Total 2,151 Science / R&D / Research job vacancies in ngee ann polytechnic clementi campus

We are looking for a candidate for high-speed analog integrated circuit design. This candidate will contribute to the development of high linearity silicon photonics modulators for 6G and beyond communication systems. This requires the candidate to work closely with the optics team on the electro/optical co-design as well as system integration and validation.

• Perform system level analysis and design, to derive circuit-level design specifications
• Design and tapeout ICs which include state-of-the-art circuit blocks, e.g. wideband linear low-noise amplifier and transimpedance amplifier with a focus on circuits interfacing with silicon photonics elements
• Work together with team to investigate novel circuit/system solutions to create new inventions

Job Requirements

• Qualification & Field of Study: Minimum Bachelor’s degree and above in Electronic Engineering
• Min. Years of Experience: Minimum 2-years of transistor level analog circuit design experience

Other Requirements (e.g. Skills, Competencies)

• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Good communication skills (both written and spoken)
• Able to generate high quality scientific publications and patents
• Team player, quick learner and self-driven

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for research assistant/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Centre for Sleep and Cognition, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with the Principal Investigator, lab members, and collaborators to ensure successful completion of research projects (including neuroimaging, behavioral, and digital tracking experiments), smooth operation of computing and neuroimaging equipment, and efficient management of neuroimaging database in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in all neuroimaging and behavioral experiments such as subject recruitment, behavioral testing, digital tracking, image data collection, and data analysis. He/she will also support computing server/storage administration (with support from external vendors), neuroimaging equipment maintenance, and general lab administration like website. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, neuroimage processing using automatic or semi-automatic scripts, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging softwares and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging, cognitive neuroscience, and neuropsychiatric disorders. The research assistant/associate will have the opportunity to liaise and work with other clinical collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with neuroscience/psychology/life science/engineering/computing background with strong interest to learn
2. Excellent written, oral communication skills
3. Prior programming experience in statistical analysis, medical image analysis or database management (e.g., MATLAB, shell, python) is a plus but not necessary
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

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

Purpose of the Job

The role plays a critical role in shaping the long-term vision and strategic direction of the organization. This position involves analysing market trends, competitive landscapes, and internal capabilities to identify growth opportunities, mitigate risks, and enhance overall organizational performance. The Senior Manager collaborates with cross-functional teams, executive leadership, and external stakeholders to develop and execute strategic initiatives that drive business success.

Key Accountabilities

• Strategic Planning:Lead the development and refinement of the organization’s strategic plan, ensuring alignment with business objectives and market dynamics.
  Drive the strategy formulating process and strategy workshops in order to enhance business position.
  Conduct thorough research and analysis to identify emerging trends, competitive threats, and growth opportunities.
  Provide strategic recommendations to senior leadership based on data-driven insights.
  Assess risks associated with strategic decisions and develop mitigation strategies.
  Stay informed about geopolitical, economic, and regulatory changes that may impact the organization.
  
• Market Research, Analysis and Business Intelligence:Oversee market research initiatives, including customer segmentation, market sizing, and competitive benchmarking.
  Monitor industry trends, regulatory changes, and technological advancements to inform strategic decision-making.
  Analyse data to identify gaps and areas for improvement, translating findings into actionable strategies.
  Collaborate with internal stakeholders to gather business intelligence and competitive intelligence.
  Develop and maintain a comprehensive understanding of the organization’s strengths, weaknesses, opportunities, and threats.
  Use data analytics and modelling to support strategic initiatives and drive informed decision-making.
  
• Strategic Initiatives:Lead cross-functional teams in the execution of strategic projects.
  Evaluate investment opportunities and assess their alignment with the organization’s strategic priorities.
  Monitor progress and adjust strategies as needed to achieve desired outcomes.
  
• Stakeholder Engagement:Build and maintain relationships with key internal and external stakeholders, including executives, industry experts, and partners.
  Present strategic recommendations to senior leadership and the board of directors.
  

Qualifications

• Education: MBA or an equivalent degree
• Experience: 12-15 years of relevant finance, commercial, research and strategic / corporate planning experience
• Specialized knowledge: Familiar with strategy frameworks and tools, ability to develop business case & financial modelling
• Skills and Abilities: Communication skills, leadership/management skills, planning, organizing, attention-to-detail, analytical skills, interpersonal skills, flexibility, adaptability, advanced Microsoft Office; problem-solving, critical thinking, team player)

We regret to inform that only short-listed candidates will be contacted for an interview.

