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.

Middle and High School Science Teacher

Start Date: 1st August 2024

The German European School Singapore (GESS) is looking for experienced Middle and High School Science Teacher for Grades 6-12.

In your teaching commitment at GESS, you will need to take on the following responsibilities where you will be expected to:

· Develop a strong relationship with all parents and students

· Be a role model who mentors and guides students to ensure they meet their full potential

· Actively review student assessment data, including academic, behavioral and social/emotional, to set learning goals, develop student agency and put in place interventions to ensure successful learning of each individual

Experience and Qualifications

• Recognised teaching qualification (minimum B.Ed or PGCE equivalent)
• At least 4 years teaching experience
• Knowledge, understanding and teaching experience of the IB Middle Years Programme and IB Diploma Programme
• Appropriate Health and Safety training for taught subject areas (e.g. for PE, first aid and swimming training certifications)
• Articulate and effective written and oral communication in English
• Ability to work collaboratively, professionally and effectively within a team
• Experience of working in an international school setting advantageous
• Willingness to adapt to and embrace a new school environment
• Willingness to contribute and champion educational change that supports best practice and improve student learning

Professional Expertise

• Cognitive Activation / Pedagogical Subject Knowledge: The teacher has a deep understanding of the curriculum, pedagogy, subject content, and the developmental needs of students to effectively provide rich learning experiences.
• Classroom Management: The teacher understands the importance of establishing routines and procedures and providing a safe, supportive, student-centred learning environment.
• Formative Assessment: The teacher can effectively use differentiated assessment tools and strategies and understands how to make accommodations for individual students that drive learning forward.
• Student Well-being & Safeguarding: The teacher is a caretaker of the student’s social health and emotional well-being. They support healthy peer relationships and interactions. At the same time, they are guiding individual emotional, well-being and social development.
• Professionalism: The teacher is committed to professional ethics, international-mindedness, and the school’s mission; collaborates and communicates appropriately and takes responsibility for professional growth that enhances student learning.

Keen to collaborate and share your specialist expertise, you will be a fitting ambassador for the school. You will communicate with confidence across diverse audiences and situations, using your expertise to build strong relationships across the GESS community.

Our School

The German European School Singapore (GESS) is a multi-lingual, not-for-profit, German international school in Singapore with a distinct European flavour. As an accredited ‘Excellent German School Abroad’, the German Section of GESS offers all major German school leaving certificates.

Our European Section offers tuition in English for students from grade 1 - 12 across all three IB programmes (the PYP, the MYP and the IB Diploma Programme) as an authorised IB World School.

Children aged 2 years onwards can enroll in our Preschool where children are following the PYP programme in German-speaking, English-speaking or bilingual groups. In addition to an outstanding academic education, GESS strives to teach students community values such as respect, openness and diversity.

To Apply

We offer an exciting working environment in an international and cooperative team. Your application should include a letter of application and your complete resume. Please indicate your reasons for applying for the position.

Our Selection Process

At GESS we adhere to fair employment practices that consist of hiring practices that are fair, merit-based and non-discriminatory.

We are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and child protection as we promote the welfare of all our pupils irrespective of race, ability, religion, gender or culture.

All post holders are subject to appropriate vetting procedures including satisfactory reference and background checks and the offer of employment will be subject to the completion of these.

Please note, that only shortlisted candidates will be notified.

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.

Data Science & AI Director

Location: West

Working Hours: Monday - Thursday (8.30AM - 6.00PM), Friday (8.30AM - 5.30PM)

This incumbent is responsible to lead in the research & development, strategy, architecting, planning and delivery of data science capabilities (e.g. Artificial Intelligence Engineering, Data Engineering, Cognitive Computing and Decision Science), to transform and support the organisation’s overall sense making capabilities.

