Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

Key Responsibilities:

• Develop and evaluate advanced materials for energy applications, including fusion, fission, hydrogen technologies, or other extreme environment systems.
• Conduct research on materials for harsh and extreme environments to improve performance and reliability in energy systems.
• Assist project and group leaders in preparing research proposals and achieving OKR (Objectives and Key Results).
• Publish high-quality scientific papers and contribute to intellectual property development.
• Collaborate with interdisciplinary teams on energy-related projects.

Job Requirements:

• PhD in Metallurgy, Materials Engineering, Mechanical Engineering, or related fields
• Strong publication record and/or relevant industry experience.
• Proven expertise in materials development for energy-related research such as fusion, fission, hydrogen, or other advanced energy systems.
• Experience with materials characterization techniques and performance evaluation in extreme environments.
• Solid understanding of metallurgy, material degradation mechanisms, and structural integrity analysis.
• Ability to work independently with a proactive and results-oriented mindset.
• Strong problem-solving abilities and effective teamwork 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 Role

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery 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 natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• 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 natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation skills.

Job Purpose

The School Nurse provides medical care for students throughout the school day, and oversees school wellness programs.

Start date: immediate

Job Duties and Responsibilities

Provide Nursing Care Services

• Dispense prescription medications to students as per parents or doctors’ instructions / medical directives.
• Provide basic first aid for minor injuries such as cuts, scrapes and bruises, and stabilising severely ill or injured students until parents, guardians or emergency services arrive;
• Ensure a clear and smooth communication with the families and the team members.
• Complete relevant nursing documentation.
• Maintain and restock First Aid Kits

Manage School Wellness Program

• Educate students on hygiene and safety practices.
• Collect and analyse statistics using our record.
• Organise meetings with the School Principal to follow-up on healthcare needs.
• Participate and moderate educational team meetings to better assist special needs children, and liaise with the Special Needs support team of practitioners.
• Participate in the organisation of protocols to deal with major emergencies occurring in the school.
• Communicate with the canteen service to come up with balanced, healthy meals adapted to the children and follow-up weekly.
• Conduct student hearing and vision screenings.
• Verify vaccination records.

Daily Routine Duties

• Communicate and coordinate with the school cleaners and classroom assistants to ensure that they are adequately equipped and informed on hygiene and safety practices.
• Record student absences, communicate with families in case of a child’s absence, finding out the reasons, thus getting a better visibility of the potential diseases in the school.

If while carrying out the duties of the role, the job holder identifies any instance that a child is suffering or likely to suffer significant harm either at school or at home, s/he must report any concerns to the School Principal so that a referral can be made accordingly to the relevant third-party services.

Job Competencies

• Standard clinical skills to dispense medications and treat minor ailments and injuries
• Adequate math skills to ensure proper dosage amounts when dispensing medications
• Good communication skills to work with students and parents
• Ability to demonstrate a calm, caring demeanour when working with children
• Good presentation skills for training school staff
• Ability to remain focused in the event of a student medical emergency.

Job Key Relationships

• Line managed by School Principal
• Liaise with School Principal, pedagogical team, and other support team members
• Liaise with parents, guardians, and other external parties like Special Needs healthcare practitioners, ambulance paramedics, enrichment activities providers etc.

Required Qualifications and Desired Attributes

• Must have completed a minimum of 1,000 hours of clinical experience or three years of academic experience.
• A minimum of 2 years of experience as a school nurse is preferred; experience with young children will be considered a plus.
• Fluency in English, bilingual in French and English is preferred, but not a must.

Desired attributes:

• Kind, benevolent, and reassuring, able to listen to the children’s needs and attend to their well-being.
• Results-driven and resourceful, with a strong affinity for critical thinking, hands-on execution, and problem-solving
• Self-directed and able to work without supervision
• Excellent team-player
• Dynamic and proactive
• Diligence

Working Conditions

Workplace

• Most time on La Petite Ecole campus site, when needed or required, off site on school functions, excursions, meetings, events, and professional development.

Work Time

• Monday to Thursday: from 8am until 5pm
• Friday: from 8am until 4pm
• Attending the team meetings in the week prior to back-to-school day.

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 Assoc Prof Cai Zhenning on Numerical Simulation of Open Quantum Systems under a project on "Long-time Simulation of Open Quantum Systems for Spin Chains and Non-Relativistic Particles".