AET is an Equal Opportunity Employer. All qualified applicants will be considered without regard, to age, colour, disability, race, religion, gender, gender identification, nationality, marital status, or characteristics protected by law.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Zhu Ruyi under a project on Modified DNA/RNA for biomedical applications and biocatalysis.

The main responsibilities of the position include:

• Lead the research projects
• Train juniors (PhD or undergraduate students)
• Assist and help with lab management

Qualifications

Qualifications / Discipline: PhD in Chemistry or Chemical Biology

Skills: Organic Synthesis, Catalysis, Chemical Biology

Research Scientist (Power & Energy Systems Modelling)

We are looking for researchers who have a passion for power and energy systems and advancing the growth of sustainable energy. They will develop models and simulations of power and energy systems, analyse their resiliency and efficiency, and optimise their planning, operations, and deployment particularly to address problems relating to the renewable energy transition.

Successful candidates will work together with a multidisciplinary team of scientists and engineers to develop innovative solutions to support decisions around power system planning, energy economics, electricity markets and policy. The project will also involve collaborations with external organisations such as government planners and industry practitioners in order to move research and technical capabilities closer into real-world policy and planning practices.

Key requirements

• Ph.D in Electrical Engineering or Operations Research, or other related fields
• Proficient in programming in Python, and/or Java/C++
• Excellent written and verbal communication skills
• Ability to work individually as well as in a team in a fast-paced dynamic research environment

Preferred requirements and experience

• Candidate demonstrating a good understanding of the power systems economics, including distribution and transmission operator decision-making processes in different regulatory environments would be highly preferred.
• Experience in power system analysis and optimisation, including and not limited to balanced and unbalanced power flow, OPF, economic dispatch, unit commitment.
• Experience in usage of optimization solvers - CPLEX, GUROBI, GLPK, etc.
• Experience in simulation with power systems modelling tools (PSS/E, PLEXOS, OpenDSS, GridLabD, PowerFactory).
• Experience in analysis tools or integrated assessment platforms or macro energy systems modelling tools (MARKAL/TIMES, OSeMOSYS, SESAME, etc).

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.

Tanglin Mission

Tanglin Trust School Singapore has a long tradition of providing British-based learning with an international perspective. At Tanglin we strive to make every individual feel valued, happy and successful. Responsibility, enthusiasm and participation are actively encouraged and integrity is prized. Working together in a safe, caring yet stimulating environment, we set high expectations whilst offering strong support, resulting in a community of lifelong learners who can contribute with confidence to our world.

Our Vision

We aspire to be the best school in the world with a dynamic learning community which nurtures and inspires every individual to be the best they can be. Our core values of Respect, Responsibility and Purpose are at the heart of everything we do across the school.

The Role

We require a full-time teacher to work in the Mathematics Faculty who could potentially teach across the full 11 – 18 age range. In the Sixth Form, the school offers A Level Mathematics, A Level Further Mathematics, and IB Mathematics (Analysis and Approaches and Applications and Interpretations at Higher and Standard levels). Whilst it is not a pre-requisite, experience in either post-16 pathway would be an added advantage.

The role reports to Head of Faculty – Mathematics.

Key Responsibilities

1. Teaching & Learning

• Deliver the curriculum to assigned classes in accordance with the School’s timetable.
• Teach responsively according to the abilities and learning needs of individual students.
• Support nurturing the attributes of the Tanglin Learner Profile with its emphasis on ‘risk-taking’, ‘independence’ and ‘resilience’ as key features of student development.
• Promote independent learning and study skills by adopting teaching and learning strategies which develop the competence and confidence of every student.
• Deliver lessons that inspire and enthuse students to love and enjoy Mathematics.

2. Planning & Development

• Work with the members of the department to review and develop schemes of work for Years 7 to 13 as appropriate.
• Plan, jointly with other teachers where appropriate, the long, medium and short term curriculum for each class taught according to those schemes of work.
• Contribute to the planning and implementation of curricular, cross-curricular and other initiatives according to the school’s calendar.
• Support a school culture of innovation that includes integration of technology and the on-going development of the ‘digital citizen.’
• Keep abreast of current developments in Mathematics education and to assist the Head of Faculty (HOF) and/or Assistant Head of Faculty (AHOF) in adapting curriculum content, methods of teaching and examining as appropriate.
• Assist the HOF in identifying areas for professional development within the Mathematics department.

