We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. At least 5 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

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

The NUS High School of Mathematics and Science is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position:

EDUCATION AND CAREER GUIDANCE (ECG) COUNSELLOR

You will help students discover their strengths, interests and aspirations, and develop future-readiness.

You will guide them in making informed plans and decisions for their education and career through individual and group counselling, coaching sessions and workshops.

You will also work closely with teachers, parents and other partners from relevant agencies and various industries to monitor developments and design appropriate guidance programme, e.g. ECG curriculum, and strengthen capacity of the school team.

You will also coach, advise and provide guidance on University and Scholarship plans and applications.

Requirements:

• At least a Bachelor’s degree from a reputable university.
• At least 5 years of working experience.
• Good industry knowledge and/ or experience in education and career counselling would be an advantage.
• Passion for working with young people, especially in guiding them on their education and career pathways.
• An open-minded mindset, be flexible and exhibit cultural sensitivity in managing different profiles of stakeholders.
• A positive and encouraging nature.
• Excellent interpersonal, communication and networking skills.
• Strong collaborative and time management skills.
• Ability to develop systems and structure

Remuneration will be commensurate with qualifications and experience. Interested applicants, please write in or email your detailed resume and a recent passport size photo latest by 30 October 2024 to:

Human Resource

NUS High School of Mathematics and Science

20 Clementi Ave 1

Singapore 129957

Email: [email protected]

We regret that only shortlisted candidates will be notified.

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.

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 Assoc. Prof. Li Cheng on scalable Bayesian Gaussian process modeling for spatiotemporal data under a project on “Enhancing Scalability of Bayesian Gaussian Process Models”.

The main responsibilities of the position include:
- literature review on the statistical methodology of modeling non-Gaussian data;
- developing new Bayesian Gaussian process based models and scalable computational algorithms for non-Gaussian spatial and spatiotemporal data;
- coding and conducting numerical experiments related to the main topic.

Qualifications

• Qualifications / Discipline:
Recognised Bachelor / Master degree in Mathematics, Statistics, Data Science and related fields.

• Skills:
- Familiar with the methodology and computation of Gaussian processes;
- Strong programming skills in R, Rcpp, or Julia.

• Experience:
Nil

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 candidate will work on spent battery materials recycling project. Together with other team members, the candidate will focus on the development of an integrated recycling technology of all-solid-state battery black mass.

Qualifications

• Ph.D. in Chemistry, Physics, Materials Science, or a related field.
• Strong motivation and extensive experience with all-solid-state lithium-ion batteries.
• Ability to collaborate effectively within a multidisciplinary research team.
• Proficient in writing reports and presenting research progress.
• Excellent verbal and written communication skills.

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.

About Centre for Governance and Sustainability

Founded in 2010, the Centre for Governance and Sustainability (CGS) is housed at the National University of Singapore Business School. We are the go-to hub for corporate sustainability (CS) and corporate governance (CG) insights. Our research pillars are as diverse as they are profound, covering initiatives in sustainability reporting, climate and nature-related reporting, the Singapore Governance and Transparency Index (SGTI), ASEAN Corporate Governance Scorecard (ACGS) and more.

Our research empowers leaders, organisations and regulators in making informed decisions related to CS and CG. We bridge knowledge with industry needs, enabling organisations in the Asia Pacific (APAC), including ASEAN and Singapore, to go further in their sustainability journeys.

Our flagship initiatives include the Sustainability Reporting Review (SRR), Climate Reporting in ASEAN and Nature-related Reporting in APAC, the Singapore Governance and Transparency Index, and the ASEAN Corporate Governance Scorecard (ACGS). These initiatives assess and analyse corporate disclosures on the respective stock exchanges. The Singapore Exchange commissioned CGS to conduct the SRR while the ACGS review is an appointment by the Monetary Authority of Singapore.

CGS also organises events such as public lectures, industry roundtables and academic conferences on topics related to sustainability and governance. For more information, please visit: https://bschool.nus.edu.sg/cgs/

CGS has multiplied its research efforts over the years and is advancing rapidly in its sustainability and governance endeavours. We are looking for a qualified candidate to be part of the dynamic team of researchers at CGS.