Responsibilities:

(1) Support the organisation’s transformation into a data-driven organisation by charting the strategic directions to design, develop and deliver Data and Analytics capabilities that includes:

• Transform the team to deliver next-generation data and analytics capabilities that support rapid on-boarding of data sources, high-scalable architecture that empower both employees and data scientist to self-serve to a suite of data products, ranging from data-self-serve to analytics-as-a-service.
• Develop organic Data Engineers for improved data management, to ingest data, design and architect data pipelines, data architectures for different data consumer groups.
• Develop organic Data team to exploit all data to harness new insights and support better sense making capabilities.
• Develop roadmaps to deliver cutting-edge sense making capabilities that harness all data types such as high velocity, structured, unstructured, images, videos, geo-location, signal, etc.
• Drive data analytics and AI/ML models for big data analytics, and advance dashboarding for data and insights visualisation, including GIS and LLM/GenAI technology.
• Guide new data-driven approaches for the purpose of generating operational insights that address operational challenges in a proactive manner.
• Collaborations with partners and stakeholders to research in advance AI/ML model to solve complex and/or wicked problem statements beyond Data Science, when no readily available solution can be found in the market.
• Proliferate and upskill Data Science competencies within organisation, including supporting relevant training to upskill data analysis/data science proficiency levels.

(2) Ensure timely delivery and implementation of the enterprise data and sense making projects that include data architectures (ingestion, storage, acquisition, validation), data exchanges, big data analytics platforms, user data and analytics systems.

(3) Lead strategic discussions with senior management and key stakeholders to ensure successful delivery of projects and capabilities.

(4) Act as the organisation’s Chief Data Officer and drive the following initiatives:

• Work with governance units to ensure data security governance complies with the prevailing policies and addresses all matters relating to data governance and solutions required to ensure secured, timely and efficient delivery of data to the respective stakeholders.
• Drive the management, use and sharing of data in a secure manner, and plug any gaps to comply with organisation guidelines.
• Define the organisation’s data strategy, goals, polices and management of organisation’s data assets, and coordinate returns for organisation’s indices.
• Raise the staff’s awareness on data policies, procedures and promote culture of data privacy and security.
• Drive data analytics adoption within the organisation and promote data-driven business decisions.

(5) Work with users to identify appropriate Data Science solutions to better users’ current outcomes, bring new or additional value to their operations, and/or create new/transformative capabilities for the users, such as:

• Lead users and diverse stakeholders to understand and identify users’ challenges and co-define problem statements where Data Science solutions can mitigate these challenges.
• Work with users and multi-disciplinary technical/specialist teams to scope and formulate problem statements and identify the appropriate Data Science solutions to achieve the best outcomes to these problems.
• Manage the proper resourcing of projects with the right people with the right competencies and expertise; influence and negotiate with stakeholders to secure the required resources.
• Degree in Engineering/Computer Science/Information Technology or relevant disciplines.
• Relevant working experience in IT environment including a minimum of 8 years in a leadership position managing data analytics and/or Data/AI product development team.

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.

Responsibilities:

• Gather and analyze user requirements and translate them to business solutions
• Design, write and implement efficient code to preprocess data, train, evaluate, test and deploy models
• Plan, manage and lead data science projects
• Develop machine learning and deep learning models for production level
• Improve and manage existing models and systems
• Guide the internal team on technical details and project development
• Present insightful data outcomes to project stakeholders

Requirements:

• Bachelor’s Degree in Computer Science, Science/Engineering field or equivalent
• At least 2 years’ experience in Data Science related function
• Proficient in Python programming and common libraries for data analytics, machine learning and deep learning (pandas, numpy, scikit learn, keras etc)
• Good understanding of machine learning/deep learning algorithms and their applications
• Knowledge in use of SQL and/or noSQL databases (postgres, oracle, MongoDB etc.)
• Familiarity with implementing models at production level
• Experience with data visualization tools such as Power BI, Tableau
• Hands-on practical experience on other data science development in languages such as R, Java, C++, etc
• Experienced in manufacturing industry is advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: 23985

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

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

Braemar is one of the world’s largest shipbrokers and a provider of expert advice in shipping investment, chartering, and risk management to the marine and energy industries with offices in the UK, Switzerland, Greece, Spain, USA, Australia, China, UAE, Singapore, India and Brazil. The Group comprises two operating divisions: Shipbroking, and Corporate Finance. These work together to offer a unique combination of skills for clients, at anytime, anywhere in the world. Shipbrokers act as intermediaries between two parties in the shipping industry.

