The candidate will be working on projects related to vessel electrification and underwater robot.

Job description

1. Implement state-of-the-art techniques and tools such as data-driven modelling, AI, deep learning, machine learning etc, to solve challenging problems.

2. Perform dynamic modelling of physical systems, control design and the coupling of numerical and physical systems applied to electric vessels, underwater Robotics and/or other systems operating in the ocean environment.

3. Develop hardware and software control architectures, sensing systems to support R&D in the areas of offshore hydrodynamics and fluid-structure interactions. This includes developing, testing, troubleshooting software and verification procedures.

4. Develop engineering requirements, specification and validation criteria for high-quality research using combinations of physical experiments, sensing, numerical simulations as well as data analytics to develop integrated physical-numerical modelling, simulations and applications.

5. Survey literature and implement state-of-the-art techniques and tools (such as AI, deep learning, machine learning, etc) to solve challenging problems.

6. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

7. Any other duties as assigned by supervisor.

Job Requirements

Qualification & Field of Study:

The candidate should have a background in engineering / computing or related fields.

Other Requirements:

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with a high degree of professional integrity.

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

Head, Data Engineering and ArtificiaI Intelligence (AI) at the National University of Singapore (NUS) Yong Loo Lin School of Medicine (NUSmed) is entrusted with a multifaceted role that involves shaping a long-term vision for harnessing the power of data across the 10 Translational Research Programs (TRPs) under the guidance of the Vice-Dean (Research). These programs encompass critical initiatives such as Assoc. Prof Jason Lee's Heat Resilience and Performance Centre, Prof Michael Chee's Centre for Sleep and Cognition, as well as numerous associated clinical trials.

A core aspect of this role revolves around the strategic architecture and leadership required to establish a robust Common Data Infrastructure for research cohorts. This infrastructure aims to achieve significant cost savings by streamlining data management processes, enforcing rigorous data governance and privacy compliance, and optimizing research efficiency throughout NUSmed. Moreover, this role is at the forefront of championing the adoption of cutting-edge AI and Machine Learning (ML) capabilities in the realms of healthcare and biomedical research. Notably, it places a strong emphasis on the application of core frontier technologies like Explainable AI (XAI) and Privacy Preserving Technology (PPTech) to drive rapid adoption in clinical settings, with the ultimate goal of enhancing the healthcare sector and extending its positive impact beyond. Furthermore, the Head actively fosters collaborative relationships with industry leaders, research institutions, healthcare clusters, and government bodies. These collaborations are instrumental in advancing interdisciplinary research, particularly in areas such as digital health and AI, where innovation and transformative breakthroughs are imperative. The Head is dedicated to the establishment of transformative training programs on incorporating computational methods to the medical fraternity. These programs are designed to equip researchers, medical students, and professionals with essential computational skills, empowering them to make ground-breaking discoveries and harness the full potential of machine learning for tangible, real-world impact.

Responsibilities include:
• Architect and lead the building of Common Data Infrastructure across research cohorts in NUSMed for computational efficiency, cost savings, data governance and setting the foundation for future exploitation (i.e. AI/ML capabilities)
• Establish cutting edge MLOps and LLMOps process flows to enable AI and ML to be applied at scale
• Lead programs to leverage on frontier technology to overcome obstacles in adoption of AI and ML in healthcare such as Explainable AI (XAI) and Privacy Preserving Technologies (PPTech)
• Lead and nurture engagement with important stakeholders in industry, research institutions, healthcare clusters and government
• Establish programs to advance interdisciplinary work between computational engineers with clinicians, as well as training programs on computational methods

Qualifications

• Bachelors or Masters in a quantitative discipline such as Computer Science, Engineering or Applied Mathematics
• Certifications in cloud technology (e.g. AWS) and scrum methodology (e.g. CSM)
• Demonstrated leadership with a strategic vision for advancing data-driven initiatives and AI adoption in healthcare
• Expertise in data engineering, AI, ML and healthcare systems
• Proven track record of delivering large scale data platforms
• Experience leading and growing highly technical teams
• Proactive with strong problem-solving, negotiation and communication skills interface with multiple stakeholders
• Ability to foster collaboration between technical teams and healthcare professionals for impactful projects
• Strong focus on achieving measurable impact through strategic data and AI/ML application in healthcare

JOB DESCRIPTION

We are looking for highly-motivated and skilled data engineer to work on a new initiative on developing advanced AI software platform for Cardiac CT diagnosis.

Successful candidate will work with a team of data scientists and data engineers to develop AI platform for hospitals and clinical trials. Successful candidate will have the opportunity to tap into a large pool of industrial data from different disciplines and to interact with the companies to understand their real data needs.

JOB REQUIREMENT

• Bachelor degree in the field of software engineering, computer science, computer engineering, mathematics and statistics, electrical engineering, or related field.
• Possess minimum 5 years of relevant work experience
• Ability to work independently to translate research ideas into programs with efficient coding
• Basic knowledge on data analytics, machine learning, data mining
• Proficient in Python, Java Script
• Prior industry experience with engineering, financial services, healthcare, or urban development is a plus
• Able to deliver under tight schedule
• Good team player with both research and engineering ethics
• Good interpersonal 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.