Job Description

Lead and conduct sustainability and governance projects under the guidance of Principal Investigators (faculty members).

Specific responsibilities include:

• Craft research proposals, methodologies and frameworks
• Write research reports and journals
• Prepare briefs, press release and presentations
• Conduct statistical analysis
• Supervise a team of student assistants
• Engage stakeholders and project partners
• Monitor project budget
• Other duties and responsibilities as assigned by Principal Investigators

Qualifications

1. Master’s degree in the fields of Accountancy, Business, Economics, Environmental Studies or equivalent
2. Familiarity with corporate governance and corporate sustainability
3. Familiarity with company documents such as annual reports preferred, though not required
4. Proficient in spreadsheet, database, and basic data analysis
5. Strong command of the English and Chinese language and particularly with strong writing ability, to be able to write, understand and translate the projects' documents and reports as well
6. An independent team player who is meticulous and responsible

For selection purposes, please submit the following:
(1) Cover letter with photo
(2) CV

(3) Academic transcripts

Application closes on 30 November 2024 or until the position is filled.

Please note 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 A/Prof Doreen Tan on Designing Therapies Specially for You (DTSY) Research Program under a project on Person-Centred Delivery Care Models and AI-related Digital Health Projects.

The main responsibilities of the position include:
 Team performance management
 Calendar and Time Management for PI
 Own and be responsible for the successful delivery of projects, ensuring they are completed on time, meeting requirements and within allocated budget
 Subject recruitment and follow up research visits with patients
 Coordinate and work closely with PIs, potentially from multiple collaborator sites
 Establishing and maintaining strong relationships with the clinical partners and academic stakeholders, through meeting management and creation of high-quality oral and written communications content
 Set up and manage the ethics application, study investigator files and research databases for an ethics board approved study
 Strategise and provide administrative support for multi-site research agreements and ethics board review
 Oversee submission of progress and final reports, and ensure proper closure of completed research projects
 Provide grant processing support for claims and report submissions
 Facilitate grant verification and variation submissions
 Perform other related duties incidental to the work described herein

Qualifications

• Qualifications / Discipline:
Bachelor’s Degree in a related discipline, preferably in Nursing, Pharmacy, Pharmaceutical Sciences, Biomedical or Life Sciences

• Skills:
 Strong administrative and project management skills, with ability to manage multiple projects concurrently
 Strong oral, written and interpersonal communication skills
 Responsible and independent, with a strong sense of prioritisation, integrity and the ability to work in a team
 Pioneering and innovative personalities are a plus

• Experience:
 We are looking for a pioneer who can set up new and innovative practice models for the future of person-centred care.
 At least 3 years’ experience in Human Biomedical Research (HBR) and/or experience working in public hospitals / healthcare systems.
 Experience in leading teams and/project work will be advantageous.

Responsibilities :

• Responsible for sales & marketing of scientific, laboratory & research instruments to the scientific research community and industries
• Engage key account customers, source out new accounts and other business opportunities
• Provide excellent customer service through product knowledge, handling inquiries and eventual sales order
• Managing product lines from strategic planning to tactical activities

Requirements:

• Degree in any Science discipline (Materials Science, Nanotechnology, Physics, Chemistry, Chemical Engineering, or related field)
• Preferably with at least 1 year of sales experience in the relevant industries
• Candidates without experience are welcome as training will be provided
• Dynamic, self-motivated with excellent interpersonal, comunication and presentation skills
• A team player who is resourceful and able to multi-task

Project Overview

We are seeking a highly motivated and creative Research Engineer to contribute to cutting-edge research and development in the field of soft robotics, with a focus on the design, fabrication, and control of soft robotic manipulators for complex tasks. The successful candidate will work closely with a multidisciplinary team to develop innovative robotic systems, control algorithms, and sensory feedback mechanisms. This is a unique opportunity to participate in both fundamental and applied research, as well as collaborative projects with industry partners.