The main responsibilities of the position include:

1. Develop algorithms and write scientific papers for the research project.
2. Attend regular group meetings and present his research work.
3. Collaborate with other colleagues and students in the research group.

Qualifications / Discipline:

• PhD degree in Applied/Computational Mathematics

Skills:

• C/C++ and MATLAB programming languages, knowledge in partial differential equations and quantum mechanics.

Experience:

• At least two years of research experience in scientific computing

Sequential has developed the world’s first at-home skin test, that deeply analyses your skin genetics and skin microbiome. Giving you a complete picture of what you’re born with (genetics) and the environment you are in (the microbiome). https://www.sequentialskin.com/.

We have a great opportunity for a laboratory technician role to join Sequential team.The core functions of this role are to assist in the daily operation of our Molecular Biology team. These functions include performing accurate molecular-based testing, develop and validate molecualr assays.

Key duties include:

• Assist in conducting laboratory experiments related to skin microbiome analysis, including sample collection, DNA extraction, and microbial culture.
• Support senior researchers in performing molecular techniques such as qPCR, DNA sequencing, and microbiome analysis.
• Help in managing and maintaining laboratory equipment and inventory.
• Contribute to data collection, organization, and initial analysis.
• Maintain accurate and detailed laboratory records.
• Provide support in preparing reports, documentation, and presentations.
• Stay updated on basic microbiome and molecular biology techniques.

Qualifications:

• Diploma or Bachelor’s degree in Microbiology, Biotechnology, Molecular Biology, or a related field.
• Familiarity with basic laboratory techniques such as pipetting, sample handling, and microbiology protocols.
• Strong organizational skills and attention to detail.
• Eagerness to learn and work in a team-oriented environment.
• Basic computer skills for data entry and record-keeping.

Experience

• Hands-on experience on performing DNA-based test, e.g. DNA extraction, PCR and qPCR.
• Practical knowledge of basic microbiological handling techniques is highly preferred.

Attributes

• Aseptic techniques to avoid the potential for contamination are a must.
• Good time management skills are a must, in order to keep up with the pace of a busy production environment.
• Proven ability to work efficiently without close supervision.
• Act with integrity at all times and maintain a high standard of work.
• Willing to learn and have a “can-do attitude”.
• Able to take initiative, and work in a fair and responsible way.
• Can communicate clearly and effectively across multiple teams.

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

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

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

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

Job Requirements:

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

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

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 looking for postdoctoral research fellows to work on topics in machine learning and its scientific applications. The successful candidate will work with Principal Investigators in I-FIM on these topics.

The main responsibilities of the position include conducting cutting-edge research in machine learning theory and algorithm research, with applications to materials and quantum sciences. Topics include (but are not limited to) the following:

• Data-driven multiscale modelling
• Approximation and optimisation theory of new architectures with applications in dynamics
• Learning and controlling deterministic and stochastic dynamics

Job Requirements

• PhD in (Applied) Mathematics, Computer Science, Physics or related fields
• Strong knowledge in machine learning and deep learning
• Familiarity with basic theory of dynamical systems, ODEs, PDEs, and stochastic processes
• Knowledge in computational physics and chemistry are desirable
• Ability to code in Python with at least one of the popular deep learning frameworks, e.g., Jax, PyTorch
• Academic research with strong publication record. The candidate should have published in top machine learning conferences and journals, such as ICML, ICLR, NeurIPS, JMLR, and/or top journals in applied sciences.

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

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research associate for polymeric biomaterials.

As a research associate in AM.NUS, you will be working on projects on the following areas:

• Synthesize new polymeric biomaterials for advanced bioinks.
• Undertake internal capability development projects and collaborative projects with researchers and industrial partners.
• Produce scientific research papers and grant proposals, and present in seminars, workshops, and conferences.
• Explore collaborations with researchers and industrial partners.
• Assist laboratory safety and procurement whenever necessary.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore (NUS)’s world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS will explore a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalized patient treatments.
AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) center in an Institute of Higher Learning in Singapore which comprises the following Faculties (Medicine, Science, Dentistry and Design & Engineering). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC).