About Us:

EDDC is a dynamic and rapidly growing organisation committed to excellence and innovation. We are seeking an experienced Executive Manager to provide high-level support to our Senior Management/Leadership Team (C-Suite executives) at EDDC, ensuring their schedules are efficiently managed, administrative briefs are meticulously prepared, and contracts (NDA and CDA) for scientific procurement and project needs are expertly managed.

Job Description:

The successful candidate will be supporting the C-Suite executives at EDDC, you will work closely with executives, deliver efficient secretarial and administrative support in a well-organised manner to ensure daily administrative tasks run smoothly. You will also be responsible for contract management, particularly Non-Disclosure Agreements (NDAs) and Confidentiality Disclosure Agreements (CDAs) related to scientific procurement and projects.

Key Responsibilities:

1. Schedule Management : Effectively manage and optimise the calendars of C-Suite executives, coordinating internal and external meetings, appointments, and travel arrangements.

2. Administrative Briefs : Prepare comprehensive and confidential administrative briefs, reports, and documentation for the C-Suite, ensuring accuracy and timely delivery.

3. Contract Management : Oversee the creation, execution, and management of NDAs and CDAs for scientific procurement and project requirements, ensuring compliance with legal and organizational standards.

4. Communication Liaison : Act as a central point of contact between C-Suite executives and various internal and external stakeholders, ensuring seamless communication and responsiveness.

5. Develop meeting agendas : Organise, facilitate, and follow up on executive meetings, including preparing agendas, minutes, and action items.

6. Strategic Support : Assist in strategic projects, including research, data analysis, and providing insights to support decision-making.

7. Confidentiality : Maintain the highest level of confidentiality and discretion in handling sensitive information.

8. Team Collaboration : Collaborate with administrative teams to streamline processes and support cross-functional initiatives.

Requirements :

• Diploma/Bachelor Degree in Business Administration, Management, or a related field.
• Proven experience in executive support, scheduling for senior executives, and contract management
• Exceptional organisational and time management skills
• Excellent written and verbal communication skills
• Proficiency in office software and scheduling tools (e.g. Microsoft Office)
• Strong problem-solving and decision making abilities
• Ability to work under pressure and adapt to changing priorities
• Prior experience in a similar role supporting C-Suite executives
• Project Management experience
• Familiarity with contract management software and legal documentation

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

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with the public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This includes tackling complex and unmet medical challenges in disease areas such as oncology, fibrosis, infectious and autoimmune diseases. EDDC is now seeking under the IFP programme a highly motivated Research Fellow with expertise in automation in drug discovery and knowledge and skill in developing biochemical and cell-based assays suitable for miniaturisation.

This is an eighteen month on-the-job training programme that requires participation in and supporting cross-functional and collaborative drug discovery projects. By joining EDDC, the IFP candidate will be part of a dynamic, interdisciplinary team working to evaluate, develop and implement methods and workflows from assay design and development to assay execution and data analysis of very large datasets.

Responsibilities:

• Evaluate and propose assays for high throughput screening of novel targets.
• Plan, optimise and execute high throughput screening assays for novel targets.
• Analyse and report high throughput screening data, including written reports and oral presentations to stakeholders, also participating in stakeholder management.
• Work with internal and external teams to provide strategies for applying state-of-the-art automation and miniaturisation techniques to achieve drug screening goals.
• Investigate novel technologies and approaches to improve current high throughput screening processes.
• Perform target assessment, validation and formulate research proposals for novel drug targets.
• Perform evaluation of internal and external collaborative projects.
• Guide the development of assays or technologies with Research Associates within the group to support the advancement of pipeline projects.

Job Requirements:

• PhD or equivalent degree in biological sciences, chemistry or related field
• Academic or industrial experience in high throughput screening assay design, development and execution.
• Experience with biochemical, cell-based and biophysical drug screening assays.
• Strong organisational and communication skills, demonstrated ability in establishing and managing research partnerships.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment
• Willingness to learn new techniques and adapt to changing priorities
• Experience in lab automation and liquid handling platforms preferred.
• Management of compound inventories and use of databases.

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

JOB DESCRIPTION

We are looking for highly-motivated and skilled data engineer to work on a new initiative on developing advanced AI software platform for Cardiac CT diagnosis.

Successful candidate will work with a team of data scientists and data engineers to develop AI platform for hospitals and clinical trials. Successful candidate will have the opportunity to tap into a large pool of industrial data from different disciplines and to interact with the companies to understand their real data needs.