Responsibilities

• Assist in the design, fabrication, and testing of soft robotic manipulators aimed at solving complex manipulation tasks.
• Develop and implement novel control strategies, algorithms, and sensory feedback systems to enhance the precision and adaptability of soft robotics.
• Collaborate with cross-functional teams to integrate mechanical, electrical, and software components into functional robotic systems.
• Conduct experimental validation, performance testing, and iterative improvements of developed prototypes.
• Support applied projects in collaboration with industrial partners and contribute to technology transfer efforts.
• Present research findings at international workshops, conferences, and internal project meetings.
• Contribute to the preparation of technical reports and assist in writing articles for publication in top-tier journals and conferences.

Requirements

• Bachelor's or Master’s degree in mechanical engineering, robotics, computer science, or a related field.
• Hands-on experience in robotics, soft robotics, or interactive systems.
• Proficiency in CAD software, prototyping, and mechatronics.
• Ability to work collaboratively in a multidisciplinary team environment.
• Strong problem-solving skills and creativity.
• Experience with control algorithms, sensory feedback systems, and robotic manipulation is an advantage.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). 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 successful candidate will work on the development of next-generation ammonia marine engines with high efficiency and near-zero emissions.

Major duties and responsibilities include:

• Explore the potential of ammonia-hydrogen fusion marine engine with single ammonia fuel supply.
• Establish the relevant engine test benches and in-house control system.
• Develop 3D-CFD engine simulation platform coupled with detailed chemical kinetic mechanisms.
• Achievements extension to the entire series of marine engine and other alternative fuels such as methanol and methane.

Qualifications

• Master's degree in Mechanical or Electronic Engineering or a related field.
• Experience in developing in-house control system.
• Strong stills in chemical kinetic mechanisms development and 3D-CFD engine simulations.
• Experience in ammonia engine and ammonia combustion studies.
• Excellent problem-solving skills and ability to work independently and collaboratively.

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

Admissions Administration

• Liaise with applicants to the NUS MEng, PhD, Eng.D Programmes timely, including
• Answering enquiries on graduate admission matters
• Tracking applications and complete submission of documents to support applications
• Liaise with interviewers and applicants for admission interviews
• Updating records
• Scanning and filing of documents
• Update and maintain information/data in Admission Systems

Other Duties

• Any other ad-hoc duties as assigned and required by the team

Qualifications

• Candidate must have at least 1 year of working experience, preferably in the higher education sector
• Possess good business acumen with excellent verbal and written communication skills
• Good organisational and interpersonal skills. Able to work collaboratively in a fast-paced environment
• Self-driven, resourceful and organised
• Ability to work independently and proactively
• Meticulous and thorough. Ability to deliver under tight deadlines
• Proficient in Microsoft Office Applications (Word, Excel, PowerPoint, Outlook)
• Able to work and liaise with internal departments and external collaborators

Responsibilities

• Prepare sales proposals/quotations and project bids
• On-site visits/services as required
• Liaise with client/contractors/consultants on projects related issues/meetings/presentations
• Responsible for development and management of project related sales
• Other ad-hoc duties as and when directed by the management

Requirements

• Candidate must possess at least a Diploma or Degree in Engineering (Electrical/Electronic) or equivalent.
• Experience in electrical work installation and troubleshooting will be an advantage
• Experience in project management are welcome to apply
• Good technical knowledge to handle consultants and contractors
• Good problem solving and communication skills
• At least 1 year of working experience in the related field is required for this position

• Responsible for installation, commissioning, routine maintenance, trouble-shoot and repair of scientific equipment

• Prepare service test report and IQ/OQ documents for customers

• Prepare service quotation for maintenance and repair works

• Provide excellent customer service through product knowledge, handling customer feedback, prompt response and working closely with sales engineers

• Liaising with principals or suppliers for technical issues

• To take ownership for all assigned projects and assist in other jobs when required

Research Associate / Senior Research Associate, Analytical and Mass Spectrometry - Hummingbird Bioscience

