CORE JOB SCOPE

· Responsible for the planning and execution of routine/shutdown, preventive maintenance of the plant’s process instrumentation, control value, electrical power/distribution system equipment etc to achieve reliability target. Responsible for Energy saving initiatives

· Responsible for facilities management and supervising maintenance & facility team

· Supervise and ensure E & I works, installation and calibration activities are completed in accordance to the company’s guidelines and environmental, health and safety standards

· Ensure data collection and preparation of all reports for efficiency analysis and maintenance

· Maintain GMP & GDP for specification data sheets, drawings, spare parts, ISO and customer audits

· Provide leadership and guidance to overall management off the manufacturing site’s environment, health and safety compliance that are critical to well-being and protection of employees and contractors

· Responsible for the planning of maintenance & facilities budget

· Manage Site, Regional & Global Projects/Initiatives as assigned

· Any other duties as and when assigned by superior from time to time

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Barbaros Ozeyilmaz on energy storage and conversion under a project on Towards Commercializing Monolithic Graphene Nanofoam Supercapacitors for Space Applications: Hybrid Power Applications and Ta Capacitor Replacement.

The main responsibilities of the position include:

• Building upon our ground breaking work in 2D amorphous carbon (Synthesis and properties of free-standing monolayer amorphous carbon (MAC), Nature 577, 199 (2020)), we embark on a bold exploration into the uncharted territory of precisely engineered 3D version of MAC structures. This novel technology, a testament to our team's innovative spirit, holds immense promise for revolutionizing materials science and unlocking a plethora of real-world applications.

• The successful candidates will be conducting their high impact research in -

1. Nanoscale engineering of 3D graphene foam and its supercapacitor application under extreme working conditions which battery cannot cover. New applications in extreme environments such as short run memory and pressure gauges in downhole environment, implantable medical devices, cold temperature aerospace applications and IoT devices etc.

This project is in collaboration with National institute and industries (e.g. ST Engineering and DSO, etc).

2. Hybrid nano-composite 3D foam synthesis for high Energy Battery.

• New battery development with high energy and power densities for automotive, satellite, train & microgrid applications. Targeting new energy conversion/storage application.

Qualifications/Requirements/Other Info

• Qualifications / Discipline: Candidates must hold an internationally-recognized PhD degree (or equivalent) preferably in electrochemistry, material science, Nanoscience, or equivalent. The candidate should have a proven track record of excellence in experimental research.

• Skills: Candidates with experience in energy storage applications (supercapacitors/batteries), characterization and material synthesis are highly encouraged to apply.

• Experience:

>2 years as research fellow level, plus

>3 years research experience Energy storage projects

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on leveraging functional genomics approaches to understand the molecular mechanisms of complex diseases.

The main responsibilities of the position include:
- High-throughput CRISPR/Cas9 screening.
- Bulk and single-cell RNA-seq analysis.
- ATACseq data analysis and TF motif identification.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: PhD degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A bioinformatician/molecular microbiologist is sought to join a team working on metagenome-resolved biogeography and functional ecology of photosynthetic microbial communities under extreme environmental stress.

The main responsibilities of the position include:
1. Analysis of metagenomic sequence data with various packages using the R statistical environment.
2. General molecular microbiology laboratory work including DNA/RNA extraction, library preparation, and sequence analysis.

The position is available for an initial period of 21 months, with renewal subject to performance and funding availability.

Qualifications

• Qualifications / Discipline:
BSc (hons) required, and preferably a MSc

• Skills:
Competence in using R software for bioinformatic analysis of metagenomes is essential, e.g. MEGAN6. Some laboratory experience in molecular microbiology is also preferred but not essential.