JOB REQUIREMENT

• Bachelor degree in the field of software engineering, computer science, computer engineering, mathematics and statistics, electrical engineering, or related field.
• Possess minimum 1 year of relevant work experience
• Ability to work independently to translate research ideas into programs with efficient coding
• Basic knowledge on data analytics, machine learning, data mining
• Proficient in Python, Java Script
• Prior industry experience with engineering, financial services, healthcare, or urban development is a plus
• Able to deliver under tight schedule
• Good team player with both research and engineering ethics
• Good interpersonal 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.

Job Description

The Genome and Data Analytics Core (GeDaC) at the Cancer Science Institute of Singapore (CSI) is actively seeking talented individuals for positions in Genomic Data Science and Bioinformatics. This is an exciting opportunity to join a dynamic team focused on leveraging cutting-edge technology to advance cancer genomics research and precision oncology.

Responsibilities

1. Collaborate with software engineering experts to build and optimize components of the cloud-based (AWS) platform for automated processing and analysis of large cancer genomics datasets.
2. Provide on-demand bioinformatics support for CSI/NUS investigators.
3. Participate in diverse and innovative projects, applying biological and technical expertise.
4. Contribute to state-of-the-art machine learning/artificial intelligence (ML/AI) and big data initiatives, such as developing APIs for scalable cancer genome analytics.
5. Collaborate with local and multinational industrial stakeholders to expand skills and networks.

Qualifications

• Masters or PhD in bioinformatics, computational biology, genomics, or a related field.
• Demonstrated experience in genomic data analysis, preferably in a research or industry setting.
• Track record of publications and/or projects in the field of cancer genomics or related areas.
• Ability to work effectively both independently and as part of a multidisciplinary team.

More Information

CSI GeDac Core Facility: https://csi.nus.edu.sg/our-research/core-facilities/genomics-and-data-analytics-core-gedac/

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. At least 2 referees including their name, contact information (email) and relationship to applicant

KEY ROLES AND RESPONSIBILITIES:

The candidate will be responsible for designing and implementing instrumentation and data acquisition solutions and systems to be deployed on site, ensuring that the solutions are reliable and scalable. The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans. The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

QUALIFICATIONS & EXPERIENCE

· Bachelor degree / Diploma in Engineering, Computer Science or any other related field

· Hands-on implementation experience in instrumentation and data acquisition

· Experience in the domain area / technology / programming languages and Communication/Data protocols

· Experience in code management and deployment

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

A Research Assistant/Associate position is immediately available for a highly motivated applicant to join the laboratory of Dr. Roshni R. Singaraja at the Cardiovascular Research Institute, National University of Singapore.

The successful applicant will have a passion for science, have a creative and inquisitive mind, display outstanding attention to detail, and work in an innovative, fast-paced, enthusiastic and highly collaborative environment to determine the basis of cardiometabolic disease. The successful candidate will participate actively in the design and execution of various projects, as well as assist lab members in their research projects, and provide infrastructure support such as procurement and inventory control for the laboratory.

The successful applicant is expected to have a strong background in mouse phenotyping, protein biochemistry, molecular biology, and cell culture.

Responsibilities

• Performing research, analyzing and presenting data
• Working with mouse models and mouse phenotyping. Experience with Cardiovascular and diabetes models is an asset.
• Protein biochemistry (Co-immunoprecipitation, affinity purification)
• Tissue culture, imaging and immunofluorescence
• Gene expression analysis (RNA isolation, quantitative RT-PCR, Western blotting)
• Lab management and procurement

Qualifications

• Bachelor’s or Master’s Degree in Life Sciences with more than 2 years of work experience
• Excellent analytical, technical and problem solving skills
• Creative, driven, don’t take no for an answer attitude
• Highly collaborative, and motivated to support the research team
• Excellent verbal and written communication skills in English
• Strong organizational skills and outstanding attention to detail
• Experienced in molecular biology, protein biochemistry and tissue culture techniques

The position is full-time for a period of 1 year, with the possibility of contract renewal.

To apply, please send cv and list of 3 references to [email protected]

The School of Civil and Environmental Engineering (CEE) invites applications for the position of Research Fellow / Senior Research Fellow. 

Key Responsibilities: 

•  Supervise and coordinate the research content and progress of the project, ensuring efficient management.

Job Requirements: 

•  PhD degree in in Civil Engineering, Environmental Engineering, or a closely-related discipline.

• Background as a Project Principal Investigator (PI), providing the capability to effectively lead the project team.

• Strong teaching ability and excellent communication skills.

• Possess strong interdisciplinary expertise in the domains of Coastal Science/Engineering, Environmental Fluid Mechanics, or Hydraulic Engineering.

• Previous strong academic credentials post PhD in these areas will be highly preferred.

• In addition, candidates with experience in the industry as well as qualifications to become a professional engineer in Singapore will have an advantage.

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

The Collective Cell Dynamics in Mammalian Development and Reproduction lab at the Mechanobiology Institute, NUS seeks a highly motivated, self-initiated individual to join as a postdoctoral research fellow. The lab is interested in how collective cell behavior emerges and links with biological functions in development and reproduction. It focuses on cellular mechano-chemical coupling regulations in mammalian tissues and explore design principles of multicellular dynamical systems.