ABOUT HUMMINGBIRD BIOSCIENCE

Hummingbird Bioscience is a precision biotherapeutics company discovering and developing transformative biologics for hard-to-treat diseases. To address key challenges with current antibody-drug conjugate (ADC) therapies, Hummingbird Bioscience is building a pipeline of next-generation ADCs using its proprietary antibody discovery and linker/payload platforms. The company has a pipeline of ADCs in preclinical development and other novel biologics including monoclonal antibodies, HMBD-001 (anti-HER3 mAb) and HMBD-002 (anti-VISTA mAb) in Phase I and a recently out-licensed ADC (HMBD-501) that will enter the clinic this year. The Hummingbird Bioscience approach combines computational and systems biology with wet lab drug discovery in a multi-disciplinary, collaborative environment spanning initial discovery through clinical development. The company harnesses this integrated approach across target identification and patient selection, enabling the team to increase the efficiency of translating novel scientific insights while reducing the inherent risk in drug discovery and development. At Hummingbird Bioscience, the commitment to rigorous science, teamwork, and intellectual integrity underpins our passion to accelerate the journey of new drugs from concept to clinic.

For more information, please visit www.hummingbirdbioscience.com, and follow Hummingbird Bioscience on LinkedIn, X (formerly Twitter), and YouTube.

ABOUT THE ROLE:

We are looking for a senior/ research associate to join the Analytical and Mass Spectrometry team to ensure the delivery of high-quality LC-MS data for the development of internal programs. This will be a permanent role for the right candidate with ample opportunity to grow within the company. Join Hummingbird Bioscience on our journey as we transition from an early-stage drug discovery company to a global leader in drug development. The successful candidate will work with CMC, drug discovery and development teams to support product development efforts as well as to advance our platform methodologies.

Key responsibilities:

• Independently run a variety of analytical methods for ADC and antibody samples on a day-to-day basis including but not limited to HPLC, capillary electrophoresis, LC-MS and potency assays.
• Perform assay or equipment troubleshooting when required
• Establish and develop strong analytical assay knowledge with a view to drive cross-functional collaboration and ensure accurate and on time delivery of results
• Support analytical assay development and qualification and authoring of SOPs when required
• Perform high quality data analysis of ADCs and antibodies to support screening activities for early-stage programs.
• Participate in initiatives to improve and increase throughput of existing workflows.
• Ensure accurate, detailed, and up-to-date records of all laboratory work and experiments in electronic files, with high attention to detail.
• Work closely with the team to support implementation of new cutting-edge tools and techniques for ADC and antibody drug discovery and development cycle.
• Perform administrative duties including regular updates, maintenance of lab and equipment, consumables order and inventory to ensure smooth operation in the team.
• Contribute to the overall safety and organization of the laboratory.

Essential Qualifications:

• BSc or higher in Analytical Chemistry, Biochemistry or related field
• At least 2 years of relevant experience in a biopharma industry and/or academia
• Knowledge or experience in the antibody and/ or ADC field
• Excellent communication (written and verbal) and interpersonal skills
• Able to work both independently and collaborate as an effective team player
• Agility to work in a dynamic fast-paced environment

Desirable Qualifications:

• Experience in method development of complex biomolecules like ADCs/ antibodies
• Experience in working within a GxP environment
• Experience in working alongside CRO and CDMOs

OUR MISSION & VALUES

Our fast-growing biotechnology company is committed to discovering and developing important new drugs for cancer and autoimmune diseases, and living by our values: Excellence, Determination, Teamwork, Intellectual Integrity and Audacity.

JOIN US AT THE FRONTIER OF DRUG DISCOVERY AND DEVELOPMENT

We are looking for passionate and motivated individuals committed to solving important, complex problems. We are committed to the personal and professional development of our team and offer robust learning and development programs. Hummingbird Bioscience understands the need for flexibility for our team and offers a generous paid time off program with flexibility to support employees through different life stages. We invest in our team’s health by offering competitive benefits including health and dental insurance, and a comprehensive and holistic employee assistance program. We foster a more collaborative, productive, and sociable culture with on-site lunches and snacks. Finally, we believe in creating social impact beyond our business through corporate social responsibility initiatives.

Are you ready to join us on our mission to discover and develop important new drugs for cancer and autoimmune disease? Click on ‘Apply for this Job’ to submit your application.

For further enquiries, please email us at [email protected].