Qualifications

• Master in Materials Science and Engineering/ Biomedical Engineering/Chemical Engineering/ Pharmacy or related field.
• Experience in polymer synthesis and characterization.
• Experience in cell culture techniques.
• Familiarity with 3D printing is an advantage.
• Proficiency in written and spoken English.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• 
  
• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

DESCARTES PROGRAM

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, Naval Group, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

DESCRIPTION

The research work concerns the remote sensing demonstrator developed in the context of the DesCartes project on the use of hybrid artificial intelligence for monitoring, diagnostic and prognostic in structural mechanics in strong connection with the industrial partners: Naval Group and CETIM.

From the already performed researches in the context of Descartes involving inverse identification by data assimilation (images and acoustic spectra) for localizing localized damages (with their sizes and severities) at the laboratory scale, the present position, aims at gaining maturity to prove the validity at the semi-industrial level.

The technologies will apply on pressurized reservoirs, composites and metallic, with data and monitoring provided by the industrial partners, Naval Group and CETIM respectively. Damages, delamination in composites and corrosion in the metallic case, will be identified by using mechanical models (with the reduced model counterparts) ensuring the learning, smart-sensing by locating the adequate sensors (static and piezo-electric) in the optimal location (while minimizing the number of sensors), the real-time data assimilation and the efficient solution (by using hybrid AI) of the associated inverse problems. The integration of all these technologies will constitute the reservoir digital twin.

EXPERIENCE & QUALIFICATIONS

Minimum:

– PhD defended with post-doctoral experience in the domain of advanced simulation in structural mechanics

– Background and research experience in mechanical engineering and computational mechanics

– Experience on mechanical modelling and simulation

Keywords:

1. Structural mechanics
2. Machine learning
3. Inverse methods
4. Finite elements

FURTHER INFORMATION & CONTACT

Gross Monthly Salary Range (SGD): 6,900 to 10,000 (depending on suitability and experience).

Duration of the contract: 1 year contract

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.

Interested applicants, please send your resume to:

– FRANCISCO CHINESTA SORIA <[email protected]>

– Please attach your full CV, with the names and contacts (including email addresses) of two-character referees.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:
• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers;

Initial appointment is a contract for a year, subject to renewal.

Interested applicants should send your CV to the NUS Career Portal.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims at studying various threats in software defined networks (SDN) and developing security solutions for detecting anomalies and mitigation.

The Research Assistant (RA) will be responsible to assist in developing techniques such as AI/machine learning/deep learning , to model the normal behaviours and detect anomalies in SDN.

The work involves experimentation with a testbed and proof-of-concept demonstrations for use-cases. The work and findings will lead to top-tier publications, invention disclosures and proof-of-concept demonstrations.

Job Requirements

• A Masters or Bachelors degree in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in areas - network security, software defined networking, AI/machine learning/deep learning.
• Interests and skill in research and development.
• Software skill for testbed Experimentation and proof-of-concept demonstrations.
• Open to Fixed Term Contract.

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 Singapore Nuclear Research and Safety Initiative (SNRSI), a university-level research institute at NUS established in 2014, is committed to excellence in nuclear safety research. Within SNRSI, the Radionuclide Dispersion and Dose Assessment team specialises in modelling the migration and impact of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is dedicated to advancing the academic community while tackling real-world challenges faced by government agencies and stakeholders.

With several positions open for Research Assistant/Research Associate, we welcome motivated candidates to join us – an excellent opportunity to collaborate with colleagues from world-leading universities and develop essential skills in the exciting world of modelling and cutting-edge technologies, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths.

• Radionuclide dispersion modelling

The migration of radionuclides, in the air or water bodies (both surface and underground) will be modelled using either community dispersion models or in-house-developed codes. The aim is to enhance our understanding of how radionuclides are transported and dispersed in the environment, providing a robust foundation for further impact or consequence assessment.

• Radiological impact and dose assessment

Mathematical models or empirical approaches are employed or developed to quantitatively analyse radionuclide pathways. The radiation exposure doses, potential contamination of food or water sources are subsequently estimated. The goal is to provide reliable and practical references for emergency planning or mitigation measure implementation.

Qualifications

• A degree or higher qualification in a relevant field, such as physics, mathematics, environmental sciences, and computer science, etc.
• A strong understanding of fundamental physics, mathematics, and statistics.
• Proficient in Python programming. Having experience in other coding languages, such as C/C++, Fortran, MATLAB, or Linux shell scripting, is a plus.
• Experience with modelling using tools/models such as FLUENT/OpenFOAM, Deflt3D, ROMS, WRF, HYSPLIT, or RODOS is considered an advantage.