The origin and roles of sperm cell dynamics in the reproductive tracts remain less understood despite their physiological importance. To better understand, the lab has been used intravital microscopy to study murine reproductive tracts, enabling us to observe the cellular and molecular activities in living mouse tissues. In this particular project, we will explore the fundamental mechanisms of how collective sperm dynamics emerge and link with reproductive functions, diseases, and aging by combining intravital imaging using a multiphoton microscope, genetic mouse models, and microfluidic devices.

We are looking for a candidate who is interested in applying interdisciplinary approaches to study the dynamic interplay between sperm and somatic cells in male reproductive tracts to join the lab. Applicants should possess strong leadership qualities, a passion for conducting research, and a creative approach to problem-solving. They should also be able to work both independently and as part of a diverse team.

Qualifications

• A PhD in life sciences or related fields
• Fundamental knowledge and skills in molecular biology, cell and tissue culture, and microscopy
• Experience with mouse experiments, tissue histology, omics analysis, and/or bioinformatics analysis can be beneficial, though not a requirement
• Excellent communication skills and a team player

Salary and benefits are commensurable to educational qualifications and working experience of the candidates.

To apply

Interested applicants are requested to compile the following into a single PDF file: (1) a cover letter stating why they are interested in the position (2) a full CV with a list of publications (3) the names and contacts of two academic references (no letters of recommendation need to be submitted at this point in time), to be uploaded as their CV.

General inquiries or questions about this position should be submitted via email to: [email protected] with the subject label “Postdoc CCD-MBI-NUS-2024a”.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Research Support Leader in Research Support Unit

Executive Assistant to CEO and Administration Head:

· Manage staff who coordinate and liaise with internal and external parties for all meetings and conferences arranged.

· Assist the facilitation of collaboration with Chugai/Roche/Genentech and/or external research institutions, including internal research activity

Committee Activity Management:

· Manage staff who provide secretarial and administrative support to the various research committees, ensuring compliances with Chugai group policy and local regulations.

· Update the process and system to make review and approval process sustainable.

Operational management:

· Manage staff who coordinate with internal and external parties on shipping related matters.

· Maintain the policies, guidelines, and SOPs related to research support activities.

Facility Management:

· Manage staff who establish short term (1 – 3 years) and long term (5 years and above) facility management plan to be in line with company’s business continuity plan.

· Arrange the relocation of lab and equipment in line with research activities.

Requirements:

· General degree with minimum 10 year of operational experience in the life sciences industry.

· Good knowledge of local research practices and research and development regulations.

· Strong organization skills and good verbal and written communication skills.

· Proficiency in Japanese Language is a must to liaise with Japanese speaking colleagues and clients.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at:
http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

• Salary: Up to $3000 + Completion Bonus
• Contract Duration: 12 Months with Flexi Benefits ($1500)
• Location: West, conveniently located near MRT Station
• Working Hours: Monday to Friday, 8.30am to 5pm

Responsibilities:

• Support daily laboratory operations with enthusiasm and dedication.
• Ensure seamless operations of sensory and skin care labs, including EEG work.
• Assist in sample preparation of test materials to maintain high-quality standards.
• Keep meticulous records of descriptive references for sensory test samples.
• Apply basic statistics for data analysis and contribute to insightful reporting.
• Tackle routine problems related to research projects with a proactive mindset.
• Utilize scientific research and critical thinking skills to conduct, record, and analyze experiments and fieldwork outcomes.
• Formulate cutting-edge skin care prototypes using company ingredients in our state-of-the-art personal care lab to support R&D efforts.
• Conduct thorough literature reviews and database searches to stay at the forefront of cosmetic science.

• Diploma in Perfumery and Cosmetic Science or Food Technology.
• Proven experience in customer-facing roles, showcasing excellent stakeholder management skills.
• Demonstrated expertise in data analysis and preparation of statistical reports.

Join us in revolutionizing the cosmetic science landscape! If you're ready to bring your passion and expertise to the forefront, apply now to be a key player in the innovative team.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

Teaching with Boutique Education:

We are only able to consider candidates who are Singaporeans / PR at this time. **

Candidates should be well versed in sciences (Physics / Chemistry / Biology) up till A levels / IB level.

Boutique Education is a preferred education provider for families of children of all ages in international schools in Singapore. Our mission - instilling a love for learning.

https://www.youtube.com/watch?v=vtT6dTTIFkg&featur...

We specialise in:

• Personalised 1 to 1 tuition
• Homeschooling
• Small group classes
• Special education
• Holiday camps

Roles and Responsibilities:

• Design and implement tailor-made programmes for students.
• Ensure that students’ objectives are achieved.
• Deliver tuition in a fun and creative manner.
• Cater to students’ specific educational needs.
• Complete required monthly reporting.
• Live and breathe the Boutique Education way in all your teaching.
  