Hummingbird Bioscience is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all Singapore and US federal, state and local laws and/or guidelines that prohibit employment discrimination on the basis of age, race, color, gender, sexual orientation, gender identity, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions, marital status, protected veteran status and other protected classifications.

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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of quantitative analysis. The responsibilities of the role will include designing and developing smart databases of various unstructured and non-traditional information related to corporate environmental and social impacts.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data collection and storage framework
• Plan and perform the collection of information from various alternative, non-traditional data sources, along with commercial databases
• Plan and perform quantitative analyses of various corporate disclosure reports and regulatory frameworks, including textual and graphical analysis.
• Plan and perform the development of databases that can be used by researchers throughout the Institute, with accessible interface for external users
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• For Research Fellow position: guide, mentor, and supervise research analysts and associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor's degree is required, a master's degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of quantitative analysis is highly preferred.
• Quantitative and programming skills, including knowledge of textual and graphical analyses, are highly desired.
• Database design and management experience is highly desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

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

A Research Fellow position is immediately available for R&D on optical coherence tomography and bio spectroscopy (florescence, and Raman etc), and bioinstrumentation for endoscopic imaging.

Qualifications

• Possess a PhD degree in one of the following disciplines: Applied Physics/Biophysics, Optical Engineering, Biomedical Engineering or equivalent.
• Preferably with hands-on experience in fiber-based interferometry, endoscopy, optical instrumentation, biomedical optics and imaging, such as OCT, optical spectroscopy, microscopy, and fiber optics design and fabrication.
• Preferably with experience in cell culture and tissue handlings.
• Proficiency in fiber optics scanning and interferometry design and fabrication, zmax, and programming using C++, Matlab, Labview are advantageous.
• Open to fixed term contract.

Interested candidates are invited to (1) submit their job application via the NUS Career site and (2) a copy of detailed CV together with three references listed.

LifeStrands Genomics • Singapore

We are Lifestrands Genomics, a genomics and life science subsidiary of Pathology Asia Group headquartered in Singapore. Our focus is on the forefront of technology, using Next-Generation Sequencing (NGS) and spatial genomics to provide accessible and quality clinical genomic testing to our patients. We also provide exciting opportunities for individuals who share our passion for advancing scientific knowledge through R&D.

Our team actively collaborates with leading experts in Singapore, fostering an environment that values diverse backgrounds and experiences. At Lifestrands Genomics, we prioritize work/life balance, emphasize personal growth, and offer comprehensive training to support our team members.

Located at the Galen, our workspace provides a convenient and inspiring environment for clinical and research endeavors.

Together, we can drive scientific progress and help our patients!

Seeking a Medical Laboratory Technologist!

Are you a skilled scientist with expertise in molecular genetics and spatial genomics experiments? We are looking for someone to join our laboratory and contribute to our cutting-edge clinical and research projects.

Key Responsibilities:

• Conduct spatial genomics experiments and/or clinical genetic tests using state-of-the-art techniques and equipment.

• Collaborate with the research team to design and execute experiments.

• Keep detailed records of experiments and results.

• Receive, examine and perform laboratory testing on clinical specimens and report the results within TAT in accordance with laboratory policies and standard operating procedures.

• Perform quality control, validation, and other activities to verify the performance of clinical assays and research experiments.

• Ensure sufficiency and diligently keep records of laboratory inventories, including usage, purchase, delivery, stock count and expiry.

• Ensure all lab instruments are maintained as per scheduled PPM dates and raise any instrument performance issues to the supervisor or senior laboratory team members.

• Attend to technical enquiries from other departments, PAH entities or customers regarding lab results, test limitations, etc.

• Stay updated on the latest developments in molecular genetics and spatial genomics.

• Any responsibilities/tasks assigned by immediate superior or management.

Qualifications:

• Degree in Molecular Genetics, Biochemical Genetics, Genomics, or any related field.

• Prior experience or interested in conducting spatial genomics experiments is preferred

• Proficiency in relevant laboratory techniques and equipment.

• Strong problem-solving abilities.

• Ability to work collaboratively as a team.

• Attention to detail and commitment to maintaining high-quality standards.

