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

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology with at least 5 years of relevant experience
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous

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

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous

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

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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.

PhD and Postdoctoral positions in single cell algorithms and data analytics: Analysis of Human diversity in the Human Cell Atlas (HCA)

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• Experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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

Job Description:

Dissecting the metabolic control of cancer cell states

Job Requirements:

• PhD in molecular biology, genomics, or a related field
• Conduct wet-lab experimentation, writing up projects and manuscripts, mentoring students, managing logistics, collaborating with clinicians and partners
• Ability to work independently and collaboratively with other team members
• Excellent organizational skills and attention to detail

*candidates may also be considered for positions in other laboratories

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.

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 Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join NUS Centre for Trusted Internet & Community as a Research Associate, details are as follows:

We are seeking an enthusiastic and capable full-time Research Associate to work on a project about assessing the impact of digital information resilience, funded by the Ministry of Education AcRF Tier 3 grant. The contract is renewable up to 3 years.

The successful candidate will assist the funded research project entitled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”. The candidate will work with an interdisciplinary team of scholars based in Singapore to advance research and knowledge on digital information resilience. The project aims to identify and measure digital information resilience for digital readiness, inclusion and safety based on an original indicator framework.

The successful candidate will assist to develop new indicators for measuring digital information resilience. They will conduct interviews, facilitate focus groups, develop and implement surveys, and code the data-sets using qualitative and quantitative research methods. They will also be required to support project management, research admin and deliverables such as reports/journal articles, workshops and webinars.

Qualifications

• At least a PhD or Masters degree or equivalent in the Social Sciences/Humanities, and demonstrated research experience in communications and media studies, including digital media policy and regulation.
• An interest and knowledge in digital wellbeing, information resilience, digital inequality/divide, and new media will be a bonus.
• Good project management, communications management, data administration skills, and an aptitude for working in an interdisciplinary team environment;
• Research experience in qualitative research (e.g., interview, focus groups) desirable;
• Strong research skills and experience in using (or willingness to learn) qualitative data analysis software (NVivo);
• Excellent command of spoken and written English, and the ability to write for a variety of audiences;
• Strong ability to perform editing work on manuscripts;
• Organizational skills for workshops and webinars;
• Ability to create and maintain a project website and social media.

The Laboratory of Biodiversity Genomics at GIS is seeking a highly motivated and skilled individual to join our research team as a Research Officer with expertise in Plant Molecular Biology. The successful candidate will play a key role in advancing our understanding of plant genetics and molecular mechanisms through the application of cutting-edge techniques, including plant-pathogen interaction studies, tissue culture and CRISPR editing in plants. This position offers an exciting opportunity to contribute to groundbreaking research in plant genomics and urban agriculture.

Key Responsibilities:

• Optimize and troubleshoot plant tissue culture protocols. Optimize CRISPR editing in plants for genetic manipulation.
• Execute DNA/RNA extraction and analysis for plant transcriptome studies.
• Conduct plant-pathogen interaction studies to unravel molecular mechanisms.
• Assist with plant growing in hydroponics systems to support experimental needs.
• Conduct plant phenotyping to analyze and characterize plant traits.
• Collaborate with team members to ensure the successful execution of research projects.
• Follow protocols precisely and maintain detailed records of experimental procedures.

Requirements:

• Bachelor/Master Degree in a relevant field with previous experience in a research laboratory, particularly in plant-related studies.
• Proficiency in plant molecular biology techniques and plant phenotyping
• Experience in optimizing and troubleshooting tissue culture protocols for various plant species (added advantage).
• Excellent communication skills and the ability to work both independently and collaboratively.
• Highly motivated individual with excellent organizational skills and attention to detail.

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.

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 mission of the Centre is to improve population health and well-being by accelerating the use of behavioural and implementation science in health policy and practice.

We are looking for an individual who is passionate about improving health and well-being for everyone, through approaches that bridge research, community and government.

Responsibilities include:

• Work hand-in-hand with Directors, Principal Investigators and Visiting Professors, to develop strategy that meets overall research, translation, implementation and education objectives of the Centre.
• Establish an independent research agenda through collaborations with health institutions, government agencies and private sector through internal or extramural funding
• Represent a core part of the leadership team for programs on public policy and research implementation and for outreach to professional bodies
• Oversee implementation of education activities of the Centre for Behavioural and Implementation Science Interventions (BISI) under NUSMed.
• Oversee research and education staff supervision and mentorship

Qualifications

• An advanced degree in behavioral science, Biomedical science, psychology and other related disciplines
• At least 8 years working experience, with 3 – 5 years of this time previously committed to work in the science or health sector interface with policy, implementation, public administration and government.
• Prior demonstrated leadership and managerial expertise is essential, as this role requires the candidate to build team capacity and expertise in a growing field
• Excellent written and verbal communication skills in English
• Ability to manage multiple, diverse stakeholders, and communicate effectively
• An analytical mind with experience in program design and management (e.g. assessing evidence, proposals) in the public sector, and the ability to package and communicate information effectively