  
  Is this You?:
  • Dedicated
  • Engaging
  • Personable
  • Warm
  • Professional
  • Energetic
  • Adaptable
  • Flexible
    
    Skills and other requirements:
    • Native English speaker
    • 1 to 2 years’ experience in teaching or tutoring
    • Undergraduate or post-graduate degree from a reputable university
    • Comfortable communicating with students, parents, team members and management alike
    • Willing to teach at students’ homes and travel via taxis between classes
    • Keen to embrace our company culture and ethos to education and to participate in activities such as holiday camps as and when they come up
    • Slightly tech savvy would be a plus to work with our apps and other systems

What’s in it for you?

• Attractive remuneration package (From 35/hr)
• Personal training and development opportunities
• Friendly working environment
• Opportunity to shape the future of Boutique Education together with management

Purpose: This position seeks to recruit an experienced research engineer to assist in developing new sustainable methodologies for chemical breakdown of waste plastics.

Job Responsibilities:

• The researcher will be involved in and contribute actively to waste plastics upcycling research, including but not limited to the following:
• Assist in synthesis and characterisation of homogeneous and heterogeneous catalysts and assist in reaction screening
• Be in charge of essential research equipment and maintennance
• Assist in training and mentoring staff, interns and students as and when required
• Curating and managing experimental data, and assist in preparation of reports, presentations, technological disclosures and manuscripts

Job Requirements:

• MSc in Chemistry or equivalent
• Familiar with chemical synthesis and routine/ essential characterization techniques
• Strong communication and interpersonal skills and ability to work cohesively in a team whilst sharing resources
• Strong interest to learn about new technologies
• Excellent organizational skills including attention to details
• Willingness to learn, with adaptability and flexibility to take on required/necessary tasks beyond the job description

Job description

The Research Officer in Bioinformatics will be instrumental in propelling our research projects forward through expert analysis of single-cell and spatial omics data, along with image analysis and the integration of diverse multi-omics datasets. This role offers a unique opportunity to work collaboratively with a multidisciplinary team of leading immunologists, oncologists, pathologists, and AI scientists. The candidate will contribute to pioneering research involving a broad spectrum of data types, from mouse and human to cancer and various disease datasets, leveraging their bioinformatics expertise to drive innovations in disease understanding and treatment strategies.

Key Responsibilities:

1. Lead the analysis of single-cell and spatial omics datasets to uncover cellular heterogeneity, spatial organization, and gene expression patterns in diverse biological contexts.
2. Conduct advanced image analysis to extract quantitative data from biological imagery, employing cutting-edge computational techniques.
3. Develop and implement integrative multi-omics analysis pipelines to synthesize information across various data types (genomic, transcriptomic, proteomic, etc.), facilitating a holistic understanding of biological systems and disease mechanisms.
4. Collaborate with interdisciplinary teams, including biologists, clinicians, and computational scientists, to design experiments and interpret findings within the context of complex disease states.
5. Contribute to data management and curation efforts, ensuring the integrity and accessibility of datasets.
6. Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
7. Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Qualifications:

• Bachelor Degree in bioinformatics, Computational Biology, Systems Biology, or a related field.
• At least 1 year of relevant professional experience in omics data analysis.
• Proficiency in programming languages such as R and Python, and in the use of bioinformatics tools and databases.
• Demonstrated expertise in statistical data analysis and machine learning applications.
• Established publication record in peer-reviewed journals within the bioinformatics or related fields.
• Exceptional problem-solving abilities, capable of both autonomous work and team collaboration.
• Excellent verbal and written communication skills
• Experience with server-based and high-performance computing.
• Proficiency in data visualization tools and software.
• Understanding of molecular biology, genetics, and cellular biology principles.
• Proficiency in managing and analyzing large datasets from various omics platforms.

Please send your CV to [email protected]

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

Overview

The Centre for Research in Child Development (CRCD) was established in 2017 with funding from the Singapore Ministry of Education (MOE). Hosted at the National Institute of Education (NIE), the CRCD conducts studies focusing on factors that influence the course of development from infancy through middle childhood. The Centre is interested in candidates with expertise in one or more of the following areas:

• Testing, measurement, psychometrics

• With applications in quantitative psychology and early childhood

Candidates with appropriate qualifications and relevant research experience are encouraged to apply. We invite applications for the position of Education Research Scientist/Senior Education Research Scientist to join the CRCD. 