• Experience:
At least one year of experience using computational bioinformatic tools in a research environment is required.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

• Position: Medical Writer (Biomedical/Clinical Trial/Research)
• Location: Near Bras Basah MRT station/Bencoolen MRt
• Working Hours: Monday - Friday| 9.00am to 6.00pm
• Salary (commensurate with experience): Up to $4500 + Performance Bonus + Travel Allowance + 14 Days Annual Leave + Medical Benefits and Annual Check-up + Online Learning Portal for self-development + WFH Opportunities
• Duration: 1 Year Contract (RENEWABLE/CONVERTIBLE TO PERMANENT)
• Industry: Digital Media Marketing
• Career Advancement: YES

Responsibilities:

• Scientific bridge between clinical development and commercial
• Functions in pharmaceutical and device. It requires the ability to work closely with medical
• Regulatory representatives, HCPs and KOLs to deliver high quality writing that is scientifically
• Rigorous, patient focused, and in line with the strategic positioning of the pharmaceutical or medical devices products.

Requirements:

• Candidate should preferably possess a first-degree degree in biomedical science; a
• research-based degree (MSc or Ph.D.)
• At least 3-5 years of experience in Medical Communication Agency
• The ability to adapt complex scientific information into concise content will be
• essential.
• Excellent delivery in providing summary for AD Board Meetings and Scientific Conferences.

Email to [email protected]

Do visit Search Personnel Pte Ltd for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Associate Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

• Position: Medical/Clinical Trial/Research Writer (Pharmaceutical/Medical Device)
• Location: Near Bras Basah MRT /Bencoolen MRT
• Working Hours: Monday to Friday| 9.00am to 6.00pm
• Salary (commensurate with experience): Up to $6,500 + Performance Bonus + Travel Allowance + 14 Days Annual Leave + Medical Benefits and Annual Check-up + Online Learning Portal for self-development + WFH Opportunities
• Duration: 1 Year Contract (RENEWABLE/CONVERTIBLE TO PERMANEMT)
• Industry: Digital Media Marketing Agency
• Career Advancement: Career growth plan

Responsibilities:

• Scientific liaison between clinical development and commercial operations in the pharmaceutical and device industries. It necessitates the capacity to
• Collaborate closely with medical regulatory authorities, healthcare professionals (HCPs), and
• Key Opinion Leaders (KOLs) to produce well-crafted content that is scientifically robust,
• Patient-centric, and aligns with the strategic positioning of pharmaceutical or medical device products.
• Remain up to date with recent trends and curate medical topics for scientific meetings, thereby fostering opportunities to enhance patient outcomes.

Requirements:

• Candidate should preferably possess a first-degree degree in biomedical science; a
• research-based degree (MSc or Ph.D.)
• At least 3-5 years of experience in Medical Communication Agency or equivalent
• Experience in managing topics and programme for AD Board Meetings and Scientific Conferences.

Email to [email protected]

Do visit www.facebook.com/search.personnel for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Associate Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on performing snRNA-seq experiment and leveraging functional genomics approaches to understand the molecular mechanisms of type 2 diabetes.

The main responsibilities of the position include:
- Nuclei isolation of adipose tissue.
- Basic snRNA analysis of output data.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: Bachelor or Master degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

• Skills: Cell/molecular experiment, transcriptomics, genomics, mouse work.

• Experience: Cell/molecular experiment, transcriptomics, genomics, mouse work.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

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.

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.

This role is funded by a Pharma Innovation Programme Singapore (PIPS) research grant. The primary responsibility of the role is to deliver a novel software solution, which supposedly will run on discrete-event simulation (DES) and deep reinforcement learning (DRL) optimization algorithms, to help pharmaceutical companies enhance the agility of their multi-product manufacturing process in an uncertain environment. To this end, by working closely with subject matter experts from the PIPS member companies (i.e., GSK, MSD, Pfizer, and Syngenta), you will:

