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.

Job Description

The Research Assistant (Research Admin) will provide administrative support to the research team, primarily focusing on finance assistance, database maintenance, event organization, and management of the laboratory website and public platforms such as Facebook and LinkedIn. The incumbent will play a crucial role in ensuring the smooth operation of research activities and promoting the research group's visibility and engagement on various online platforms.

Key Responsibilities

Finance Assistance:

• Assist in budget tracking for research projects.
• Process financial transactions, including reimbursements, invoices, and purchase orders.
• Maintain accurate financial records and prepare regular reports for budget monitoring.

Database Maintenance:

• Develop and maintain databases to organize research-related information, including project data, publications, sample inventory.
• Ensure data integrity and security by implementing appropriate protocols and backups.
• Provide support to research staff in accessing and retrieving data from databases as needed.

Key Responsibilities

Event Organization:

• Coordinate logistics for research-related events, including seminars, conferences, workshops, and meetings.
• Assist in event planning, event website updating, venue booking, participant registration, and catering arrangements.
• Prepare event materials such as agendas, presentations, and promotional materials.

Lab Website and Public Platform Management:

• Manage and update content on the laboratory website to reflect current research activities, publications, and team members.
• Develop and implement strategies to enhance the visibility of the research group on social media platforms such as Facebook, LinkedIn, and Twitter.
• Monitor and respond to inquiries and comments on social media platforms to engage with the research community and the public effectively.

Qualifications

• Bachelor's degree in a relevant field such as advertising, information technology, or communications.
• Prior experience in administrative or customer service support roles.
• Strong organizational and multitasking skills, with the ability to prioritize tasks and meet deadlines effectively.
• Proficiency in database management software (e.g., Microsoft Access) and financial management tools (e.g., Excel).
• Excellent communication skills, both written and verbal in English and Chinese, with the ability to interact professionally with internal and external stakeholders.
• Familiarity with website management platforms, and social media management tools is desirable.
• Proficiency in Adobe Photoshop and Illustrator for creating and editing graphics and research publication materials.
• Attention to detail and accuracy in data entry and financial transactions.

Application

Applicants should send the following documents

1. Cover letter highlighting relevant experience and career goals
2. Curriculum Vitae, containing details of three named referees
3. A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

Please note that only shortlisted candidates will be contacted.

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 researcher will be assigned to develop the machine-learning enabled synthesis method and algorithms to enhance performance of CP array antennas.
• The researcher will study the fundamentals of metasurface and the design of CP array using neural network-based algorithms.
• The elements of a metasurface array will be enhanced over a wide bandwidth with high gain.
• The results will lead to papers to be published at prestigious journals.

Qualifications

• PhD holders in the fields of electromagnetic and antenna engineering
• Experience in programming machine learning/neural network algorithms
• Experience in design of metasurface arrays
• Good record in paper publications in prestigious journals such as IEEE Trans AP
• Good communication skills
• Open to fixed term contract

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies. TUMCREATE works in close collaboration with Nanyang Technological University (NTU) and with other Singapore research institutes.

Our research projects “Proteins for Singapore” and “Aquacycle” aim to develop novel protein foods with excellent nutritional and sensorial properties from a variety of starting materials including soy, algae and aquacultural side products. Our long-term aim is to develop processes that will assist Singapore in producing 30% of our nutritional needs locally by 2030 and building a more resilient food future. The TUMCREATE analytical lab works to quantify nutritional and potentially harmful compounds to ensure our products are of the highest nutritional quality and safety.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

About the role:

We are looking for a Scientific Research Analyst to quantify vitamins and mycotoxins by LC-MS in foods and related materials and develop improved extraction and analytical methods. The candidate should be experienced in analytical science, but training will be provided for candidates who have not previously worked with LC-MS. An initial 1-year contract will be offered with possibility of extension.

Job Responsibilities:

• Sample organisation, labelling and processing (food/protein extracts/faecal material)
• Extraction of metabolites (e.g. vitamins) by SPE (solid phase extraction)
• Analysis of metabolites by LC-MS (mainly using targeted triple-quad methodologies)
• Method validation, optimisation and quality control
• Data processing, analysis and statistical processing
• Report writing and publication
• Collaboration with food scientists, microbiologists and botanists

Requirements:

• Bachelor’s or Master’s degree in Chemistry, Pharmacy, Food Science or related discipline from a reputable university.
• Applicants with a Diploma in Medical Biotechnology or related discipline are encouraged to apply. Preferably you should possess at least 3 years of relevant experience.
• Experience in at least one analytical technique involving preparation of standard curves, pipette technique, randomisation, batch and quality control samples. Prior experience with LC-MS or HPLC is particularly useful.
• Excellent organisational skills
• Basic data handling and statistical ability. Prior experience with metabolic or genetic datasets will be advantageous but is not essential.
• Excellent spoken and written English.
• Fresh degree graduates are encouraged to apply as we will provide training for LC-MS.

What TUM CREATE offers you:

• Competitive salary that commensurate with experience
• Medical insurance
• Good amount of leave/vacation days
• Vibrant, multicultural and flexible working environment in Singapore
• Campus-sited (NUS) office location with a host of facilities
• In-building perks including gym, game room and coffee room

Applications:

Please send your application including cover letter and CV to [email protected].

Only shortlisted candidates will be contacted.

We look forward to your application.