Requirements

• PhD in a relevant discipline

• Minimum 2 years of post-PhD experience

• Ability to lead a research team

• Track record in the following areas:

• High-quality publications (please provide samples and information on the quality and impact of your work based on citations and ranking of journal publications)

• Planning and writing research project proposals that are funded through competitive peer-reviewed funding processes

• Independence in research (i.e. sole authorship/senior authorship of high-quality publications and invited presentations at conferences)

• Excellent interpersonal and communication skills (spoken and written English)

• Ability to work with colleagues within a team

Responsibilities

• Collaborate with colleagues to design and implement the centre’s research programme
  Take a leading role in the development of research projects and programmes and in seeking and pursuing appropriate external funding

• Disseminate the outcomes of research in peer-reviewed publications of international standing

• Support CRCD in its efforts to impact practice and policy through research projects and programmes

• Manage and conduct administrative and management tasks associated with research or programme

• Participate in research of strategic importance to CRCD and NIE
  Participate in the wider research and service activities of CRCD and NIE 

Application

Interested applicants should complete and submit the following documents: 

• Cover letter addressing how you meet each of the requirements of this position

• Resume including a list of your qualifications, publications, grants and leadership experience, previous experience and a brief description of your achievements

• Research statement indicating your research expertise, interests, and future directions

• 1 to 3 of your best publications

• Name of at least 3 referees

• Any other documents that demonstrate your qualifications

Closing Date

• Review of applicants will continue until the position is filled.

Other Information

• Queries regarding the position should be directed to lenny@nie.edu.sg.

Note to applicants:

We regret that only shortlisted candidates will be notified via email.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow. 

The Research Fellow will conduct both experimental and numerical research to develop more efficient lithium-ion batteries (LIBs) with enhanced thermoresponse capability

Key Responsibilities: 

• Development of new LIB fabrication, electrochemical characterization and thermal characterization facilities

• Development of new composite phase change materials (PCM) with enhanced thermoregulation capabilities for LIB and associated fabrication facilities

• Carry out LIB and composite PCM fabrication and perform electrochemical and thermal characterization of new libs

• Develop numerical models and/or analytical formulations to predict electro-thermo process in conventional and new libs

• Work closely with other graduate students and researchers on experimental and numerical investigations

• Assisting the preparation of the necessary research reports and technical papers

• Work closely with researchers, graduate and undergraduate students performing research such as URECA or final year projects

• Assist the Principal Investigator (PI) and his co-investigators in the supervision of graduate and undergraduate students in the research team, and perform all related assignments and studies as directed by the PI from time to time

Job Requirements: 

• PhD degree in Mechanical Engineering, Material Science and Engineering, or related field

• Experience and expertise in composite phase change materials, lithium-ion battery fabrication and characterization, design and experimentation of lithium-ion battery thermal management.

• Experience in carrying out lithium-ion battery (LIB) fabrication and LIB electrochemical and thermal characterization

• Experience in developing LIB fabrication and electrochemical characterization facilities

• Experience in heat transfer experiments and measurements related to composite phase change materials

• Relevant knowledge in material development related to LIB components including separators, electrodes and electrolytes

• Expertise in numerical simulation and analytical formulations of electro-thermo processes in LIBs

• Proficiency in written and spoken English

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.

The Role

The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators;

Requirements

• A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in federated learning, Bayesian optimization, or privacy/security research in data sharing would be a plus;
• Experienced in using the latest machine learning, AI, and big data platforms;
• Excellent interpersonal communication and oral presentation skills in English

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 industry innovation research project Protein for Singapore (P4SG) where you will be part of the research team to optimise a food extrusion process for high-quality protein-based edible inks and establish the extrusion-based structuration of algae/soybean/mung bean proteins for use in a 3D printing platform prototype.

Key Responsibilities

• Participate in and manage the research project with Principal Investigators (PI), and the research team members to ensure all project deliverables including periodic progress reports are met.
• Undertake these responsibilities in the project:
i. Development and characterization and understanding of extruded protein-based edible foods
ii. Development and characterization and understanding of protein-based edible inks
• Design, execute, and interpret experiments independently.
• Author papers in high-quality journals and contribute to grant writing in areas that are related to the research.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment

Job Requirements

• Have relevant competence in the areas of processing technology, analytical instrumentation, material formulation, and sensory evaluation.
• Have a PhD or other advanced degree in Food technology and engineering or related fields.
• Knowledge of extrusion technology, additive manufacturing, and rheology will be advantageous

NTU Singapore is a research-intensive public University founded on science and technology, nurturing leaders and creating societal impact through interdisciplinary education and research. Over the years, NTU has achieved worldwide acclaim for its research output, innovation, and teaching excellence. As a key office anchored in the vibrant research culture and environment within NTU, we are seeking a Senior Executive Officer in Research Grant Administration to bolster the collective effort to consolidate and further advance NTU’s research standing and capabilities. He/she will support NTU faculty so that they can conduct their research effectively with compliance to regulations governing research fund management.

You will support in the administration of research grants and other research-related matters handled by the NTU Research Support Office. This includes coordination of grant calls with the Colleges and Schools in the University, assisting researchers and faculty in their grant submission and grant post award activities like reporting submissions, assisting researchers to understand grant agencies’ guidelines and coordination of review panel meetings.