3. Management of Resources and the Teaching Environment

• Assist the HOF/AHOF in identifying appropriate resources within the limits of the departmental budget.
• Contribute to the resources of the department through writing of assignments, tests, worksheets and other resources as appropriate and making them available to all colleagues.
• Assist the HOF/AHOF in ensuring that departmental rooms present stimulating environments, which help to influence students’ attitudes positively towards Mathematics.
• Work on tasks as reasonably directed by the Head of Faculty for the fair distribution of work amongst the department.

4. Assessment, Recording & Reporting

• Ensure students’ work is regularly assessed according to Maths department policy.
• Set homework in line with school policy.
• Report to parents in accordance with the school’s reporting policy as laid down in the staff handbook.
• Use the information gained from assessment formatively, to inform planning and generate further improvement in pupil achievement.
• Assist the HOF/AHOF in the setting and marking of school examinations and to supervise entries for external examinations.

5. Pastoral Care and Co-Curricular Responsibilities

• Perform the role of form tutor as required and fulfil the responsibilities of that position.
• Contribute to co-curricular activities that broaden pupils’ experiences and contribute to the general life of the school.
• Follow the school’s policies and procedures with regard to discipline and behaviour, daily routines, duties, homework, leave of absence, and visits, as laid down in the staff handbook.
• Take part enthusiastically in whole school and senior school themed days.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.

6. Communication and Liaison

• Promote the study of Mathematics amongst students and parents.
• Attend and contribute to meetings of a professional nature with HOF, Head of Year (HOY), Senior School Leadership Team (SSLT) and in other circumstances when requested.
• Liaise with the AHOF and HOF in respect of pupil records, rewards and sanctions.
• Maintain appropriate links with teaching colleagues in all sections of the school and foster cross-curricular links where appropriate.
• Liaise with members of the learning support team with regard to individual students who may have particular needs, to ensure that those needs are understood, planned for and met.
• Liaise with pastoral staff, including form tutors, HOYs, the assistant heads of school and the head of careers on matters pertaining to the study of Mathematics.
• Contributie to the strengthening of the parent-teacher partnership in individual and whole school initiatives as and when required.

Personal Specification

1. Proven experience of being able to enthuse and inspire students of all abilities to love and enjoy maths.
2. The ability to teach using a range of teaching and learning styles that capture and hold the attention of inquisitive learners.
3. A passion for getting students to see beyond the artificial barriers that can limit their learning.
4. Excellent communication and team-working skills that allow you to work productively with a department of dedicated and enthusiastic Maths teachers with a range of experiences and backgrounds.
5. The drive to develop creative new approaches to student learning within a collaborative environment.
6. Experience of teaching the British National Curriculum for Maths, I/GCSE Maths and have probably taught either A-level Maths or Maths as part of the International Baccalaureate diploma programme. (Applications from teachers who only wish to teach Key Stage 3 or Key Stage 3 & 4 are welcomed).
7. Experience of integrating technology such as iPads or TI-inspire calculators into their lessons.
8. Proven experience of supportive, caring and informed pastoral guidance of students.
9. Can contribute to the school’s broad range of co-curricular activities.

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 Fellow

We are looking for a Research Fellow with a quantitative background for ongoing research in Public Health. They will be working within the team under the Principal Investigators Assistant Professor Borame Dickens and/or Professor Alex R Cook.

Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications. We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:
Disease modelling
Statistical analyses
Academic writing and publication of results
Preparation of meeting materials for stakeholders

Requirements:
Completed a Doctorate degree in a quantitative discipline (statistics, mathematics, computational biology, data science).
Strong programming skills (R preferred)
Statistical competence (Bayesian is advantageous)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant will work closely with the Principal Investigator (PI) to design and build desirable microstructure to enhance mechanical properties of steels by additive manufacturing.