We are now looking for a Junior Research Analyst to join our vibrant business, based in our Singapore office.

Key Responsibilities

Reporting to the Global Head of Research, you will work alongside colleagues in our Singapore and London offices and gain exposure to the global oil and tanker shipping markets.

• Conduct fundamental research on the global oil and shipping market
• Gather market intelligence and identify key drivers of the oil and shipping market
• Help maintain our vast proprietary database and demand/supply models
• Assist in the production of regular research reports of the company
• Service bespoke client research and data requests
• Support internal brokers for business development activities

Education, Experience and Skills

You will be focused with outstanding attention to detail. With critical thinking skill, you will recognize the value of precision and nuance as much as productivity.

• Strong presentation, communications and writing skills
• Strong data and statistical analysis skills
• Good understanding of Chemical products with strong interest in a commodity trading / shipping environment
• Proficiency in Microsoft Excel and PowerPoint
• Knowledge in SQL, PowerBI and PowerQuery are plus

Join Us

If you are looking to start your career with an expanding and ambitious organization, then this is the role for you.

Share with us your cover letter* and resume to apply for this role.

* Cover Letter may include your background, relevant experience and motivations.

^ Research article may be any non-proprietary research which is more than 70% attributable to you.

Roles & Responsibilities

1. Conduct fundamental research and financial statement analysis on SGX-listed companies
2. Conduct research across multi-asset classes, including Equities, Fixed-income, Commodities, Structured notes, ETF, Funds, and FX
3. Generate investment strategy for the US/Hong Kong/Singapore equity market and identify short-term trading ideas
4. Provide investment recommendations and sales ideas to Equity sales and Trading Representatives
5. Any other ad-hoc responsibilities assigned

Requirements:

1. Minimum 3 years relevant experience in Investment Advisory/Counsellor or Product Specialist or Equity Research Analyst
2. Financial modelling and report writing
3. Basic product knowledge and portfolio management
4. Strong communication and interpersonal skills
5. CFA qualification or equivalent will be an advantage

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.

About the opportunity:

· Lead architecture engineering and design for pharmaceutical facilities in Singapore, involving room programing, finishes selection, defining the personnel, material, equipment, sample flows within GMP facility

· The works involved masterplan, layout development for various different building, ranging from administration, warehouse, utility building, laboratory, manufacturing, and other ancillary building

· Familiar with Singapore regulatory requirements, calculations such as buildability score, greenmark score and able to implement them into the design.

· Interface with various disciplines for coordination and design integration with multiple disciplines and subject matter expert both in Singapore and outside Singapore

· Occasional site visit/deployment during construction period

· Adhere to company work instruction, standard operating procedure, quality procedure

· Deliver the design and develop the subcontract packages on time, generate deliverable list with timeline as per development from project master schedule.

· Guide the architecture team for the related project to deliver, monitor the progress, attend meeting, design review with client.

· Liase with Architecture QP for permitting and Design for Safety review

About you:

· Degree in Architecture Discipline with minimum 8 years of experience in architectural consultancy organization, preferably with specialization in pharmaceutical/process/industrial facility projects.

· Well versed in Singapore regulatory and Singapore Standard

· Team player, interface with various team members from different disciplines

· Knowledge in Autodesk Revit, Autodesk AutoCAD, Sketchup.

· Additional software skill in Adobe Photoshop, Naviswork will be beneficial

Dulwich College (Singapore) is recruiting a Science Technician to start in April 2024, to support the Science Department in the management and preparation of resources to enable the effective delivery of science curriculum at the College, as well as the maintenance of equipment.