Key Responsibilities:

• Administrative support for various NRF grants

• Support in NRF grant calls including drafting of grant call announcement faculty, advising PIs and school administrators on funding guidelines, work processes and grant call opportunities

• Provide guidance to faculty and school administrators to better understand the grant requirements through checklists or guide or standardized forms

• Facilitate on the budget scrubbing process prior to the award of the project

• Coordinate internal review panel meeting to shortlist proposals, when required

• Assist awarded PIs with their letters of acceptence and facilitating research account opening

• Support the team to manage post award requests from faculty for their research grants (i.e. variation requests, report submissions), in accordance to the T&Cs of the research grants awarded)

• Provide support and guidance for RISE (Research Information System)

• Support in preparation of reports and statistical data

• Involve in any ad-hoc initiatives undertaken by the Office

Requirements:

• A Bachelor/Honours degree from recognised university with at least 1 to 2 years’ relevant work experience

• Preference will be given to candidates who have held administrative positions in a central office within a large organization and has a flair for communicating complex concepts via infographics or other visual means.

• Has high competency in Microsoft applications (Word, Excel, Powerpoint and others)

• Possess excellent writing, communication and interpersonal skills

• Excellent organizational, time management and planning skills

• Highly motivated individual with strong analytic skills, a keen eye for details, can multi-task and work independently and is a fast learner. 

Overview

The Science of Learning in Education Centre (SoLEC) is a young research center with a vision is to become an international leader in Science of Learning in Education research. Hosted at the Office of Education Research (OER) in the National Institute of Education (NIE), the SoLEC conducts research that integrates insights from multiple fields, including neurosciences, cognitive science, psychology, sociology, education and other areas. The Centre is interested in candidates with expertise in one or more of the following areas:

• cognitive neuroscience

• educational neuroscience

Candidates with appropriate qualifications and relevant research experience are encouraged to apply. We invite applications for the position of Education Research Scientist to join the SoLEC. 

Requirements

• PhD in a relevant discipline

• Minimum 2 years of post-PhD experience

• Ability to lead a research team

• Track record in the following areas:

  • High quality publications (please provide samples and information on the quality and impact of your work based on citations and ranking of journal publications)

  • Planning and writing research project proposals that are funded through competitive peer-reviewed funding processes

  • Independence in research (i.e. sole authorship/senior authorship of high-quality publications and invited presentations at conferences)

• Excellent interpersonal and communication skills (spoken and written English)

• Ability to work with colleagues within a team

Responsibilities

• Collaborate with colleagues to design and implement the centre’s research programme

• Take a leading role in the development of research projects and programmes and in seeking and pursuing appropriate external funding

• Disseminate the outcomes of research in peer-reviewed publications of international standing

• Support SoLEC in its efforts to impact practice and policy through research projects and programmes

• Manage and conduct administrative and management tasks associated with research or programme

• Participate in research of strategic importance to SoLEC, OER and NIE
  Participate in the wider research and service activities of SoLEC, OER and NIE 

Application

Interested applicants should complete and submit the following documents: 
•    Cover letter addressing how you meet each of the requirements of this position

•    Resume including a list of your qualifications, publications, grants and leadership experience, previous experience and a brief description of your achievements

•    Research statement indicating your research expertise, interests, and future directions

•    1 to 3 of your best publications

•    Name of at least 3 referees
•    Any other documents that demonstrate your qualifications

Closing Date

Review of applicants will continue until the position is filled.

Other Information

Queries regarding the position should be directed to oerjob@nie.edu.sg

Note to applicants:

We regret that only shortlisted candidates will be notified via email.

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.

Overview

We are looking for people with a strong background in Computation & data infrastructure and/or building data systems. They must be comfortable working with a range of stakeholders and functional teams including Students, Faculty, IT and External Collaborators. The right candidate will have a passion for working with numerous small research teams to assist in managing their Infrastructure needs and advise them on best practices to engineer their projects efficiently.

Responsibilities

INFRASTUCTURE MANAGEMENT (50%):
• Maintain servers, including file , web , proxy servers, including security patches.
• Allocation of compute / storage resources as needed.
• Analyse institute infrastructure needs to implement for services providing improvements to systems.
• Management of the Institute Website.
• Liaise with Global IT teams to ensure compliance to their policies and be a single point of contact for the institute for troubleshooting.
• Manage recording and streaming systems during regular seminars / Conferences and workshops.

DATA ENGINEERING (25%):
• Support research teams with advice on efficient Data Engineering practices including automation of data pipelines, data cleansing, integrity checks etc.
• Develop processes to handle remote data access / management in compliance with security best practices (and appropriate policies)
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

SYSTEM DEVELOPMENT (25%):
• Create APIs for integrate data source into functional blocks of software & services.
• Create APIs for downstream usage of Data models.
• Coordinate with different functional teams to implement models and monitor outcome
• Promote security best practices for application development

Requirements

• Bachelor degree in Computer Science, Operations Research, Engineering with more than 3 years relevant experience
• Experience in maintaining virtualised server infrastructure and creative problem solving within large IT infrastructure.
• Deep understanding of statistical analysis, data mining or machine learning
• Practical experience in working with large structured and unstructured data set
• Ability to think analytically and deliver results that drive business decision making
• Team player to build strong partnerships
• Have competency in one or more of the programming languages or tools: Python, R, Spark
• Experience in security engineering will be a plus
• Experience or knowledge in AWS/GCP environment will be a plus
• Prepared to take on new challenges and ad-hoc requests that need a quick turn-around
• Excellent written and verbal communication skills for coordinating across teams.