• design and execute survey / interviews with subject matter experts to understand the agreed aspects of agility and use them as the basis for this project
• develop the DES model libraries on the AnyLogic platform to simulate different kinds of activities involved in the full pharmaceutical supply chain
• develop the DES plant model optimizer using explainable DRL algorithms with user-defined objective functions
• demonstrate the utility against company-supported use cases
• prepare a user manual to help the companies quickly grasp the knowledge to use or modify the novel utility

Key Responsibilities:

1. Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
2. Undertake these responsibilities in the project:visit PIPS member companies’ production sites in Singapore for data collection and model building
   train and validate the DES models using historical plant data or synthetic data
   develop the DES model optimizer by implementing appropriate DRL algorithms and user-defined objective functions (e.g., CAPEX/OPEX, sustainability metrics, etc.), with explainability on the suggested decisions from the algorithms
   present research findings in meetings with PIPS member companies; prepare peer-reviewed publications on the findings
   guide junior researchers and undergraduate students on their research activities
   engage and communicate with vendors/suppliers for purchasing software, and visit vendors’ facilities for both software evaluation and training purpose.
   
3. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

Job Requirements:

1. PhD in Chemical Engineering, Computer Science / Engineering or related fields. Master’s degree candidates with significant computational research experience may also be considered.
2. Previous experience with DES / Deep learning using neural networks / DRL / Explainable machine learning / AnyLogicâ would be advantageous.
3. Interest and enthusiasm for academic research to be applied in the pharmaceutical industry.
4. Good interpersonal, communication and technical writing skills. Good problem-solving skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow (Postdoc) will conduct research in the field of coastal engineering, in terms of wave dynamics and sediment transport. Coupling of different types of wave signals such as ship wakes, wind waves will be considered. The study of sediment transport will take the input from the wave dynamic simulations. Numerical simulations and experiments will be conducted.

Job Requirements

• Candidates with background in coastal and ocean engineering, especially with experience and knowledge in experiments and numerical modelling, hydrodynamics, wave theories, and sediment transport are encouraged to apply.
• Possess a PhD degree with relevant research experience.
• Strong writing skills.
• Good time management and data analytic skills.
• Excellent interpersonal and communication skills.
• Strong quantitative analysis.
• Having prior good publication record is advantageous.
• Open to fixed-term contract.

We are seeking a highly motivated and enthusiastic Research Officer (wet or dry) to join our team and work on Spatial and Single-Cell Genomics projects. The successful candidate will have a strong background in molecular biology, genomics, or a related field, and will be working closely with the research team for designing, executing and analyzing experiments related to drug response and drug delivery based on spatial transcriptomics and single-cell genomics.

Key Responsibilities:

Wet-capabilities

• Design, troubleshoot and execute experiments to investigate gene expression in single-cell and/or spatially resolved tissue samples
• Co-develop and optimize experimental protocols for single-cell genomics and spatial transcriptomics

Dry-capabilities

• Process and analyze large genomic data from transcriptomic and genomic assays including single-cell RNAseq, spatial transcriptomics, and other sequencing technologies (e.g. long reads)
• Co-develop algorithms and pipelines for single-cell genomics and spatial transcriptomics

General capabilities

• Maintain detailed experimental records and contribute to scientific discussions and reports (internally)
• Work collaboratively with other members of the team to develop and implement research strategies

Qualifications:

• A Bachelor's or Master's degree in molecular biology, biochemistry, computer sciences, bioinformatics, or a related field
• For wet candidates: strong experience with molecular biology techniques, including (clinical) sample handling, PCR optimization, tissue culture, RNA isolation, and sequencing library preparation. Experience with microscopy, image analysis, and statistical analysis would be advantageous
• For dry candidates: Deep experience in single-cell genomics and/or spatial transcriptomics. Proficient in data analysis tools such as R, Python, familiar with analytical tools and algorithms. Comfortable with large data handling and processing.
• Ability to work independently and collaboratively with other team members
• Excellent organizational and communication skills

This is an exciting opportunity to join a dynamic and growing research team, with excellent prospects for career development. If you are a highly motivated and enthusiastic individual with a passion for molecular biology and genomics, we encourage you to apply.