• Excellent communication skills.

If you're passionate about spatial genomics and clinical genetic tests, we'd love to hear from you. Please send your resume to [email protected]

Join us in shaping the future of spatial genomics research and clinical genetic tests!

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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Weina Zhang) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of research hypotheses
• Plan and perform the collection and organization of corporate financial and sustainability disclosures
• Plan and perform the collection and organization of information regarding government policies and regulations in the sustainability space
• Perform qualitative and quantitative analyses of existing frameworks, to extend existing frameworks to develop a more comprehensive framework
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• For Research Fellow position: guide, mentor, and supervise research analysts and associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: finance, accounting, economics, business, sustainable/green finance, sustainability management, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required.
• A thorough knowledge of the research field of sustainable economics or finance is highly preferred.
• Quantitative analytical and/or financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data analysis of research projects.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Excellent verbal and interpersonal communication skills, along with strong written communication skills.

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

A Research Fellow position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

Job Description

This project will combine the strengths of machine learning and control coupled physics-AI models can help to provide greater visibility and accuracy on carbon emissions estimation.

The successful candidate is required to:

• Develop physics models that capture the dynamics of ship engines and vessels, including the interactions between the hull, propeller, and engine;
• Research on the physical-informed neural network (PINN)-based method for the automated surface vessel prediction model that integrates deep learning neural networks into the nonlinear model predictive framework;
• Reduces carbon emissions and enhances the interpretability and adaptability of environmental sustainability measures across various maritime conditions;
• To advance the knowledge, to publish in leading journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• A PhD in Engineering, Physics etc, with specialization related to machine learning, control science, computer engineering or related field;
• Prior experience in control theory, hardware experience is advantageous;
• Strong programming skills in one of the programming languages: Python, C/C++, Matlab, etc;
• Have prior project related experience and be able to work independently;
• Strong organizational, writing and interpersonal communications.
• 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 Tan lab is looking for a research assistant who will work with Assistant Professor Tan Yong Zi on biochemistry and structural biology under a project entitled Understanding the Structure and Function of Mammalian Membrane Proteins Involved in Human Diseases.

While membrane proteins only make up around 20% of the proteome, they constitute around 60% of drug targets. However, high resolution structural information is severely lacking for them, with only about 2% of the structures deposited in the public protein database (PDB) being annotated as membrane proteins. The Tan lab (www.tyzlab.com) strives to fill in this gap by targeting membrane proteins involved in human diseases such as cancer and diabetes. Our forte is using state-of-the-art single-particle cryogenic electron microscopy (cryo-EM) to obtain high-resolution atomic structures of these membrane proteins. We also actively work on methods development in cryo-EM that will help us answer our biological questions.

The Tan lab is generously funded by NRF Fellowship, MOE and NUS Presidential Young Professorship under the Department of Biological Sciences, NUS. We are a core member of the Centre for BioImaging Sciences' (CBIS), and have access to high-end cryo-EM microscopes, including a Titan Krios with K3 direct detector and energy filter.

Qualifications

Bachelor Degree in related field

Skills:

• Candidates must uphold values of scientific integrity, honesty, teamwork and pride in their work

Experience:

• Mammalian and insect cell culture work
• Baculovirus expression of proteins
• Membrane protein purification
• Cryo-EM data collection and processing

The Humanities, Arts, and Social Sciences (HASS) cluster at the Singapore University of Technology and Design (SUTD) seeks applicants for a full-time, tenure-track faculty position specialising in the philosophy of science and technology. Appointments will be made on an initial three-year contract with the possibility of renewal.

We are particularly interested in applicants who can play an instrumental role in addressing questions relating to ethics in Artificial Intelligence (AI) and other emerging technologies—both through teaching students who are pursuing engineering, computer science, and architecture majors and through interdisciplinary research collaborations with engineering, design, and computer science faculty. Applicants should have a Ph.D. in a humanities-related discipline, such as philosophy or digital humanities, and have demonstrated research and teaching expertise in their field.