Duties & Responsibilities:

• Prepare resources, make up solutions, assemble apparatus, and deliver equipment to labs as required;
• Play an active role in developing and trialing new practical activities;
• Assist and demonstrate in practical classes as required;
• Provide technical advice and assistance to teachers, technicians and students;
• Assist and demonstrate in practical classes as required;
• Supervise students carrying out investigations and experiments;
• Keep laboratories tidy and ordered;
• Oversee the clearing away, storage and maintenance of practical equipment after practical lessons;
• Working with other Technicians to ensure the safe storage, concentration of stock solutions suitable for students, labels, warning signs and disposal of chemical and biological waste according to local regulations and guidelines;
• Support the College cleaning staff in ensuring the safe cleaning of science laboratories and preparation areas;
• Keep up-to-date with health and safety regulations;
• Carry out risk assessments of own activities and practicals as requested by teachers, seking advice when neccessary;
• Provide advice on safe practice and monitoring activities to ensure there are followed;
• Assist in the management, use, and provision of resources, including books and teaching materials;
• Maintain class sets of laboratory resources (including stationery);
• Service and clean equipment and resources as required;
• Carry out stocktaking of equipment, chemicals and stationery, in order to maintain appropriate stock of apparatus and consumables;
• Fix broken Science equipment. If not possible, organize for it to be fixed or replaced;
• Monitoring access to science laboratories and prepare areas;
• Attend additional training as required;
• All other duties commensurate with the post.

The successful candidate will possess:

• A minimum 'N' Levels, including Science subjects, or equivalent;
• Experience of working in laboratory setting or similar would be an advantage but not neccessary;
• The ability to follow procedures and guidelines;
• Fluency in English and the ability to communicate effectively with students and colleagues;
• A flexible approach to work, and the willingness to contribute to the wider team;
• The ability to use own initiative to undertake required tasks.

We welcome and encourage applications from people of all backgrounds. Having a diverse staff body is a great strength to us as a College and one of the ways that we can help students achieve our College Mission of Living Worldwise. We do not discriminate on the basis of race, ethnicity, gender, age, disability, religion, sexual orientation, pregnancy or socio-economic status. We support family-friendly flexible working opportunities, where operational needs allow. Staff recruited locally are subject to Terms and Conditions of Service according to local employment law.

Dulwich College (Singapore) 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 which are aligned to the recommendations of the International Task Force on Child Protection. We hold ourselves to a high standard of effective recruiting practices with specific attention to child protection. All appointments are subject to an interview, identity checks, criminal record checks, and successful references.

CPE Registration Number: 201027137D. Period of Registration: 09 January 2024 to 08 January 2028

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 Mechanobiology Institute (MBI), National University of Singapore is a Research Centre of Excellence dedicated to interrogating biological systems from a physical and mechanical perspective. We are a multidisciplinary institute committed to developing new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes.

We are currently seeking a highly motivated postdoctoral fellow to join Dr. Yan Jie’s and Dr. Alexander Ludwig’s group to work on mechanotransduction mechanisms in polarized epithelial cells. This is a highly collaborative project involving three PIs at MBI as well as the group of Alexander Ludwig at the School of Biological Sciences (SBS), NTU Singapore. The aim of this project is to understand the molecular and cellular mechanisms that sense and transmit mechanical forces from the apical surface of epithelial cells to the Hippo/YAP signalling pathway. A combination of in vitro force measurements, biochemical approaches, cell-based assays and live cell fluorescence imaging of mechanically perturbed cell monolayers will be used to tackle this question. The project and the position will begin in April 2024.

The selected candidate will have the opportunity to work in a world-class research institute with access to a highly interdisciplinary team of biologists, physicists and engineers in Singapore.

Key Responsibilities

The selected candidate will:

• design, conduct, and analyse experiments at a high scientific standard
• present their data in regular joint group meetings of the participating PIs and their groups
• present their data at local and international meetings and conferences
• supervise and guide PhD students on their projects

Requirements

• PhD in Biology, Physics, Chemistry or related fields, with a proven track record in publishing
• A strong background in cell biology and molecular biology
• Experience in fluorescence microscopy, biochemistry and/or biophysics would be advantageous
• Excellent verbal and written communication skills and ability to work well in an interdisciplinary and international team
• Highly motivated and independent
• Excellent problem-solving skills and management skills