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

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

Job Description

The National University of Singapore invites applications for Research Assistant / Research Associate in the Sleep and Health Laboratory, Centre for Sleep and Cognition, Yong Loo Lin School of Medicine. Research at the Sleep and Health Laboratory focuses on the importance of sleep in cognitive, brain, mental, and physical health. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant / Research Associate will be responsible to, and work closely with, the Principal Investigator, collaborators, and study team members to ensure the successful completion of the various studies on time. The Research Assistant / Research Associate’s principal role will be to work in general practices such as IRB application, participant recruitment, data collection and analyses, as well as manuscript and report writing.

Main Duties and Responsibilities

The Research Assistant / Research Associate will need to:

1. oversee the general management of studies;
2. provide administrative and secretarial support to studies, such as organizing regular meetings to maintain regular communication with other research teams at the Centre for Sleep and Cognition;
3. undertake the day to day running of the various studies, e.g. recruitment, data collection in the laboratory and at participants’ homes;
4. process and analyse data;
5. assist in preparing both progress and final reports of the studies;
6. maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
7. assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. have a first degree with good results (Research Assistant position) or holds a Master’s degree (Research Associate position) in Psychology or related disciplines; preferably with some experience in research;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. be able to use SPSS / SAS / R / Matlab; good command of E-prime and Python would be an advantage; and
4. preferably have experience in EEG / polysomnography.

Applicants should submit a cover letter (1 page), a CV, and a research statement.

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

Only shortlisted candidates will be notified.

Successful candidates are expected to start as soon as possible.

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 Summary

Being a Donor Relations Manager, you will have to effectively build meaningful connections with Cancer Science Institute of Singapore (CSI) and the University's donors while implementing personalized donor engagement plans that strategically aligns with CSI's vision, mission and ongoing research initiatives. You will also need to demonstrate a genuine passion for philanthropic work and a strong belief in the mission and vision of higher-education institutions. You must be able to showcase a strong ability to build and maintain relationships with diverse individuals, including donors, colleagues, and stakeholders. This requires the possession of exceptional written and verbal communication skills to articulate the goals and impact of CSI effectively to potential donors.

Duties and Responsibilities

1. Program Development:Develop and implement effective donor engagement programs that align with organizational fundraising objectives.
   Create processes to systematically engage, cultivate, and recognize donor constituencies.
   
2. Donor Relations Initiatives:Oversee comprehensive donor relations initiatives, including communication strategies, recognition programs, and stewardship efforts.
   Ensure that donor engagement activities are in line with organizational stewardship objectives.
   
3. Collaboration and Communication:Serve as the communicative link between various departments and faculty members to optimize donor engagement efforts.
   Facilitate effective communication and collaboration to enhance the overall donor experience.
   
4. Reporting and Documentation:Compile reports from different faculties for donors, providing them with transparent and detailed insights into the impact of their contributions.
   Ensure accurate and timely documentation of donor-related information.
   
5. Editorial Excellence:Edit and proofread donor relations materials to ensure they meet the highest editorial standards.
   Craft compelling and accurate narratives that effectively communicate the impact of donors' contributions.
   
6. Donor Contact Point:Serve as a primary contact point for donors, addressing their inquiries, concerns, and providing timely updates on the impact of their support.
   
7. Proactive Relationship Building:Play a proactive role in seeking support from donors and building strong working relationships with various stakeholders within the University.
   Identify opportunities for collaboration and partnership that align with the University's and donors' interests.
   
8. Flexibility and Additional Duties:Undertake and perform additional duties as assigned, showcasing flexibility and adaptability to evolving needs within the donor relations role.
   
9. Stakeholder Engagement:Build and maintain strong working relationships with internal and external stakeholders to enhance donor engagement and support.
   
10. Data Management and Analysis:Utilize data analytics and management tools to assess the effectiveness of donor engagement initiatives and make informed recommendations for improvement.
    
11. Budget Management:Manage budgets associated with donor relations programs, ensuring efficient use of resources to maximize impact.
    
12. Adherence to Ethical Standards:Adhere to ethical standards and guidelines in all donor relations activities, ensuring transparency and integrity.
    

Qualifications

• Degree from a recognised University.
• Strong written and verbal communication skills
• Minimum 8 years’ experience in professions that demonstrate customer engagement skills
• Excellent team player and ability to manage multiple stakeholders with excellent interpersonal and problem-solving skills
• Experience in service industry is an added advantage
• Values philanthropy and a strong desire to contribute to community building

More Information

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. At least 2 referees including their name, contact information (email) and relationship to applicant

CSI Website: https://csi.nus.edu.sg/