Besides cultivating a strong research portfolio, the successful candidate will be required to teach our undergraduate humanities core course and new electives in the candidate’s area of specialisation. Candidates who can contribute to our cluster’s digital humanities minor programme will also be viewed favourably. Other duties include working with faculty to contribute to interdisciplinary research and teaching initiatives, such as mentoring students as they work on their capstone projects or fostering collaborations with industry or public service sectors.

Application Details

SUTD offers degrees in engineering, architecture, and design with a strong emphasis on creating a better world by design and strives to nurture culturally competent innovators, technologists, designers, and entrepreneurs. Its key interdisciplinary areas in research and teaching are AI, aviation, cities, and healthcare. The HASS cluster plays a pivotal and critical role in the university’s commitment to world-class teaching and research excellence.

The current HASS faculty brings core expertise in literature, history, philosophy, theater, film studies, anthropology, communication, psychology, sociology, business, economics, and urban studies. This unique combination of interdisciplinary faculty has given rise to thought-provoking research and teaching that contribute significantly to HASS disciplines, as well as to interdisciplinary projects with other departments at SUTD, such as Architecture and Sustainable Design (ASD), Design and Artificial Intelligence (DAI), Engineering Product Development (EPD), Engineering Systems and Design (ESD), and Information Systems Technology and Design (ISTD). For more information, please visit the following websites: https://www.sutd.edu.sg/ and https://hass.sutd.edu.sg/

We especially seek creative scholars with the potential to develop new directions in humanities teaching and research and who are interested in joining an interdisciplinary humanities, arts, and social science department at an engineering and design university.

Candidates should submit the following materials to [email protected]:

1. A cover letter.

2. A curriculum vitae.

3. A statement of current and future research plans.

4. A statement of teaching experience and philosophy.

5. A 500-word description and selected bibliography of up to ten readings for two courses you may wish to offer.

6. Two representative publications (e.g., articles, book or dissertation chapters, or works in progress).

7. Names, affiliations, and email addresses of three referees. (Please note that candidates who advance to the interview stage will be asked to submit two letters of recommendation. Please have your recommenders ready to send their letters via email or Interfolio.)

Full consideration will be given to applications received by 29 November 2024. Interviews will likely take place at the end of January/early February 2025.

For more information about the position, please contact [email protected].

Research Fellow

Responsibilities:

• Survey the state of the art in urban sustainability operations and optimization;
• Mathematical modelling and problem formulation to fit practical scenarios;
• Provide optimization and operation policy to guide urban sustainability; and
• Validate the findings using simulations and real data.

Requirements:

• PhD degree in control science and engineering, computer science, electrical engineering, or applied mathematics;
• Has multiple publications in good conferences/journals in AI/computer science, electrical engineering, networking, experiments, and system optimization;
• Fluent in oral and written English;
• At least 2 years of experience in doing research in optimization algorithm design and system operations using performance control, machine learning, stochastic modelling, optimization, or game theory; and
• Experience in applying mathematical modelling and optimization algorithms to large-scale urban networks.

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

About the role:

We are seeking a highly motivated and skilled researcher to join our team, focused on the detection of misinformation and disinformation across various multimodal data sources. The successful candidate will work on developing and implementing advanced techniques for analyzing and identifying false or misleading content within text, images, audio, and video.

You will be expected to:

• Collaborate with a diverse team of computer scientists and social scientists to contribute to an interdisciplinary research programme.
• Conduct rigorous research and develop innovative solutions to complex problems.
• Publish and present research findings in academic journals and conferences.
• Develop and present demos for your research.
• Assist in the development and testing of algorithms or behavioral models.
• Participate in regular team meetings and contribute to collaborative efforts.

Key Responsibilities:

• Develop algorithms and models for detecting misinformation and disinformation across multiple data modalities (text, images, audio, and video).
• Conduct research on state-of-the-art methods for multimodal data processing and analyses.
• Analyze large datasets to identify patterns and trends in misinformation and disinformation.
• Collaborate with a multidisciplinary team of researchers, data scientists, and engineers.
• Publish research findings in top-tier conferences and journals.
• Stay up-to-date with the latest advancements in multimodal data analysis and misinformation detection.