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.

An exciting opportunity has risen for a highly motivated Senior Research Fellow to join the Singapore Institute for Clinical Sciences (SICS) to work with a collaborative and multidisciplinary team for the project “Completing the Picture: Strengthening Fathers" Roles in Early Child Health and Neurodevelopment Through Targeted Interventions”. The SRF will be responsible for leading data-intensive quantitative research on the interactions between familial environmental, focusing strongly on comparing paternal factors with maternal and other household member factors, and the broader environment (e.g. built and natural environment) on child health, well-being, and development. The SRF will utilize skills in big data management, especially harmonizing and linking geospatiotemporal data with longitudinal cohort data, as well as quantitative causal inference and quasi-experimental techniques, to produce new scientific knowledge, write manuscripts, create presentations and reports, and brief collaborators and other stakeholders (academic, government, community, industry, etc.) as needed.

Job Responsibilities:

The successful candidate will be expected to engage in the following:

• Big data (geospatialtemoporal, multi-modal longitudinal cohort) management, processing, and analysis from a variety of sources (academic, government)
• Conduct quantitative causal inference analyses, e.g. quasi-experimental, instrumental variable, fixed-effects, difference-in-difference, etc.
• Where appropriate, conduct or advise on economic considerations in research, practice, or policy (e.g. program evaluation, cost-benefit analyses)
• Proactively seek out obtain, or develop new data sources that will support or expand the research
• Prepare reports and presentations for internal and external stakeholders
• Leading communications with internal and external project stakeholders, including coordinating and conducting briefings
• Write manuscripts for publication in high-impact journals
• Work closely with the PI and research team while showing a high degree of autonomy and proactiveness

Job Requirements

• Qualification & Field of Study: PhD in relevant quantitatively-focused discipline (e.g., Biostatistics, Economics with focus on Econometrics and causal inference methods).
• Min. Years of Experience: 3 years
• Other Requirements (e.g. Skills, Competencies):
  • Experience and expertise in joining geospatialtemoporal data to longitudinal cohort data and harmonizing data across cohorts for the purposes of data analysis
  • Experience and expertise obtaining, constructing, or developing measures and indicators of built and natural environment, human behavior (movement/migration), and other areal characteristics
  • Strong quantitative skills, particularly in causal inference
  • Strong knowledge of statistical programming in Python and/or R
  • Strong skills in data management and workflow documentation and commitment to open and reproduceable research
  • Evidence of peer-reviewed publications and conference papers in line with career stage
  • Well-organized with strong attention to detail
  • A team player with an ability to work independently
  • Self-motivated in striving for the most rigorous science

Contact

For more information about the position, potential applicants are encouraged to contact Dr. Keri McCrickerd ([email protected]) directly with any questions.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow (Postdoctoral) position is available immediately in the laboratory of Assistant Prof. TANG Wei at the National University of Singapore (NUS) (https://pharmacy.nus.edu.sg/team/asst-prof-tang-wei/).

We are looking for highly motivated and competent research fellows to work on research focusing on building new generation drug delivery technologies for disease visualization, precision nanomedicine, vaccine delivery and immunotherapy. The successful candidate will independently undertake advanced research, lead and promote activities designed to develop collaborative research, collect and analyze research data, prepare reports/presentations/manuscripts, and supervise graduate/undergraduate students.

Qualifications

Qualifications:
o PhD degree in chemistry, life sciences, materials science, bioengineering, or related field.
o Good publication records in peer-reviewed journals.

Experience/Skills:
o Proficient in nanomaterial design and synthesis or molecular biology and immunology.
o Experience with animal handling and cell culture techniques.
o Be able to independently lead projects and effectively work in a team.
o Strong critical thinking and problem-solving skills.
o Excellent project management skills, communication skills, and great ability in written and spoken English.