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

An exciting opportunity has arisen for a highly motivated Senior/Research Fellow to join the Centre for Holistic Initiatives (CHILD) for Learning and Development, Yong Loo Lin School of Medicine, National University of Singapore. CHILD brings together experts in the field of translational research, child health and development, and implementation science to accelerate the use of evidence in policy and practice and give every child the best start in life.

The successful candidate will support the Centre by i) conducting research and evidence synthesis projects aligned to the Centre’s strategy and key priorities, ii) preparing reports, publications and materials for funding bids, iii) providing supervision and mentorship to junior researchers, and iv) facilitating workshops and engagement activities.

Job Responsibilities

The successful candidate will:

• Work closely with the team leads, cross-disciplinary research teams and collaborators.
• Design, plan, undertake and deliver research and evaluation projects using a combination of qualitative and quantitative methods.
• Perform evidence synthesis activities, including systematic and rapid reviews.
• Lead on writing for reports, peer-reviewed publications and grant proposals for a variety of audiences.
• Contribute and lead, where appropriate, research dissemination activities at internal and external meetings and conferences.
• Provide supervision and mentorship of research students, interns and research assistants, where required.
• Work closely with stakeholders from across the early childhood sector.

Qualifications

Qualifications: A PhD in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or a related discipline.

Experience: Candidates with experience in the following areas are encouraged to apply:

• Implementation Science
• Behavioural or Social Sciences applied to child health/development
• Programme Evaluation
• Education/Health Services or Applied Research
• Epidemiology

Requirements

The candidate should also possess:

• Experience in undertaking or leading independent research studies, including evidence synthesis projects, as appropriate for career stage.
• A strong grounding in quantitative and/or qualitative research methods, evidence synthesis and data analysis.
• Track record of publishing in peer-reviewed journals and presentations in international or national scientific conferences, commensurate with career stage.
• Excellent command of spoken and written English.
• A team player with an ability to work independently.
• Highly motivated, proactive, and goal-oriented
• Keen interest in the area of early child development and passion for research translation and communication will be advantageous.

Application

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

The appointment title and salary grade will be commensurate with the candidates’ qualifications and experience. Interested applicants are invited to submit a cover letter and full CV via the NUS careers portal.

What Being Successful in the Role Looks Like: The successful candidate will work closely, collaboratively and competently as part of an interdisciplinary team within CHILD. They will have excellent writing, presentation, and project management skills. They can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up CHILD’s open and positive work culture.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of robust AI for autonomous driving perception. Detailed research tasks include physical-space adversarial example attacks, applying redundancy and diversity of deep neural networks to harden object detection and semantic segmentation, as well as maintaining the real-time performance of the hardened AI computing on embedded GPUs (NVIDIA Jetson AGX Orin). RGB camera and LiDAR will be the main sensing modalities to be studied.

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Work with the research fellow, collaborators, and the industry partner to conduct the applied research
  2. Develop the prototype for testing
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of Deep Learning/Computer Vision
• Have a Bachelor/master’s degree in computer science/engineering or related disciplines
• Knowledge of autonomous vehicles or cyber security will be advantageous
• Hands-on experiences with computer systems

We are seeking a dedicated Senior Network Engineer with some working experiences to join A*CRC Network Group. The candidate will be responsible for the planning, implementing and maintaining the network infrastructure to support organization needs, ensuring reliability, performance and security for A*CRC.

Job Description

• Responsible for the planning, configuration and administration of A*CRC network.
• Ensure continued smooth and optimal network performance for A*CRC services.
• Participate in projects involving internal and external collaborators.
• Perform network evaluation, proof of concepts and provide recommendations.
• Required to develop network and network security related technical specifications for tenders.
• Participate in network automation for network infrastructure.
• Manage daily network operations.

Job Requirement

• A Bachelor's degree in Computer Science/Computer Engineering/IT or equivalent.
• CCNA Certified, CCNP or equivalent preferred.
• Experienced in networking technologies (e.g., WAN, LAN, Network Security, DWDM etc).
• Working knowledge and good troubleshooting skills in routing and switching (e.g., BGP, OSPF, VXLAN, MP-BGP EVPN, VRF) etc
• Proficient in managing routers, switches, network firewalls, intrusion prevention systems, vulnerability assessment and Network monitoring systems.
• Familiar with basic Linux administration
• Some knowledge on scripting such as python to automate network procedures is a plus.
• Possess strong analytical, troubleshooting and problem-solving skills.
• Independent mature team player with positive attitude.
• Minimum 3 years of relevant experiences.

The Director, Development & Engagement (DDE), is a dynamic, creative, and driven individual in a leadership position, with a direct reporting relationship to the Executive Director.

The DDE will manage and enhance existing diversified fundraising and community engagement plans to strengthen the organization’s overall outreach, fundraising capacity and sustainability.

The DDE will be expected to provide strategic leadership to two teams:

• Fundraising team to execute AWARE’s fundraising plan
• S.P.A.C.E. team which educates and empowers the community to create a gender-equal future through projects, workshops and events;

As a member of the Senior Leadership team, the DDE will develop and execute AWARE’s annual and long-term strategic plans in the above areas.

This is an exciting opportunity for a strong leader who is committed to social justice and seeking a concrete way to contribute to society in Singapore.

The ideal candidate will be an excellent communicator and skilled relationship builder as well as an innovative and resourceful, dynamic and results-oriented leader – someone who is an inspiring people manager and an organised, hands-on collaborator who gets things done.