Qualifications

• A PhD degree in Computer Science/Computer Engineering
• Possess strong background in Mathematics, Algorithms and Social Media Analytics
• Strong experience in machine learning, deep learning, and natural language processing.
• Excellent programming skills in Python, TensorFlow, PyTorch, or similar frameworks.
• Proficiency in handling multimodal data, including text, images, audio, and video.
• Familiarity with misinformation and disinformation detection techniques.
• Good written and verbal communication skills in English
• Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus
• The successful incumbent will be offered a one year contract

Preferred Qualifications:

• Prior experience in interdisciplinary research.
• Interest in the impact of digital technologies on society.
• Familiarity with social media platforms and their data structures.
• Familiarity with issues related to misinformation, disinformation, and mal-information.

Only shortlisted candidates will be notified.

We seek an experienced and exceptional individual for the role of Research Scientist to support BioPharma Innovations and Solutions (BPIS), with a particular focus on assay development for in house and collaborative projects.

Key Responsibilities

· Support BPIS in the setup of in vitro assays, including primary, secondary, and mechanistic assays for targets of interest.

· Establish platforms to evaluate mechanisms of action and develop relevant cell lines.

· Serve as a technical specialist, maintaining laboratory facilities, validating and standardising assays under GLP/Non-GLP conditions, and assisting the Group Leader/Principal Investigator (PI) in assessing target engagement and screening.

· Proactively drive novel initiatives and innovative projects/ideas in assay development and screening technologies.

· Contribute research and insights to new project proposals and grant applications.

· Assist BPIS and PI with general operations and laboratory administrative tasks.

Job Requirements

· PhD in Molecular Biology, Biochemistry, Pharmacology, or a related field. The successful candidate will design and conduct experiments, analyse data, write papers and grants, mentor students, and compete for fellowships.

· Strong background and working knowledge of basic molecular and cellular biology techniques such as cell culture, cloning, cell line generation, real-time PCR, western blotting, analysis of human clinical samples, immunoprecipitation, and CRISPR genome editing.

· Candidates with experience in applying new approaches to assess target engagement and cellular mechanisms are highly desirable.

· Direct experience in the development and application of in vitro assays (Enzyme or cell-based) for pharmacological/safety evaluation is required.

· Exposure to the drug discovery process is highly desirable.

· Strong communication and interpersonal skills, with the ability to persuade and present to different stakeholders, are essential.

· Proven track record of working effectively within a team.

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 Prof Barbaros Oezyilmaz on fabricating and characterizing twisted bilayer graphene (tBLG) using large-scale chemical vapor deposition (CVD) techniques under a project on Large-area 2D materials transfer and applications.

The discovery of twistronics, a potential Nobel Prize contender, could revolutionize advanced device concepts like topological quantum computing and single-photon detectors. However, the current low-yield "pick-up" method limits device fabrication to micron-sized graphene sheets, restricting the creation of larger arrays needed for functional quantum sensors and circuits.

We are seeking a highly motivated Research Fellow to join our research team in the Materials Science/Physics Department at the National University of Singapore. The candidate will work on fabricating and characterizing twisted bilayer graphene (tBLG) using large-scale CVD techniques, aiming to revolutionize the production of high-quality, defect-free graphene films for advanced optoelectronic devices like single-photon detectors.

The main responsibilities of the position include:

1. Develop and refine single-layer dry transfer techniques to achieve defect- and residue-free graphene sheets.

2. Utilize a fully automated high-speed laminator tool to create large-area arrays of devices with twisted layers.

3. Conduct research on the fabrication and characterization of twisted bilayer graphene and other 2D materials.

4. Collaborate with an interdisciplinary team of researchers to explore the angle-dependent properties of tBLG and establish the physical origin of emerging phenomena.

Qualifications

• Qualifications / Discipline:

1. A Ph.D. in Materials Science, Physics, or a related field.

2. Strong background in 2D materials, nanofabrication, and characterization techniques.

• Skills:

1. Excellent problem-solving skills and the ability to work independently and collaboratively.

2. Strong written and verbal communication skills.

• Experience:

1. Experience with chemical vapor deposition (CVD) graphene and dry transfer methods is highly desirable.