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 Institute for Functional Intelligent Materials (I-FIM) is the world’s first institute dedicated to the design, synthesis, and application of Functional Intelligent Materials (FIMs). Its global vision is to create a platform to develop FIMs with predetermined properties and autonomous, dynamic functionalities which can respond to changing environmental conditions. I-FIM will then investigate the use of such materials for smart applications in various sectors of technology.

Our outstanding researchers and excellent facilities create an energetic environment for ground-breaking science and world-class training. We are hosted by the National University of Singapore, a globally leading research university, empowering multidisciplinary research that spans cutting-edge approaches from the biological, computational, physiochemical and engineering sciences.

I-FIM has an opening for Visiting Research Assistant Professor for outstanding candidates to expand our current faculty to complement existing strengths and seed new strategic directions.

Job Requirements

The Institute for Functional Intelligent Materials (I-FIM) is seeking candidate with the following experiences and qualifications:

• PhD in Physics
• At least 5 years academic experience in quantum 2D materials and technology, ability to analyse electronic transport properties, measuring low temperature quantum Hall and develop advanced nanofabrication with 2D materials
• Ability to forge partnership with I-FIM to support international collaboration research in quantum technology and joint application of international collaborative research grants
• Distinguished publication records

UWCSEA East has a full-time vacancy for a Teacher of High School Chemistry and Science from August 2024. The appointee will teach IB Diploma Chemistry and Grade 9/10 Science. Ability to teach other subjects would be an asset.

The Science Department is composed of enthusiastic and dynamic teachers who work in a very well-resourced environment for learning. Teaching takes place in dedicated science classrooms that are part of a large, vibrant science faculty at UWCSEA.

Please note that to apply for this role, you must have an internationally recognised qualification and reside in Singapore.

By applying for this job, you are committed to meet the vaccination requirement by the Singapore Government. You may refer to https://www.mom.gov.sg/covid-19/vaccination-requirements-as-a-condition-for-mom-passes for the latest requirement.

Main Responsibilities

• Teachers should be willing to contribute positively to the collaborative culture of the Science and broader High School teams.
• Teachers should construct learning experiences that challenge students, support the diversity of learners in each classroom and demonstrate a strong commitment to concept-based teaching and learning.
• Teachers should ensure assessments support ongoing learning and provide timely, relevant and appropriate feedback to students on formative and summative assessments.
• Teachers should demonstrate effective classroom management that shows an understanding of the academic, social and emotional dimensions of learning.
• Teachers should keep parents informed about the learning of their children, and be proactive in communication with parents.

Expectations and Standards

• Follow the UWCSEA Professional Code of Conduct and Safeguarding Code of Conduct.
• Teach in line with the UWCSEA Teacher Standards

Person Specifications

• A good degree and a recognized teaching qualification or certification are expected.
• Teachers should be willing and eager to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education and Service.
• Academic expectations include enthusiastic participation in Professional Learning.
• Pastoral expectations include the leadership of a mentor group, unless the teacher is exempted due to other responsibilities.

Application

The UWC Mission is to make education a force to unite people, nations and culture for peace and a sustainable future. We are committed to creating a community in which all members feel safe and secure, and know that their authentic selves and individual differences are accepted with respect and care. At UWCSEA, we acknowledge that diversity, equity, inclusion and justice (DEIJ) is an ongoing and evolving process and strive to create and sustain a sense of belonging for all members of our community, past, present and future. All qualified applicants, including those who identify as a part of marginalized group(s) and individuals with (dis)abilities are all encouraged to apply. Our school is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices and all appointments are subject to interview, satisfactory references, identity and criminal record checks.

Wide Band Semiconductors group of IMRE is looking for a highly motivated Senior Scientist for a project related to SiC bulk growth. The project aims to develop SiC boules using both resistive and inductive heating technologies. The candidate will work together with the wide bandgap R & D team to perform materials growth and characterization.

