quality and consistency checks, and preparation of codebooks.
• Work with other researchers on interpreting and analysing quantitative data.
• Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
• Conduct follow-up assessments of study participants over the phone.
• Support other project management tasks.
• Assist with other initiatives at CARE where required.

Job Requirements

• Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology, Social Work, or other related disciplines.
• Prior work experience in quantitative data analysis will be advantageous.
• Possess strong communication and interpersonal skills.
• Able to take initiatives to learn on the job and manage assigned tasks.
• Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.

Candidates with relevant work experience may be considered for a Research Assistant (Senior) position.

Please attach a cover letter and a CV, with names and contact information of 3 referees. Applications will be reviewed on a rolling basis. We regret that only shortlisted applicants will be notified.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Health Services and Systems Research (HSSR) Programme at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world. The selected candidate will work in Cardiovascular Health Research Services Unit established under the CArdiovascular DiseasE National Collaborative Enterprise (CADENCE) national clinical translational programme. They will perform a variety of activities relevant to the planned economic evaluations for health interventions and assist a team of health economists.

Job Description

• Perform data cleaning, handling and analysis
• Perform economic evaluations in healthcare (cost analysis, cost-effectiveness analysis, cost-utility analysis or budget impact analysis) with guidance
• Assist in drafting research abstracts and manuscripts
• Assist in preparation of PowerPoint presentations to various stakeholders
• Conduct literature reviews to evaluate the potential value of health innovations
• Assist in preparation of evaluation reports for the health economics team
• Extract data from existing databases and published literature
• Manage projects from start to end with guidance (i.e. Develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform statistical analysis and engage and collaborate with various stakeholders)
• Support secretariat and administrative functions pertaining to the health economics team at HSSR

Job Requirements

• Bachelor’s Degree in any discipline. Master’s Degree in Public Health is preferred.
• Minimum 3 years of working experience with quantitative data
• Adept at working with data, including processing raw data to visualise trends and deciphering patterns and ability to handle large data sets
• Experience in various quantitative research methods preferred.
• Experience or training in health economics will be beneficial.
• Experience with R programming language, and a willingness to learn more applications
• Excellent verbal and written communication and interpersonal skills
• Able to work in a team, with dynamic reporting lines and multiple stakeholders
• Able to work independently with limited supervision
• Action-oriented, highly motivated and target-focused

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- At least 3 years of working experience in research or with relevant working experiences;

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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

Research Fellow in Carbon-Negative Synthetic Biology and Engineering of Cyanobacterial Cell Factories

We are seeking one or more highly motivated and creative postdoctoral researchers to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).

The selected candidate(s) will be part of an interdisciplinary collaboration across various research groups. Appointments will be initially made on a 1-year contract, with the possibility of extension. We welcome applications from PhD holders, including those without prior experience.

Ideal candidates will possess expertise in cyanobacteria engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in carbon-negative synthetic biology and biochemical production from CO2. The successful candidate(s) will closely collaborate with Prof. Jee Loon Foo, Prof. Julius Fredens, and our research team to advance the frontier of synthetic biology in addressing real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Duties and Responsibilities

The Research Fellow is expected to:

1. Manage and drive one or more research projects, design and execute experiments, assimilate and interpret results;
2. Solve scientific problems, think independently, and suggest creative solutions;
3. Write papers together with the PI for publication in high-impact journals;
4. Mentor graduate and undergraduate students.

Qualifications

The applicant should:

• Hold a PhD degree in molecular biology, bioengineering, or a related field;
• Have experience conducting research with cyanobacteria and extensive knowledge and hands-on experience with general molecular biology. Experience with genome engineering, general microbiology, and metabolite analysis is favourable;
• Have a strong record of publications in international journals;
• Be able to work independently and in a team, have an investigative nature, and be attentive to details;
• Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising obstacles.

Application

Formal application: Please submit your application of (1) letter of motivation describing the applicant's research interests and relevant experience; and (2) full CV (up to two pages) including personal particulars, academic and employment history, complete list of publications, and contact of 2 referees by 30 May 2024.

Application

Remuneration will be commensurate with the candidate's qualifications and experience. Appointments will be on a 1-year contract in the first instance, with the possibility of extension. Those with no experience are encouraged to apply.

Informal enquiries are welcome and should be made to Asst. Prof. Julius Fredens ([email protected]). Website: https://syncti.org/

Job Description

Chronic unresolved inflammation is a key pathogenic feature of prevalent inflammatory disorders and related syndromes that together are predicted to affect close to 60 million people with an annual cost of $90B. As such, the global anti-inflammatory therapeutic market is in urgent need for new targets for therapeutic intervention.

The Ho lab at Duke-NUS is building a platform to mine the human genome for novel determinants of the inflammatory response. We are seeking an experienced researcher who will participate and drive the execution of this platform in collaboration with other senior members of the team. The selected candidate will be expected to work at the bench as well as manage some aspects of the project such as administration of documentation required for smooth operations. Successful completion of the project will lead to opportunities for transition to industry roles. Candidates with strong technical ability and expertise in inflammation biology, and who are interested in taking discoveries from the lab through to commercialization are strongly encouraged to apply.

• Perform tasks and support all aspects of the research project.
• Cell culture and basic molecular biology (western blotting, PCR).
• Preparation of samples for NGS and proteomics analyses.
• Liaise with stakeholders including investors and grantors through regular meetings.
• Responsible for procurement related to the project such as vendor management, purchasing of laboratory supplies.
• Regulatory paperwork pertaining to the project (IRBs).
• Perform other related duties incidental to the work described therein.

Job Requirements

• Master’s Degree in Biology or related discipline. Candidates with PhD will be considered for Research Fellow appointment.
• At least 5 years of work experience in lab-based research.
• Track record of scientific output in inflammation biology (research publications).
• Demonstrated experience in molecular biology and cell culture.
• Experienced in project management and stakeholder management, and able to undertake independent research progressively.

We regret that only shortlisted candidates will be notified.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements:

• Bachelor’s or Master’s Degree in Public Health or other related fields.
• Minimum 1 year of working experience in Singapore’s healthcare setting
• Have experience with Singapore’s IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.