Position: Director, Development and Engagement, AWARE

Salary range: SGD$8,000 – 9,100

Term: Full-time employment contract

Starting date: As soon as available

Key Responsibilities

Fundraising

• Develop and implement annual and multi-year fundraising plans, with customised strategies to cultivate, solicit and steward new and existing donors;
• Build and foster partnerships and networks to cultivate donors, members and advocates, positioning AWARE as a unique and powerful agent for positive change in Singapore;
• Leverage on personal and AWARE’s connections to engage progressive companies and their employees to support AWARE’s work;
• Oversee fundraising events, such as the annual AWARE Ball, donor cultivation and recognition events; and
• Lead and develop the Fundraising team comprising staff, interns and volunteers to achieve the above.

S.P.A.C.E.

• Create and implement strategies for engaging with and building the capacity of various communities to construct a fairer, more compassionate and gender-equal future;
• Direct the formulation and successful implementation of community engagement programmes to inspire, empower and connect people with real and sustainable impact;
• Cultivate and sustain productive relationships with community leaders and senior government representatives to ensure successful engagements;
• Closely collaborate with and advise other AWARE departments on deepening the relationship of their constituents with AWARE;
• Actively represent AWARE to members, donors, volunteers, AWARE board alumni, other social service organisations, government agencies and the community at large; and
• Lead and develop the SPACE team comprising staff, interns and volunteers to achieve the above.

Senior Leadership

The Senior Leadership team is collectively responsible for the following, in accordance with AWARE’s vision, mission and values:

• Anticipating future needs and opportunities to articulate AWARE’s strategic direction;
• Achieving annual and longer-term strategic plans;
• Fostering a positive, high performance work culture; and
• Ensuring the ongoing sustainability of the organisation.

Candidate Profile - Qualifications and Critical Competencies

• Singapore Citizen with university degree and minimum 12 years’ total professional experience, including at least 5 years leading and managing teams and at least 8 years of relevant experience in fundraising/business development/community engagement, preferably in the Singapore context.
• Strong track record with partners, foundations and individual donors in the non-profit sector, or successful business development or revenue generation experience in the commercial sector.
• Superior interpersonal, verbal, written and presentation skills and the ability to collaborate and build alliances; able to engage effectively and diplomatically with diverse groups of donors, volunteers, members and other constituents across different sectors, e.g., government agencies, non-profits and corporates.
• Management of professional teams in a way that is consistent with AWARE's mission, vision and values (diversity, choice, gender rights, respect for others); able to attract, engage, develop and retain the right staff in the right roles.
• Technologically savvy, well-versed in information systems and data management; able to leverage innovative tools and technologies. Ideally experienced in digital marketing.
• Collaborative, energetic, self-motivated and personable with sound judgment, strong organisational and problem-solving skills and a positive, forward-thinking mindset.
• Shares AWARE's feminist perspective and understands what drives people to work and volunteer in the non-profit sector.

Interested applicants are invited to email their cover letter, CV, and details of two referees to [email protected]. Due to the high volume of applications, only shortlisted candidates will be contacted for an interview.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant for the project entitled “Characterisation of C6orf15 as a marker for epithelial mesenchymal transition and lymph node metastasis in colorectal cancer” within the Department of Surgery, Yong Loo Lin School of Medicine. The Department of Surgery is a dynamic department heavily involved in research and education, with areas of interest including surgical oncology and therapeutics aimed at the targeted therapy of various cancers, including colorectal cancer.

Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant will assist the PI in setting up the aforementioned project, and will be involved in basic and advanced cell culture and molecular biology techniques. The Research Assistant will form the nucleus of a new group with the PI.

Job Description

Main duties and responsibilities

The RA will receive regular direct supervision by the PI. While prior experience working in a laboratory environment would be valuable for this position, this is not critical, as specific molecular biology techniques will be taught by the PI. The RA must however have an interest in the molecular underpinnings of cancer, and have an inquisitive mind and a can-do personality.

The responsibilities of the RA will be to:

1. Oversee the experiments relating to the project;
2. Keep an accurate and contemporaneous log of the experimental procedures attempted as part of the project;
3. Ensure regular upkeep of laboratory stock lists and equipment;
4. Work towards the publication of experimental work in scientific journals;
5. Maintain a safe working environment;
6. Assist with any other duties of a similar nature that are delegated by the PI.

The PI is willing to teach the applicant molecular biology techniques, and the lack of prior laboratory experience is not a disqualifying criteria for this position. It is however most important for the applicant to have the correct aptitude for the position.

Qualifications

The applicant should:

1. Have a first degree in biology, the life sciences, or in a related field with good results
2. be able to work independently and in a team, have an investigative nature, attention to detail;

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Associate in the Department of Obstetrics & Gynaecology (O&G), Yong Loo Lin School of Medicine. The Department of O&G is dedicated to providing excellent and affordable care to patients, to support patient care through best-in-class medical practices informed by insights from cutting-edge clinical and translational research. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension into an administrative managerial position

Purpose of the post

The Research Associate will be responsible to, and work closely with, the Principal Investigator and study team members to to coordinate research projects under Dr. Li Lingjun’s Clinical Scientist Award (CSA) Investigator grant, particularly in administrative support so that projects may run smoothly and meet milestone targets. The Research Associate will work closely with Dr. Li Lingjun and various project stakeholders (e.g., PIs, RAs, clinics) to ensure successful project completion.