Main Responsibilities:

• To grow SiC bulk crystals for the development of 4H-SiC substrates
• Develop thermal models and growth iterations to reduce defect density in bulk SiC
• Project execution with team work to meet target deliverables from various types of growth furnaces
• Provide technical inputs to metrology team for analysis of wafering results and preparation of reports

Job Requirements:

• PhD in Physics/Materials Science/Engineering, or related fields.
• Experience in bulk crystal growth, Epitaxy of SiC or other wide bandgap materials
• Prior hands-on experience on crystal growth processing equipment, data acquisition and analysis, good communication skills

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 Department of Family Medicine (DFM) at NUHS was established in 2017 with the aim of supporting the Division of Family Medicine within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS). DFM is composed of a multidisciplinary team of clinicians, researcher, medical educators, and administrators. DFM provides an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goals of achieving achieve excellence in Family Medicine education, research and practice.

As part of our efforts to significantly increase our research capacity, we are looking to appoint a highly motivated and skilled Research Assistant to support DFM’s research workplans and activities. He/she will play a key role in strategizing and supporting in developing and expanding DFM’s research

capabilities to achieve its research mission of improving the lives of people receiving primary care.

Our research spans across a wide range of areas: chronic diseases, including mental health, cancer care and multimorbidity; healthy longevity; family orientation; and quality of care, including continuity and coordination.

Qualifications

• Bachelors or Masters in Life Sciences, Health & Social Sciences
• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting.
• Advise department researchers in matters pertaining to local and institutional research compliance and ethics regulations.
• Excellent organisation, coordination, and problem-solving skills
• Excellent interpersonal, written, and verbal communication skills

Main Duties and Responsibilities

1. Support department with grant and ethics applications. Liaise with relevant stakeholders in preparing research agreements

• Monitor and advisor for grant submissions and fund utilisation.
• Support in preparing grant applications, propose budget and plan project timelines for submissions
• Support in ethics applications, track progress, answer enquiries when required.
• Liaise with stakeholders in drafting research agreements to ensure compliance.

Main Duties and Responsibilities

2. Grants Management & Administrative Duties

• Track grants’ utilisation on a monthly basis. Generate and prepare financial reports to update department.
• Support academic staff in preparing, submitting and following up on grant variations.
• Support in the recruitment of research expertise to expand the department’s capabilities. Draft job descriptions, arrange interviews etc.
• Support procurement and finance matters related to research projects.

Main Duties and Responsibilities

• Manage the online repository of documents related to research matters to ease use by department members.
• Manage projects’ timelines to ensure it is on track to achieve its desired outcomes.
• Prepare periodic progress reports and presentations to update senior management and stakeholders.
• Secretariat duties such as organising regular meetings. Plan and collate agendas, prepare discussion materials, record minutes and track progress of follow up items.

Main Duties and Responsibilities

3. Research Events and Outreach

• Support research unit in identifying speakers and topics for the regular research forums and workshops.
• Design and circulate fliers, book venues, set up virtual meeting, apply for CME points and submit attendances to Singapore Medical Council (SMC).
• Provide onsite support for events held in person.
• Collate feedback and prepare evaluation reports for research unit.
• Organise overseas experts’ visits by planning programme, booking flights, accommodation etc.

Application

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the Dept of Family Medicine.

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 applied research project as a part of Infocomm Technology cluster at SIT. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims to overcome the issues raised by using real-world PII data.

Key Responsibilities:

• Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Design a Natural Language Processing algorithm for identifying Personal Identity Information data.
• Design and evaluate privacy preserved Generative AI-based algorithm for generating synthetic data.
• Validate integrated system functionality and performance.
• Help produce progress reports and technical papers on research work.
• Ensure compliance with Work, Safety and Health Regulations.
• Assist in project resource requirements and managing student projects.