The job scope of this position is:

• Conducting literature reviews and understanding state of the art
• Planning and implementing experiments
• Developing simulation models to guide microstructural engineering
• Analysing the experimental and simulation data
• Writing progress reports and research papers

Qualifications

• Bachelors/Masters Degree in Materials Science or Mechanical Engineering
• Knowledge of metallurgy and microstructural engineering is highly required
• Expertise in microstructural characterisation techniques (e.g. TEM, EBSD and FIB) and mechanical testing
• Expertise in numerical simulations (e.g. phase field, FEM)
• Experience with metal additive manufacturing (e.g. powder bed fusion, directed energy deposition) will be advantageous
• Good publication record will be advantageous
• Self-motivated, good team player

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 candidate is responsible for the design of highspeed wireline transmitter >100Gbps.
• The candidate needs to work on the system architecture, schematic design, and mask layout.
• He/she also needs to perform pre and post-layout simulation to ensure the functionality and performance.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• 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

A Research Fellow (Single Atom Photothermal Catalysis, Defect and Strain Chemistry, Surface/Interface Kinetics, Mechanistic Studies) position is open in the research group of Professor Ho Ghim Wei, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

He /she is required to perform:

- Precise synthesis of atomic scale heterojunctions, single atom catalyst and dynamic regulation of phase transition of metal/metal oxide nanostructured materials and 2D membrane.

- Design, testing and operando studies of photo/photothermal catalysis system.

Qualifications

• Possess a PhD and BSc Degree in Engineering/Chemistry.
• Experienced in design, synthesis, and characterization of photon/thermal conversion and production of clean fuel.
• Competent in using various synthesis techniques, materials characterization tools e.g. spectroscopy, microscopy etc.
• Familiar with the standard nanofabrication tools and processes
• Proficient in using some of the softwares eg. photoshop, 3D max, solidWorks, autoCAD.
• Able to work on materials and system scalability towards practical applications.
• Have well-established and independent analytical and problem-solving skills
• Excellent communication skills to publish and to present results.
• Open to fixed term contract.

Job Description

The Human Development Department at the Singapore Institute for Clinical Sciences, A*STAR, is looking for a senior bioinformatician with a keen interest in the gut microbiome and its impact on human health. The ideal candidate will have the unique opportunity to work in a dynamic, interdisciplinary environment. This role offers exclusive access to a rich array of clinical and omics data (specifically metagenomics and metabolomics data), enabling the candidate to explore and contribute to our understanding of the gut microbiome's role in promoting the health of women and children. We are seeking an individual who is not only experienced in bioinformatics but also passionate about translating complex data into meaningful insights for health and well-being.

Job Responsibilities

• Be responsible for metagenomics and other omics data processing and quality control.
• Perform integrative analysis on omics datasets, including but not limited to metagenomics, metatranscriptomics, metabolomics, proteomics.
• Setup bioinformatics tools/workflow, and develop applications with R Shiny, Python Dash or Matlab.
• Analyze data, interpret results and plan next step.
• Update project and prepare summary report regularly.
• Perform general data and server housekeeping.

Job Requirements

• A degree or masters in Computational Biology/Computer Science/Applied Mathematics/Applied Statistics.
• Strong analytical and programming skills (Python, R, Perl, or Matlab, UNIX environment).
• Experience with modeling, machine learning, and deep learning.
• Experience with metagenomics, metatranscriptomics, and metabolomics will be a plus.
• Strong project management and communication skill

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:

To assist investigators in conducting clinical trials and research according to study protocol, International Conference on Harmonization Guideline for Good Clinical Practice E6 (ICH GCP E6) and other applicable regulatory and ethical requirements as well as IMU Standard Operating Procedures (SOPs) and hospital policies.

Primary Responsibilities and Duties:

· Assist in the conduct of Clinical Study/Research and be incompliance with the ICH GCP E6 and other applicable regulatory and ethical requirements as well as IMU SOPs and hospital policies if applicable

· Assist the Principal Investigator in applying to the NHG Domain Specific Review Board (DSRB) or Institutional Review Board (IRB) for ethics review and to the Health Sciences Authority (HSA) for Clinical Trial Authorization (CTA)/ Clinical Trial Certificate (CTC)/Clinical Trial Notification (CTN)/Clinical Research Material (CRM) (if required)

· Liaise with the stakeholders (e.g. NUH Finance, lab, kitchen, etc) and coordinate related finances and logistics

· Attend trial-related initiation, close-up and other trial related meetings

· Plan, organise and co-ordinate trial study activities workflow

· Complete Case Report Forms (CRFs)

· Handle data entry and validation of study data

· Label and dispatch specimens to the relevant laboratory as in the condition as specified in the trial protocol/lab manual

· Label and store specimens in the condition as specified in the trial protocol/lab manual

· Trace laboratory and diagnostic reports (if any)

· Assist the investigator(s) in adverse events / serious adverse events reporting

· Maintain drug accountability logs

· Document and tabulate financial payments received and / or made to support the study

· Return all trial materials to sponsor company at the end of the study

· Maintain confidentiality on trial data

· Maintain Investigator Site File and ensure that all study documents are complete and up to date.

· Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol

· Assist investigators in obtaining informed consent

· Perform venepuncture and cannulation as required according to trial protocol

· Assist in the preparation/administration of medication intravenously (IVM)

· Maintain and update screening log & enrollment logs

· Schedule appointments for patients/subjects

· Ensure patients’/subjects’ compliance to trial medication (if any)

· Maintain confidentiality on patients’/subjects’ data

· Perform Code Blue Emergency procedures* on collapsed subjects/patients

· Provide regular trial updates to investigators/ sponsor companies and IMU Manager(s) for trial-related issues

Perform administrative duties as assigned by the Managers/Director

Requirements:

· Qualification: Diploma/degree in life sciences, diploma/degree in nursing, or equivalent preferred

· Minimum 2 years of clinical research experience preferred

· Good understanding of ICH GCP E6

· Motivated, self-driven and able to work independently and meticulously

· Good written and communication skills. Ability to speak other languages and common dialects will be an added advantage

· Possess strong interpersonal skills

· Flexibility to work on weekends and night shifts occasionally

Team player

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 candidate is responsible for the design of highspeed wireline receiver >100Gbps.
• The candidate needs to work on the system architecture, schematic design, and mask layout.
• He/she also needs to perform pre and post-layout simulation to ensure the functionality and performance.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• Open to Fixed Term Contract.

Research Scientist (Power & Energy Systems Modelling)

We are looking for researchers who have a passion for power and energy systems and advancing the growth of sustainable energy. They will develop models and simulations of power and energy systems, analyse their resiliency and efficiency, and optimise their planning, operations, and deployment particularly to address problems relating to the renewable energy transition.

Successful candidates will work together with a multidisciplinary team of scientists and engineers to develop innovative solutions to support decisions around power system planning, energy economics, electricity markets and policy. The project will also involve collaborations with external organisations such as government planners and industry practitioners in order to move research and technical capabilities closer into real-world policy and planning practices.

Key requirements

• Ph.D in Electrical Engineering or Operations Research, or other related fields
• Proficient in programming in Python, and/or Java/C++
• Excellent written and verbal communication skills
• Ability to work individually as well as in a team in a fast-paced dynamic research environment

Preferred requirements and experience

• Candidate demonstrating a good understanding of the power systems economics, including distribution and transmission operator decision-making processes in different regulatory environments would be highly preferred.
• More than 5 years of experience
• Experience in power system analysis and optimisation, including and not limited to balanced and unbalanced power flow, OPF, economic dispatch, unit commitment.
• Experience in usage of optimization solvers - CPLEX, GUROBI, GLPK, etc.
• Experience in simulation with power systems modelling tools (PSS/E, PLEXOS, OpenDSS, GridLabD, PowerFactory).
• Experience in analysis tools or integrated assessment platforms or macro energy systems modelling tools (MARKAL/TIMES, OSeMOSYS, SESAME, etc).

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 of Operations Research and Analytics (IORA) at National University of Singapore (NUS) is seeking a dedicated and analytical Research Fellow our team. The selected candidate will engage in cutting-edge research with our industry partner, focused on optimizing the liner shipping service network, which is pivotal to global trade. This involves enhancing the efficiency of operational maritime lines through strategic modifications, addressing challenges such as line configurations, port schedules, and operational costs.

Key Responsibilities

• Conduct extensive research to understand and improve the complex systems of liner shipping service networks, with a particular focus on service network structure, scheduling, and fleet management.
• Utilize machine learning techniques, particularly supervised learning and reinforcement learning, to predict maritime service demand and optimize line designs.
• Implement the Monte Carlo Tree Search (MCTS) methodology to explore and evaluate optimal line configurations, contributing to the dynamic and cost-effective operation of maritime networks.
• Collaborate with a team to develop and refine methodologies, and translate findings into actionable optimization strategies for immediate and incremental improvements.
• Produce scholarly articles for journal publication, present findings at relevant conferences, and develop educational materials based on the research.

Qualifications

• PhD in Operations Research, Transportation Engineering, Industrial Engineering, or related fields.
• Experience in maritime industry research, particularly in liner shipping service network optimization.
• Strong background in machine learning, especially in supervised learning and reinforcement learning.
• Excellent analytical, problem-solving, and computational skills.
• Ability to work collaboratively in a multidisciplinary team and communicate complex ideas effectively.
• Track record of scholarly publications in related fields is an advantage.