Main Duties and Responsibilities

The Research Associate will liaise with relevant stakeholders for participant recruitment and data collection and will be accountable to the Principal Investigator (PI). The Research Associate will be able to:

1. Support IRB application/administration & maintain Investigator Site File
2. Conduct study recruitment, answer general enquiries on study and checking of study eligibility
3. Conduct informed consent in accordance with Good Clinical Practice (GCP), Responsible conduct of research (RCR) guidelines and the Human Biomedical Research Act (HBRA)
4. Scheduling of study screening and follow up visits
5. Perform study measurements, data and biological sample collection accordingly to SOPs
6. Maintain regular communication with other team members in different study sites
7. Perform venepuncture on participants at clinics, and aliquot blood samples according to SOPs standards
8. Explain the use of and then apply the continuous glucose monitoring (CGM) device to the participants
9. Manage research study databases, including data queries
10. Ensure accuracy and completeness of data collection based on medical records and data entry
11. Manage schedules of PIs, RAs, and recruitment subjects, so that projects will run optimally, incident-free, and without significant delays
12. Plan appropriate coordination strategies to manage project requirements
13. Ensure smooth, accurate, and incident-free collection of data
14. Manage blood sample collection and glycemic profile download appropriately according to study protocols

Qualifications

The applicant should:

1. Have a Master’s degree in nursing/medicine or related disciplines; preferably with some experience in research;
2. be able to work independently and in a team, have an investigative nature, attention to detail; and
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint.
4. Experience in performing Venipuncture and Cannulation

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

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 laboratory of A/Prof Victor Yu at the National University of Singapore (NUS) is currently recruiting a committed Research Assistant to join their team.

In this role, the successful candidate will assist the senior team members in investigating the role of MOAP-1 in aging, senescence and lipid metabolism using cell lines as well as mouse models.

The main responsibilities will include but not limited to the following:
• Perform assigned tasks and support all aspects of the ongoing research projects.
• Assist with mice husbandry and animal experimentation/procedure.
• Perform other duties required to support the organisation of the laboratory, including but not limited to purchasing, stock-taking, inventory and compliance with safety and ethical regulations.
• Perform other related duties incidental to the work described therein.

Interested candidates please submit a detailed curriculum vitae, contact information of 3 referees and indicating your earliest availability.

Please note that only shortlisted candidates will be notified.

Qualifications

• Qualifications / Discipline: Bachelor’s Degree in Science.

• Skills:
- A good team player
- Strong oral and written communication skills
- Ability to work in a fast-paced environment
- Other desirable attributes: self-motivated, organized, efficient, and flexible.

• Experience: Prior experience working in a research lab setting in life sciences will be given priority in the selection process, especially those with prior experience with cell cultures, DNA, protein or mouse work.

Job Description:

A Haematology-Oncology Research Group (HORG) Clinical Research Coordinator plays a critical role in the conduct of cancer-related clinical trials at the National University Hospital (NUH), with a satellite site at Ng Teng Fong General Hospital. He/ she will assist the Principal Investigator in all manner of clinical trial activities, from recruitment, screening and coordination of trial-related procedures, and contribute to maintaining the high-quality, world-class clinical research that defines NCIS. Individuals applying should be passionate about helping others and committed to ensuring a smooth patient journey for our clinical trial patients at NCIS. Applicants should be confident, dynamic individuals who enjoy working with others and possess good interpersonal skills as well as the ability to empathize with cancer patients. In addition, he/ she should be methodical and well-organised, and demonstrate core values of respect, integrity and excellence. A structured training programme will be provided to acquire all the necessary skills to excel in the role.

You will be responsible for the following:

a) To adhere to compliance with Research Governance, Good Clinical Practice, Data Protection and Ethical Requirements.

b) To ensure the study and study procedures are conducted in accordance with the study protocol.

c) To participate in patient recruitment.

d) To ensure informed consent procedure is followed.

e) To coordinate patient visits for future tests and procedures.

f) To organize and participate in site initiation visits.

g) To arrange for clinical and laboratory investigations to be carried out according to protocol.

h) To collect and collates research data, ensuring its accuracy and completeness.

i) Ensure timely and accurate transcription of information on source documents, paper case report forms (CRFs), or electronic CRFs.

j) To label and ensure biological specimens are delivered in the correct conditions as specified in the trial protocol.

k) To assist investigator(s) in adverse events / serious adverse events reporting.

l) Creation and maintenance of all trial files, including the trial master file, and oversight of site files.

Requirements:

a) Science-related qualifications are preferred but degrees in other fields will be considered as well.

b) Ability to work both independently and in a team.

c) Good communication skills. Ability to speak Mandarin and common local dialects will be an added advantage.

d) Good patient interaction skills.

e) Be flexible and self-motivated.

f) Ability to write clearly

g) Possess excellent organisational skills.

h) Enjoy paying attention to detail.

i) Computer literacy.

j) Ability to work flexibly with occasional weekends and late nights.

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

At iHealthtech, we envision advancing health through innovation, integration of smart technology and on-demand health solution. Our organisation consists of an interdisciplinary team of scientists, engineers, and clinicians who work with our industrial partners to push the frontier of science to meet patients' needs.