Job Requirements:

• Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent.
• Have relevant research/industry experience in Machine Learning, AI and Privacy.
• An excellent team player who can cope with an agile and fast-paced environment.
• Good communication and interpersonal skills.
• Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.

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 Institute for Applied Learning Sciences and Educational Technology (ALSET) (to be renamed Centre for Embodied Learning & Living (CELL)) has an opening for a Senior Embedded Systems Engineer (Research Associate). As the Senior Embedded Systems Engineer of our research center, you will play a key role in developing innovative solutions that enhance embodied learning.

As a Senior Embedded Systems Engineer at CELL, you will be a vital contributor to our research initiatives, specializing in the design, development, and optimization of embedded systems that support embodied learning technologies. Working in a collaborative and multidisciplinary environment, you will lead the implementation of hardware and software solutions, ensuring they align with the center's research objectives and contribute to the overall success of our research initiatives. You will report to the Director of the center.

The major responsibilities include:

• Lead the prototyping and development of technologies that embody research insights, ensuring feasibility and scalability
• Collaborate with researchers to understand the theoretical underpinnings of embodied learning technologies
• Translate research findings into practical engineering solutions with a focus on real-world applicability
• Engage with educators and educational institutions to understand needs and challenges
• Customize and adapt embodied learning solutions to suit different educational contexts
• Work closely with researchers to understand the unique requirements of embodied learning projects and contribute technical expertise to enhance project outcomes
• Prepare reports and presentations to communicate progress and outcomes to both technical and non-technical stakeholders

Qualifications

• Masters in Engineering or equivalent
• At least 10 years experience in designing Embedded Systems, Internet of Things, Wireless Sensors, and Digital Signal Processing
• Knowledge of human-computer interaction (HCI) and user-centered design principles
• Experience in developing high fidelity prototypes ready for field testing
• Experience working with interdisciplinary teams and translating research findings into practical applications.
• Excellent written and verbal communication skills
• Experience in Entrepreneurship
• Solid organizational skills including attention to detail and multi-tasking skills
• Experience working with cross-functional teams in a dynamic environment

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 in Investigational Medicine Unit, Department of Medicine, Yong Loo Lin School of Medicine. Investigational Medicine Unit (IMU) was established to lead and facilitate investigational medicine research within NUHS through collaborations with academics and industry partners to translate laboratory discoveries. For more information on the department is available at https://medicine.nus.edu.sg/imu/.

Appointments will be made on a yearly contract basis, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the trial on time in accordance with GCP, regulatory guidelines and institutional policies. The RA’s principal role will be to work in general practices such as recruitment, data collection, data entry and analysis.

Main Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in hospital to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Oversee the general management of the project;
2. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
3. Undertake the day to day running of the project at the study site, e.g. Collaborate with team members at the study sites, recruitment, data collection at hospitals/participants’ homes;
4. Conduct literature searches, using SPSS to enter data, and analyze data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. holds a Bachelor degree in nursing/medicine/science or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of applications, e.g. ICH-GCP, BCLS, EMR, MS office, PowerPoint;
4. have experiences in clinical research preferred.

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

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

Wide Band Semiconductors group of IMRE is looking for a highly motivated Senior Scientist for a project related to SiC bulk growth. The project aims to develop SiC boules using both resistive and inductive heating technologies. The candidate will work together with the wide bandgap R & D team to perform materials growth and characterization.

Main Responsibilities:

• To grow SiC bulk crystals for the development of 4H-SiC substrates
• Develop thermal models and growth iterations to reduce defect density in bulk SiC
• Project execution with team work to meet target deliverables from various types of growth furnaces
• Provide technical inputs to metrology team for analysis of wafering results and preparation of reports

Job Requirements:

• PhD in Physics/Materials Science/Engineering, or related fields.
• Experience in bulk crystal growth, Epitaxy of SiC or other wide bandgap materials
• Prior hands-on experience on crystal growth processing equipment, data acquisition and analysis, good communication skills

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.