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.

ASIA RESEARCH INSTITUTE (ARI) JOB OPPORTUNITIES FY2024/25

POSTDOCTORAL FELLOWSHIPS

The Asia Research Institute invites outstanding, active researchers from around the world to work on an important piece of Asia-centred research in the social sciences or humanities.

Apart from the quality of the research proposal, and the applicant’s publication track record, positions will be awarded on the basis of the relationship of their research topic to the identified priorities and themes of ARI’s research clusters as listed in Research Clusters and Their Foci (click here). Given that a growing proportion of ARI’s funding is derived from external sources, strong preference will be given to candidates with potential to contribute to building competitive research grant applications.

Applicants must indicate the Research Cluster(s) concerned in their research proposal. In cases where there may be overlapping research interests, you may nominate up to a maximum of two (2) clusters.

JOB DESCRIPTION

Researchers will work under the supervision of the Cluster Leader and take the lead in duties such as organising workshops and conferences, participating in current cluster projects, and carrying out new projects (including applying for grant funding). Administrative duties and committee work will be assigned and form part of the position.

JOB REQUIREMENTS

1. Candidates must have fulfilled all requirements of securing a PhD from a reputable university at the time they take up their appointment at ARI.
2. If you are still a PhD candidate at the point of application, you may also apply provided that you are confirmed for graduation by your commencement date at ARI. An official letter from the Registrar’s Office of your university will be required to confirm the award of your PhD degree.
3. Candidates must have an existing track record of publication, and plausible plans for future high-quality publications to be completed at ARI.

TERMS OF APPOINTMENT

1. The appointment will be tenable for a period of two years.
2. Applications are invited for commencement in: Jun/Jul 2024 or Dec 2024/Jan 2025.
3. The Postdoctoral Fellowship remuneration is S$6,000 per month. This all-in sum is inclusive of stipends for housing and living expenses.
4. Please note that University Housing will not be provided, and appointees are expected to make their own private accommodation arrangements.
5. Travel assistance will be provided to eligible candidates.
6. Singapore Citizens and Permanent Residents are eligible for provident fund benefits.
7. All salary and benefits-in-kind are subjected to taxation in accordance with local tax laws.
8. There is support for research fieldwork and conference attendance (on application and subject to approval).
9. Research staff at ARI are expected to participate actively in the life of the Institute, including attendance at seminars, conferences and ARI social events.
10. Other benefits that the University provides and information about working at NUS and living in Singapore are available at Why Join Us. Terms and conditions, according to university guidelines, are subject to change without prior notice.

APPLICATION PROCESS

Please submit the following documents in one (combined) PDF and attach it under the CV column in the system:

1. Curriculum Vitae.
2. Synopsis of the proposed research project (maximum of 5 single-spaced pages) (please indicate the Research Cluster(s) you wish to apply for, you may nominate up a maximum of 2 clusters).
3. At least one short sample of published work, preferably in English.
4. Please indicate the name and contact details of at least 2 referees in your application.

Only fully completed applications will be considered.

1. All materials including research proposal (including if any, initial ideas for a research grant application) and CV must be submitted through our online application system.
2. As we receive high volume of applications, we strongly encourage you to apply well before the closing date.
3. We regret that only successful candidates will be notified (via email). Candidates who do not hear from the University within 10 weeks after the closing date may assume the position has been filled.
4. Any offer of appointment is conditional on approval by the National University of Singapore (NUS) and the Ministry of Manpower granting you an Employment Pass or other applicable work passes.
5. For further information, please see the Frequently Asked Questions (FAQ).

JOB DESCRIPTION

Responsibilities:

• Performing cell culture, western blot, protein extraction and a variety of sample preparation techniques for LC-MS analysis
• Performing basic usage and maintenance of Liquid Chromatography and Mass Spectrometry equipment
• Performing routine data analysis for mass spectrometry data
• Documenting and reporting of lab experiments and results
• Support lab operations by preparing common reagents and buffers, lab safety and other lab and administrative duties

JOB REQUIREMENT

• Bachelor’s degree in biology, chemistry, chemical biology or related field
• Motivated to learn new laboratory techniques.
• Responsible, organized and able to work independently.
• Ability to communicate and work well with others.
• Prior experience with liquid chromatography mass spectrometry is preferred but not required.
• Prior experience with R is a plus but not required.