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

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

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

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

Job Requirements:

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

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

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

• Conduct research on the formulation, processing, and 3D printing of functional materials for actuation and sensing applications. This includes developing and optimizing material compositions, printing processes, and performing experimental characterization and testing to evaluate performance.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, Chemical Engineering, or a related field.
• Strong background in materials formulation, polymer processing, and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication 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 successful candidate will work with Associate Professor Zhigang Yao on a project titled “Single Particle Cryo-Electron Microscopy: Reconstruction and Uncertainty Quantification”.

The main responsibilities of the position include:
• Collaborating with the research team to develop and apply neural network methods and manifold fitting theories for CryoEM 3D reconstruction.
• Conducting large-scale numerical experiments.
• Assisting with the preparation of research papers and presentations.

Qualifications

Qualifications / Discipline:
• A Bachelor degree in Mathematics, Statistics, or a related discipline.
• Solid foundation in mathematical concepts.

Skills:
• Proficiency in coding and programming (e.g., Python, MATLAB).
• Knowledge of neural networks and machine learning is advantageous.
• Strong problem-solving and analytical thinking abilities.

Experience:
• Experience with numerical methods or data analysis is preferred.
• Familiarity with manifold fitting theories is a plus.

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 Cybersecurity R&D Laboratory (NCL) is a shared national infrastructure that provides computing resources, repeatable and controllable experimentation environments, as well as application services for the cybersecurity R&D community. The infrastructure includes a cluster of 300 nodes that provides a wide range of provisioning mechanisms, security data and security services. NCL aims to provide a platform that fosters and encourages collaboration among researchers in academia, the industry as well as government bodies both locally and internationally through the sharing and validation of research outcomes. The laboratory was established in November 2015 and is funded by the National Research Foundation (NRF).

Job Description:

• Design and manage cloud-based computing system and network infrastructure
• Work on Security with AI, focusing on leveraging LLM for security applications
• Help to oversee our progress of our grants

Qualifications

• PhD in Computer Science or relevant
• Interest and experienced in looking for expertises in cloud security, applied cryptography, adversarial machine learning, etc
• Enthusiasm for problem-solving and able to work in a fast-paced environment
• Strong interpersonal skills with the ability to communicate effectively

• Oversee and set the strategic direction for R&D and Sales, ensuring alignment with company goals to drive growth and innovation.
• Develop and implement sales strategies to increase revenue and expand market share.
• Ensure R&D efforts focus on creating products that meet customer needs and market demands.
• Lead and foster a collaborative culture between R&D and sales teams to ensure seamless product development and market delivery.
• Collaborate closely with marketing, production, and operations to ensure timely and efficient product launches.
• Monitor sales performance, set objectives, and analyze results to continuously optimize the sales process.
• Manage key performance indicators (KPIs) for both R&D and Sales teams, ensuring alignment with business objectives.
• Establish strong relationships with customers and external stakeholders to gather feedback and identify new market opportunities.
• Manage R&D and sales budgets, ensuring cost-effective operations while maintaining quality and performance standards.

Requirements:

• Bachelor’s degree in Food Science or a related field.
• A minimum of 10-15 years of experience in R&D and sales within a manufacturing environment.
• Fluency in Japanese to communicate effectively with Japanese clients and headquarters.
• Proven ability to lead high-performing teams with strong interpersonal and communication skills.
• Strong understanding of market trends, customer behavior, and the competitive landscape.
• Expertise in formulating and executing sales and R&D strategies aligned with business goals.
• Solid financial acumen, including budgeting, forecasting, and cost management.
• Excellent problem-solving, decision-making, and strategic thinking 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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a post-doctoral research fellow. The successful candidate will work on reliability analysis of a floating tidal-wave energy system. Candidates with expertise in reliability analysis and dynamic analysis of floating structures are preferred.

Job Requirements

• Possess a recognised PhD degree in offshore engineering, or a related discipline.
• Strong writing and communication skills
• Good publication record is advantageous
• Open to fixed term contract

Location: Singapore
Department: Research & Development (R&D)
Reports to: Chief Executive Officer (CEO)
Employment Type: Full-Time

KEY Responsibilities:

1. Research & Innovation:

• Lead research initiatives focused on underwater robotics, including navigation, machine learning algorithms, and sensor integration.
• Drive innovation to enhance the performance, autonomy, and efficiency of Roverclean and future robotic products.
• Stay ahead of industry trends, emerging technologies, and advancements in underwater robotics.