Job Description
As a Research Scientist, you will contribute to the research, design and development of haptics enabled wearables. You will work with the team to develop haptics enabled wearables that fulfil clients’ requirements and work towards commercialization of the technology.

Key Responsibilities

• Perform research, design, development and testing of sensors and haptics.
• Contribute to the smart fabric engineering and its integration.
• Passionate about product design, design for manufacturability, product improvement.
• Conduct system testing, debugging, and issue tracking, including root cause failure analysis.
• Produce design documentation and execute test procedures.
• Develop and execute verification/validation testing strategy.
• Works independently with work checked on a regular basis.
• Demonstrate technical competency and independent solution thinking.
• Perform other duties as assigned by management.

Qualifications

Requirements

• Bachelor’s / MSc / PhD in Industrial Design / Mechatronics / Textile Engineering.
• Preferably 2 years of relevant experience in sensors / haptics fabrication.
• Experienced in the use of general engineering lab equipment.
• Fine hand skills for soldering and other similar benchtop electronics assembly processes.
• Knowledge of design for manufacturing, PCBA assembly processes and issues will be advantageous.

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.

Energy Studies Institute (ESI)

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that concern Singapore and the region.

ESI has an opening for a Research Assistant to ensure the timely delivery of research and policy recommendations with national, regional and/or international clients. Candidates are expected to be highly familiar with data analytics, visualization and the deployment of modern computer science techniques, ideally including an awareness of emerging digital technologies and trends in automated data capture. Candidates will also need to demonstrate a robust understanding of principles and techniques for carbon accounting and foot printing. An understanding of Singapore’s economic system and local work experience is desirable. The appointed candidate is also expected to have a sound awareness of current and emerging trends in energy and environmental research.

Job Description

Commensurate with experience, and working as part of a team, tasks may include the following:

• To report on the motivations for and expanded adoption of socially responsible business practices, including carbon disclosure, either voluntarily or in response to evolving national/international policies e.g. reacting to carbon tax revisions or similar;
• To review regional and international best practices for carbon footprint measurement, including the scope of emissions captured;
• To work with the hybrid infrastructure management platform as the central component of a high-integrity automated carbon footprint management solution;
• To explore the potential for, and possibly support the development of, a digital twin architecture built upon a hybrid infrastructure management platform, as a framework for strategic evaluation of carbon footprint policies;
• To support the development of virtual reality software for integrated simulation extensions of the hybrid infrastructure management platform output, accessed through APIs;
• To explore the development of a lifecycle management algorithm around the critical elements of data centre cooling system architecture(s);
• To document case studies for the use of automated technologies in carbon emissions data capture, verification and/or reporting.

Job Requirements

• Possess a Bachelor's degree in computer science, data science or other related fields
• Applicants should have demonstrated experience in quantitative data analysis.
• Relevant experience with Python and deep learning libraries such as Keras, Tensorflow and Pytorch
• A robust awareness of principles for carbon footprint analysis and reporting.
• A good contemporary understanding and interest in energy and environmental issues.
• Track record of publications in reputable journals would be an advantage.
• Have a strong written and oral command of the English language.
• Able to work independently and as part of a team.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae.
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project.

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified.

Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for research assistant/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Center for Sleep and Cognition at the Department of Medicine, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with, the Principal Investigator, lab members, and collaborators to ensure smooth operation of computing servers/storage, efficient database management, and successful completion of research projects in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in computing server and storage administration (with support from external vendors), website maintenance, and neuroimage processing using automatic or semi-automatic scripts, and general IT management. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging software and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging and cognitive neuroscience. The research assistant/associate will have the opportunity to liaise and work with other collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with strong IT, engineering, computing, and/or programming skills
2. Excellent written, oral communication skills
3. Prior system administration (Linux/Mac OS) or programming experience (e.g., MATLAB, shell) is a plus
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

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

The Academic Instructor is required to teach the courses in the undergraduate programs offered by the University at Buffalo, The States University of New York, US, in partnership with Singapore Institute of Management.

The roles would include:

• Creation of course design and materials, and implementation of syllabus to meet UB learning objectives;
• Delivery of student-centered, interactive course curriculum, including supervision of project work;
• Create, administer, and mark assessment instruments;
• Evaluate student progress and achievements;
• Hold regular consultation hours;
• Maintain and submit academic records.

Job Requirements:

• A Ph.D or Master's Degree in the exact discipline as specified by the teaching assignment from a nationally or regionally (USA) accredited university is required;
• Terminal degree is preferred;
• At least 2 years of relevant full-time teaching experience in the exact discipline as specified by the teaching assignment at the tertiary level is required;
• Ability independently operate all class level functions of Blackboard classroom management system, including Grade Center, is required;
• Substantial evidence of an active academic research agenda and recent history of publication(s) in peer-reviewed scholarly journal(s) are strongly preferred;
• 5 years of relevant work experience will be an advantage;
• Available to teach during day time on weekdays

Note:

• Only short-listed candidates who meet the specified requirements will be notified.
• Remuneration varies based on the number of classes concluded.

As a member of #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA’s global network of ports, logistics and supply chain solutions. Alongside, we can move the world!

• Develop Your Potential: We emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across our global network.
• Diverse, Equal Opportunity: We build a sustainable work culture where all our people feel welcome, valued, respected and able to express their ideas and beliefs freely. We believe that diversity of thought and approaches in our workplace makes us stronger as a team.
• Competitive Compensation & Benefits: We are committed to recognising and rewarding your contributions to the business. Our benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.