[What you will be working on]

• Develop course including curriculum development, course delivery and project supervision
• Spearhead and identify new R&D opportunities with industry collaborations through securing grants from national competitive funding schemes
• Plan, lead, manage and undertake R&D projects to fulfil the required project deliverables

[What we are looking for]

• At least 3 years of relevant experience in IT-related field
• Relevant qualification in the area of Computer Science, Computer Engineering, Information
• Technology or related fields of study
• Strong interest to engage in applied R&D and trainings
• Experience as a Principal Investigator to put up viable proposals to secure grants from national competitive funding schemes
• Preferably have worked with local and overseas R&D institutions
• Good analytical skills and able to communicate well
• Possess a passion for working with youths, nurturing them and moulding their characters

JOB DESCRIPTION

Responsibilities:

• Performing cell culture, western blot, protein extraction and a variety of sample preparation techniques for LC-MS analysis
• Performing basic usage and maintenance of Liquid Chromatography and Mass Spectrometry equipment
• Performing routine data analysis for mass spectrometry data
• Documenting and reporting of lab experiments and results
• Support lab operations by preparing common reagents and buffers, lab safety and other lab and administrative duties

JOB REQUIREMENT

• Bachelor’s degree in biology, chemistry, chemical biology or related field
• Motivated to learn new laboratory techniques.
• Responsible, organized and able to work independently.
• Ability to communicate and work well with others.
• Prior experience with liquid chromatography mass spectrometry is preferred but not required.
• Prior experience with R is a plus but not required.

Overview*
We are looking for a fulltime research engineer for research projects related to robotic endoscopic procedures. In particular, the research engineer will be involved in projects that focus on developing
support structures for robotic endoscopic procedures.
Job Responsibilities*
The selected candidate shall perform a variety of functions related to research under the supervision
of the Principal investigator or his designate:
Main research activities
- Design, modify, enhance support structure for robotic endoscopic procedures.
- Perform ex-vivo experiments.
- Perform first-in-human clinical trials.
Other job responsibilities include.
- Assist the Principal Investigator in submitting progress reports.
- Coordinate and prepare documents on study-related meetings.
- Maintains study-related progress, provide regular verbal and written study updated to
Principal Investigator
- May also be involved in other research projects as assigned by the Principal Investigator
Related performance indicators
1) Successfully designed a working prototype of the support structure for use in ex-vivo
experiments and first-in-human clinical trials.
2) Successful performance ex-vivo experiments and first-in-human clinical trails.
3) Weekly verbal updates to Principal Investigator
4) Monthly written progress reports to Principal Investigator
Requirements*
Qualification and Required and Area of Discipline
Master/undergraduate in mechanical, biomedical engineering or related fields.
Required Competencies and Capabilities (Skills, Experiences and Professional Licences)
Knowledge of medical tools/instruments, mechanics is an advantage.
Knowledge of electronic sensors is an advantage.
Has previous hands-on experience in designing biomedical engineering products?
Team player with good verbal and written communication skills
Able to work independently, write and present progress reports.
Project managements capabilities and experience in dealing with engineering and medical
personnels.
Ability to multi-task and work under tight timelines
Good analytical and organizational skills
Excellent communication, problem solving, presentation, and interpersonal 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

Job Title : Research Assistant / Research Associate in AI and Machine Learning
Department : Saw Swee Hock School of Public Health

Institution : National University of Singapore

Position Type : Full-time, Fixed-term contract (1 year, with possibility of extension)

Project Overview:
This project aims to develop cutting-edge AI and machine learning technologies to develop advanced treatment agents that offer personalized treatment recommendations. By harnessing large datasets and innovative algorithms, we aim to improve the healthcare decision-making process for clinicians. Our algorithms will focus on effectively identifying individual patient traits, overcoming the challenges presented by sparse and erroneous Electronic Health Records (HER), and developing treatment agents to recommend tailored treatments.

Job Description:
We are seeking a Research Assistant / Research Associate with a strong background in AI and machine learning to join our dynamic team. Successful candidates will closely collaborate with a diverse group of AI and clinical experts, all dedicated to developing innovative clinical decision support systems. This role provides a rare opportunity to be at the forefront of creating innovative AI solutions with a direct effect on healthcare decision-making.