2. Product Development:

• Oversee the development and improvement of Alicia Bots’ underwater robotic systems.
• Collaborate with cross-functional teams, including software, mechanical, and electrical engineers, to ensure seamless integration of robotics solutions.
• Evaluate technical feasibility and scalability of proposed robotic solutions.

3. Team Leadership:

• Build, mentor, and lead a high-performing team of robotics engineers and researchers.
• Foster a collaborative and innovative work environment.
• Provide technical guidance and ensure team alignment with company goals.

4. Strategic Planning:

• Develop and execute a long-term R&D strategy for underwater robotics in alignment with company objectives.
• Define research priorities, set milestones, and monitor project timelines and deliverables.

5. Collaboration & Partnerships:

• Build strategic partnerships with academic institutions, research labs, and technology partners.
• Represent the company at industry conferences, workshops, and technical forums.

6. Technical Documentation:

• Ensure accurate and thorough technical documentation for all research projects and product developments.
• Prepare technical papers, reports, and patents where applicable.

Qualifications & Experience:

Education:

• Bachelor's or Master’s in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or a related field with a focus on underwater systems or marine technology.

Experience:

• Minimum 5-10 years of experience in underwater robotics research or robotics product development.
• Proven track record of leading R&D teams and delivering successful robotic systems or projects.
• Experience with underwater navigation systems, sonar technologies, and AI/ML integration in robotic systems.
• Previous experience in the maritime, offshore, or defense industries is preferred.

Technical Skills:

• Proficiency in robotics control systems, underwater communication systems, and sensor technologies.
• Strong programming skills in languages like C++, Python, or ROS (Robot Operating System).

Soft Skills:

• Strong leadership and mentoring abilities.
• Excellent problem-solving and analytical thinking skills.
• Effective communication and interpersonal skills.
• Ability to work collaboratively across departments and international teams.

What We Offer:

• Competitive salary and performance-based incentives.
• A dynamic and innovative work environment.
• Opportunities for professional growth and technical leadership.

Exposure to cutting-edge maritime technologies and global industry leaders.

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant for Saw Swee Hock School of Public Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to model the impact and cost-effectiveness of contact-transmissible infectious diseases. This role offers the opportunity to contribute to cutting-edge research, collaborate with a team of experts, and work on other infectious disease analyses.

Job scope:
• To undertake high-quality research, including contributing to drafting major grant proposals and/or leading in drafting small grant proposals;
• To develop and extend mathematical and economic models of contact-transmissible infectious diseases.
• To support ethics applications;
• To contribute to peer-reviewed publications and other outputs, including as lead author;
• To collaborate with modellers, economists, and epidemiologists at NUS and other institutions.
• Contribute to drafting grant proposals and co-authoring publications.
• To review the latest research on contact-transmissible infectious diseases regularly.
• To disseminate research findings through presentations at international conferences and meetings with key partners (e.g., WHO).
• To contribute to the broader research community through journal and grant reviews.
• To participate in mandatory NUS training and keep abreast of advancements in research methods.

Requirements:
• Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science.
• Experience with quantitative research, preferably related to infectious disease modelling.
• Strong analytical and data management skills using electronic medical records, clinical trials, and observational data.
• Experience with statistical software (e.g., R) and programming languages (e.g., R, C/C++, Python).
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively within a team.
• Strong organizational skills and time management.

The following knowledge and experience would be advantageous:
• Experience contributing to research grant applications.
• Experience with teaching and assessment (desirable but not essential).
• Experience with epidemiological modelling of infectious diseases (especially sexually transmitted diseases).
• Experience with data analysis using statistical inference techniques.
• Experience with health economic evaluations.
• Experience with parallel and/or high-performance computing.

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Interested applicants are invited to apply directly at our NUS career portal and submit the following documents by 15 Feb 2025:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

For further enquiries, please contact Dr Kiesha Prem ([email protected]).

Please note that only shortlisted candidates will be contacted.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Job Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential) - Demonstrated experience in using a range qualitative research methods (essential)
  - Track record of publishing in international peer-reviewed journals (desirable)
  - Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply
  

Skills

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at [email protected].