This role will be an integral part of the PSA Group Data For Excellence (DFE) team which drives and promotes the application of data science and AI/ML solutions to PSA businesses globally.

Job Description

• Create value through developing data analytics solutions that supports PSA global objectives as well as local business requirements.
• Proactively work with key internal customers associated with new and existing business initiatives to understand, shape, agree and deliver on their data analytics requirements.
• Responsible for ideation, design, development and deployment of data analytics solutions, descriptive to prescriptive based on the requirements.
• Select features, build and optimize classifiers using machine learning techniques from large and diverse datasets.
• Analyse high-volume, high-dimensionality and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques and PSA Data Analytics Platform
• Work and collaborate with data science and data engineering team at all stages of CRISP-DM Methodology
• Align to PSA data policy, data governance standards and best practices and document as required

Skills Requirements

• Expertise in Python programming language, in-depth knowledge of AI/ML libraries/techniques and knowledge in statistical methods useful to develop data analytic solutions for a diverse range of use-cases.
• Experience in one of the visualisation tools, preferably Power BI and experience in building data models/cubes using SSAS or Azure Analysis Services
• Full development lifecycle experience for the data analytics solutions such as business & data understanding, data preparation, model development, visualization, validation and deployment.
• Experience in developing AI/ML models in supervised, unsupervised and reinforcement machine learning techniques for a variety of data analytics problems.
• Ability to learn and apply open source data science technologies on large datasets to explore, experiment and generate new insights and develop innovative solutions.
• A good degree in Computer Science, Statistics, Data Management, Engineering and /or Masters in Business Analytics or a related field.
• Effective communicator who can work with diverse stakeholders to define requirements, refine data analytics use cases and present the data insights.
• Strong interpersonal and presentation skills and ability to manage cross cultural differences and sensitivities.

Experience

• At least 4 years of experience as a data science analyst or data scientist in developing data analytics solutions as well as working in a data science team.

Primary Responsibility

• Perform analysis using quantitative and qualitative research techniques.
• Translate internal memo, documents knowledge-based for research journal publishing.
• Perform statistical analysis (t-test, ANOVA etc) on dataset.
• Generate internal memo on research topics.
• Generate report and progress update for customer.
• Performs other duties as assigned by PI or co-investigator in the research team.

Job Requirements:

• Good knowledge and familiarity with research techniques; qualitative, quantitative, desktop, field research etc.
• Bachelor Degree or Diploma with with relevant experience Previous engagement with seniors and seniors related research is an advantage.
• Knowledge of MS Office, Excel software

Reporting to Chief Learning Officer, this position holder is responsible and accountable for leading the design, development, and research for his/her assigned portfolio of existing and new leadership programmes and solutions at HCLI.

Key accountabilities include:

DESIGN: The purpose of this accountability is to think creatively and generate innovative learning solutions.

• Design learning solutions for customised leadership programmes for corporate clients.
• Design new solutions for open enrolment leadership programmes.
• Design includes – but not limited to - content curation and creation, learning design, and innovating on learning solutions, etc.

DEVELOPMENT: The purpose of this accountability is to develop the innovative learning solutions into implementable programmes that produce the desired learning outcomes in support of client’s strategic objectives and learner’s leadership development objectives.

• Develop custom and open-enrolment leadership solutions by collaborating with subject-matter experts, faculty, and partners, etc.
• Development includes – but not limited to – cost and budget estimation, programme evaluations (e.g. after-action review or ‘AAR’), and managing “product life cycles”, etc.
• Development includes – but not limited to – updating existing leadership solutions, grant applications (e.g. SSG funding), and mapping to competency and skills frameworks, etc.

DELIVERY: The purpose of this accountability is to deliver effective learning and a great learning experience for corporate clients and individual learners, and in so doing, deliver on the value created for the client and learner, and capturing the associated value created for HCLI.

• Programme direction.
• Community stewardship.
• Facilitation and learning management.

RESEARCH: The purpose of this accountability is to deepen expertise and thought leadership in leadership for HCLI as a leading institute of leadership development and you as an individual subject-matter expert.

• Conduct research that contributes to building thought leadership on leadership.
• Conduct research that contributes to innovating on learning solutions.
• Research includes – but not limited to – producing articles for publications like HBR and SMR, writing cases, white papers, opinion pieces, etc.

AD HOC

• Lead and manage ad hoc strategic projects.

Knowledge and Skills:

• Digitally savvy – to be familiar with learning apps and virtual learning platforms
• Highly organised with good project management skills
• Highly creative and analytical with good problem-solving skills. Able to get things done in complex situation
• Understand fundamental theories and prevailing practices of corporate learning and leadership development
• Experience in instructional design, training delivery, and programme management
• Ability to interact with clients with a strong sense of customer service
• Confident in communicating with all levels of management
• Resourceful, meticulous and must have good financial sense
• Experience in conducting learning needs analysis and proven ability in designing customised programmes for senior executives, either independently or in partnership with an internal programme development team, that resulted in a high success rate of conversion
• Highly entrepreneurial and strong business acumen backed by a wide business network in Asia and beyond; experience in consultative selling, key account management
• Deep knowledge of the Leadership Development field and an interest and understanding of the emerging trends
• Experience in managing and representing a premium brand such as HCLI to a variety of clients and stakeholders from multinational to privately owned and government organisations
• Experience working in a multinational/international environment, working across cultures, is an advantage
• Excellent interpersonal, communication skills, presentation skills
• Strong project planning and coordination skills
• Able to adapt easily to new cultural environments, and to communicate with people from a variety of linguistic and educational backgrounds
• Good written and spoken English
• Experience in personality and leadership profiling/ assessment instruments will be an added advantage
• Conversant in a second Asian language is a plus

Education:

• Degree Holder in Organisation Development, Psychology, Training or Business. A Masters or PHD Degree will be advantageous

Experience:

• Minimum 5 years of relevant experience in Leadership Development/Executive Education/Learning & Development/ Organisational Development, or related Consulting/Professional experience(s).