COMPANY DESCRIPTION

Mediacorp is Singapores largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Conduct in-depth research on various topics, including cultural, historical, and social aspects, as well as professional jobs, and thematic elements relevant to the dramas setting and themes.
• Collaborate with the writing team to provide accurate and compelling information that enhances the authenticity and richness of the storyline.
• Stay updated on industry trends, audience preferences, and competitor strategies to contribute valuable insights to the production process.
• Assist in script development by providing detailed background information, references, and supporting materials.
• Establish collaborations with external experts, consultants, and historians to ensure accuracy and authenticity in the portrayal of specific topics.

• Diploma / Degree with 3-4 years of working experiences.
• Passion for the media industry.
• Strong communicator with a flair for Chinese drama writing
• Excellent research skills
• Effectively bilingual in English and Chinese, with a strong command of Chinese (written and spoken) for business purpose in Chinese Drama Productions Team.

Responsibilities:

1. Collaborate with cross-functional teams (i.e., A*STAR Research Institutes, A*STAR Biomedical Research Council (BMRC), A*STAR Science and Engineering Research Council (SERC) and Innovation & Enterprise (I&E), Corporate Group and HQ Procurement) to forecast demand and to identify, execute new and/or existing Demand Aggregation projects in Consumables and Services to achieve cost savings and efficiency.
2. Negotiate contracts, terms, and conditions with suppliers.
3. Managing a list of approved suppliers and perform as functional bridge amongst suppliers as well as internal stakeholders. Evaluate and select suppliers based on performance and quality.
4. Build and maintain strong relationships with key suppliers to ensure a stable supply chain.
5. Coordinating the administrative tasks (i.e., business review meetings, etc) with the suppliers.
6. Preparing and populating monthly reports.
7. Participating and assisting with ad-hoc projects.

Requirements:

1. Degree in any relevant fields with at least 3 years of relevant experience
2. Experience in biomedical or engineering consumables purchasing is advantages
3. Possess strategic thinking skills and attention to details.
4. Strong team collaboration skills.
5. Adaptability and ability to thrive in a fast-paced environment.
6. Strong analytical and problem-solving skills.
7. Excellent negotiation and communication skills.

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

We have openings for talented scientists who are ready to take up a leadership role in our group and to spearhead new initiatives and provide guidance to junior members. You will be part of a well-funded initiative to create hybrid systems with superconducting circuits and rare-earth ions for quantum information processing. If your profile includes an inclination for nano-fabrication, you may be working on the following:

• Leading the measurement of superconducting circuits in state-of-the-art systems;
• Operating dilution refrigerators (Bluefors LD400); and large superconducting electro-magnets (up to 1 Tesla);
• Mentoring graduate students;
• Spearheading the development and fabrication of chips that combine superconducting circuits and rare-earth ions (including on-site lithography and metal deposition);
• Exploring novel fabrication methods to couple rare-earth ions in solid-state with integrated optics and superconducting circuits;

Job Requirements

You will work closely with the PI to develop future experimental goals and shape the general research direction of the group. We aim to provide a challenging and supportive environment to perfect your research leadership skills and get ready for your next career step. You will be evolving in Singapore's highly fruitful Quantum Ecosystem that provides ample opportunities for funding and career prospects. Postdoc applicants should have proven research experience and have a strong interest in quantum technologies as well as:

• PhD in Experimental Physics or Engineering;
• PhD working on superconducting circuits, spin defects in solid-state, integrated optics or quantum optics experiments;
• A good knowledge of quantum mechanics / quantum optics is required.

More Information

We are strongly committed to ensuring the wellbeing in our group . We provide good benefits, a good work-life balance, and have multiple trained peer-supporters.

For enquiries and details about the position, please contact Prof. Steven Touzard at [email protected].

Please include your consent by filling in the NUS Personal Data Consent for Job Applicants.

Applications should contain your latest CV and a description of your research interests.

About the Group

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