Interested applicants are invited to apply directly at the NUS CareerPortal.

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 the NUS AIoT Group, led by NUS Presidential Young Professor Wang Jingxian (https://www.comp.nus.edu.sg/cs/people/wangjx/) in the CS Department of the National University of Singapore. We invite applications for the position of Post-doctoral Researcher. The successful applicant will work with Prof. Wang within the NUS AIoT Group.

We pursue research and develop disruptive technology in satellite network, wireless systems, sensing, and AI. We build working systems, engage with industry (e.g., Microsoft, Google Research, and Amazon), publish top-tier scientific papers, and release software for the research community. Individuals in our group publish in top academic conferences including:

• ACM (Association for Computing Machinery) SIGCOMM (Special Interest Group on Data Communication),
• ACM MobiCom (International Conference on Mobile Computing and Networking)
• ACM MobiSys (International Conference on Mobile Systems, Applications, and Services)
• USENIX (Advanced Computing Systems Association) NSDI (Symposium on Networked Systems Design and Implementation)
• CHI (Conference on Human Factors in Computing Systems)
• ICRA (International Conference on Robotics and Automation)
• Nature Communications

We seek candidates excelling in deep thinking research, advanced development, and fast-paced entrepreneurial execution. Applicants should be fluent in the relevant state-of-the-art research with outstanding programming skills and demonstrate experience in experimentation and implementation.

Qualifications

• Doctorate in Computer Science or a related technical field, equivalent experience, or or expecting to receive it within six months.
• Experience with one or more general purpose programming languages such as C/C++, Java, or Python.

Additional or Preferred Qualifications
• Experience (academic or work related) in one or more areas of computer science.
• Experience contributing to research communities and/or efforts, such as publishing papers at conferences and/or community testbeds.
• Should be able to take initiative, but also work well as part of a team.
• Excellent critical thinking and communication skills.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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 job aims to address some critical issues in the development of a multi-dimensional photodetector capable of simultaneously capturing optical information such as polarization, wavelength, and optical angular momentum. The main targets are threefold:

1. Understand in depth about the fundamental properties of light including helicity, chirality, polarization, and optical angular momentum. Investigate how these light properties interact with materials and/or structures with different symmetry properties. Research directions include chiral / nonreciprocal / nonlinear optical processes, integrated photonic devices, etc.

2. Study the symmetry properties of 2D materials as well as metasurfaces and nanostructures. The targeted design of a multi-dimensional photodetector should utilize these symmetry properties to enhance the effectiveness, robustness, and responsivity of photodetection of the various optical information, including but not limited to polarization and optical angular momentum.

3. Find the practical schemes to implement a multidimensional photodetector by integrating 2D materials / Tellurides with nanostructures that can allow effective, robust, and simultaneous photodetection of polarization, optical angular momentum, etc. The practical devices should also possess ultrathin nature, the ability to convert multidimensional light information to electrical signals, and the ability to operate at room temperature. At last, one or two prototypical designs should be experimentally demonstrated.

Considering the above research targets, the candidate should possess in-depth physical insights and interdisciplinary knowledge of 2D materials, symmetry analysis, metasurfaces etc. Practical experience in the design, fabrication, optical characterization and measurement of optical devices is preferred.

Qualifications

1. PhD degree in Electrical Engineering, Photonics, Physics or relevant area with a strong background in the design, fabrication and optical measurement of 2D materials and/or nanostructure.

2. Working experience in the design and fabrication of 2D material-based optical devices, optical characterization and measurement of optical devices.

3. Mathematics and physics knowledge in band theory, symmetry analysis, optics, and electromagnetics.

4. Technical proficiency:
• Experience in preparation/exfoliation of layered materials for making optical devices;
• Optical path setup and optical measurement under room and low temperature involving the photoluminescence and photodetection of optical information such as polarization and wavelength.

Candidate should have strong publication records in reputed international journals in the field of photonics or optics, specifically focusing on the investigation and manipulation of optical properties of 2D materials and/or nanostructures.

A Research Officer is needed for Nick Barker's Epithelial Stem Cell & Cancer Group.

Key Responsibilities:

The successful candidate will be expected to help manage our mouse colony (implementing and managing complex breeding regimes, weaning, time-pregnancies, surgeries, tail clipping etc). The candidate will be expected to perform these tasks independently after the requisite training has been given.

In addition, he/she will assist research fellows with performing standard lab work and experimental mouse procedures, including tissue processing, histology, and cell culture, as well as contributing to general lab tasks.

Key Requirements:

Bachelor's Degree in biology or related field.

Prior experience in working with mice is highly advantageous, but not essential.

Successful candidates must have a passionate enthusiasm for research, be self-motivated, highly organized, enjoy working as a team and have good communication skills.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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

We regret that only shortlisted candidates will be notified.

Job Description

The Mechanobiology Institute, Singapore is a multidisciplinary institute committed to develop new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through quantitative biophysical approaches, we address major problems in biomedical sciences including pathogenesis (from bacterial to cancer), tissue regeneration, and function.

We are seeking to recruit a Research Associate at the Mechanobiology Institute, NUS, to join Associate Professor Yusuke Toyama's research group. Candidates are expected to have a good understanding and skills in cell and molecular biology. The successful candidate will have the opportunity to work with cutting-edge methodologies and instrumentation that complement and augment the capabilities of individual research laboratories.

Qualifications

1. Master's degree in life sciences or biomedical disciplines.
2. At least 2 years of experience working in a research lab
3. Experience in cell/ tissue culture and molecular biology.
4. Excellent communication and organizational skills.

As a Database Engineer, you will play a crucial role in the design, development, and maintenance of our databases including HPC job, system monitoring, benchmarking, and scientific databases. You will collaborate with cross-functional teams of HPC domain experts, software engineers, and scientists to ensure the efficient storage, retrieval, and analysis of data. This position offers a unique opportunity to contribute to ground-breaking research for our stakeholders.

Key Responsibilities:

• Database Design and Development: Design and implement robust, scalable, and efficient databases and optimize database performance for data storage, retrieval, and analysis.
• Data Integration: Collaborate with stakeholders and NSCC consultants and technical team members to integrate diverse datasets into the database and Implement and maintain data pipelines for seamless integration of new data sources.
• Quality Assurance: Develop and implement data quality control measures to ensure accuracy and consistency as well as monitor and troubleshoot data integrity issues, implementing corrective actions as needed.
• Collaboration: Work closely with cross-functional teams, HPC domain experts, software engineers, and scientists, to understand data requirements and user needs and provide technical expertise and support to ensure effective collaboration.
• Documentation: Maintain detailed documentation of database architecture, data models, and processes and contribute to the development of best practices for data management and storage.
• Reporting: Communicate findings through presentations, and reports for NSCC as well as stakeholders/collaborators.

Qualifications:

• Bachelor"s or Master"s degree in Computer Science, or a related field.
• Proven experience in database design, development, and optimization. Experience with bioinformatics or life sciences is a plus.
• Proficiency in relevant programming languages (e.g., SQL, C/C++, Python) and experience with database management systems (e.g., MySQL, PostgreSQL).
• Familiarity with NoSQL and distributed databases (MongoDB, ElasticSearch, ETCD).
• Experience with server-based and high-performance computing.
• Familiarity with bioinformatics tools and resources, and an understanding of biological data types and formats.
• Familiarity with Linux command line, system administration, scripting, and software tools.
• Familiarity with software version control process and tools (e.g. git, github, gitlab).
• Strong problem-solving skills and the ability to work collaboratively in a dynamic team environment.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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

We regret that only shortlisted candidates will be notified.

Job Description

Singapore is looking for ways to reduce waste and improve food security. Both are accomplished by recycling food waste with black soldier flies (BSFs). By feeding on food waste, fly larvae convert organic matter into compost fertilizer which can be used for high-tech vegetable farming, and into protein-rich feed for fish, chicken and other livestock.

We are currently seeking a motivated and dedicated lab technologist or research assistant to join our team. You will work with other research assistants to oversee the day-to-day operations of the BSF rearing facility and assist researchers and students with their projects. Applicants should be enthusiastic about environmental causes and food security, be comfortable handling insects and food waste, and be comfortable confronting and solving challenges independently.

This position involves working with fresh food waste/scraps, insect larvae and adult flies daily. On-the-job training is provided. Alongside your colleagues, you will be tasked with the following:

● Collecting and preparing food waste for the larvae
● Maintenance of insect cages and breeding facilities
● Overseeing the fly cultures
● Assisting researchers and students with experiments
● Other tasks assigned.

Key requirements for this role include:
• Able to cope with repetitive work.
• Strong problem-solving skills
• Ability to work independently and in a team.
• Good organizational skills
• Comfortable handling food waste and insects
• Experience with maintaining insect cultures is highly desirable.

Qualifications

Bachelor’s degree holder, preferably in fields relating to environment and life science.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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 Department of Statistics and Data Science at the National University of Singapore invites applications for Departmental Postdoc Positions. These non-tenure track positions are aimed at early-career researchers, particularly recent or soon-to-be Ph.D. graduates, with research interests that overlap or complement those of our faculty members.

The Department of Statistics and Data Science is one of the leading departments of its kind in Asia and globally. Comprising close to 40 full-time faculty members and around 70 research staff and PhD students, along with a strong network of industry affiliates, the department fosters a comprehensive and engaging research and educational environment in the areas of statistics and data science.

The postdoctoral positions offer an initial two-year appointment with the potential for a one-year extension. Successful candidates will receive a competitive annual salary of up to SGD90,000, along with generous travel support. Additionally, candidates will be provided with relocation and housing allowance. Teaching responsibilities involve two courses per year.

Qualifications

• Qualifications / Discipline: PhD in Statistics, Data Science, Mathematics or other relevant discipline
• Skills: Able to do independent research.
• Experience: Research experience in statistics, data science, mathematics or other relevant discipline