Responsibilities:
•Collaborate with healthcare professionals to understand clinical needs and integrate AI-based solutions effectively.
•Analyze and interpret complex datasets to identify patterns and insights relevant to clinical decision-making.
•Design and implement machine learning algorithms tailored for healthcare applications.
•Participate in other related research activities such as dissemination of findings through publications and presentations.
•Stay abreast of the latest developments in AI, machine learning, and healthcare technology to inform project direction.

Qualifications:
•Bachelor’s or master’s degree in computer science, Data Science, Engineering, Statistics, or a related field with a strong emphasis on AI and machine learning.
•Demonstrated experience in the development and application of machine learning algorithms.
•Advanced programming skills, particularly in Python.
•Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas).
•An understanding of healthcare data and the clinical decision-making process will be considered an asset.
•Experience in AI sub-fields, such as time series forecasting, user modeling and understanding, and reinforcement learning, will be highly valued.
•Strong analytical, problem-solving, and communication abilities.
•Ability to work independently and as part of a multidisciplinary team.

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

How to Apply:
Interested candidates should submit a cover letter detailing their interest and qualifications for the project and a comprehensive CV during job application.

The National University of Singapore is committed to diversity and inclusivity. We encourage qualified candidates from all backgrounds to apply.

Join our Healthcare AI team at the School of Public Health, National University of Singapore, and contribute to cutting-edge research that aims to revolutionize healthcare through AI and machine learning. We look forward to your application.

Research Scientist-BPIS

Major responsibilities as a Research Scientist in IMCB will include hands-on execution of In vitro & in vivo disease model development, validation and experiments to evaluate compounds for efficacy in various animal models of diseases with clinically-relevant endpoints, especially with experience to handle rodents.

Requirements:

• PhD Degree in Biological sciences/ Pharmacology or equivalent.
• 6-8 years of experience of either academic/industrial preclinical research
• Proficiency and hand on experience in cell culture, molecular biology techniques
• Working knowledge and hands on expertise in pre-clinical in vitro/in vivo pharmacolog
• toxicology assays and should possess solid understanding of pathophysiology of various diseases
• Well versed with various techniques of rodent animal handling, drug administration by different routes (IV inj, IP inj, SC Inj, IM inj, oral dosing), anaesthesia, rodent surgical techniques, and euthanasia.
• Familiarity with GLP regulations and ICH/FDA guidelines for the conduct of toxicology studies to support regulatory filings.
• Broad understanding of FDA & ICH guidelines.
• Experienced in scientific data compilation, conduct data interpretation, reporting of study results & conclusions, Statistical analysis, Report writing & archiving.

Competencies:

• Excellent communication, interpersonal and leadership skills.
• Experienced in scientific data compilation, conduct data interpretation, reporting of study results & conclusions, Statistical analysis, Report writing & archiving.
• Good working knowledge in scientific and statistical software (Graph pad prism 4.0).
• Good organizational, prioritizing and follow-up skills.
• Ability to write appropriate and relevant SOP"s and protocols.
• Ability to handle multiple tasks/projects simultaneously.
• Ability to work well under pressure, with minimal supervision, and to interact with a variety of clients.

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

Our team is developing an innovative phased array system for Earth observation missions. We are looking for a researcher in SAR signal generation and signal processing to join the team.

Job responsibilities include:
• Research and development of innovative signal generation modules, e.g. RFSoC and Direct Digital Synthesizers.
• Measurement of the modules.
• Work with other designers on the integration of antenna arrays, microwave modules, and the signal processing modules into a system.
• Participate in the testing of the complete phased array system.
• Present the R&D results in conferences and journal publications.
• Reporting of the designs and measurement results.

Qualifications

• Possess a PhD in Electrical Engineering
• Proven experience through publications in SAR signal generation and SAR signal processing.
• Experience with tools such as MATLAB, VIVADO, and LABVIEW.
• Able to work independently and in a team.
• Open to fixed-term contract.

JOB DESCRIPTION:

• Responsible for day-to-day business data management and regular business report preparations, which includes SAP material master maintenance, data integrity checking and statistics.
• Daily monitoring of basic system health and to flag out any inconsistency in API/System functions when found/reported.
• Daily monitoring of system backend jobs and ensure transactional data are interfacing in healthy state with external/internal system.
• To support Business Analytics, extracting and reorganizing original data, dealing with data related issues with other departments.
• Responsible for data preparation, data mining, to create/identify opportunities through analytics, to optimize business objectives.
• Communicate findings and insights to relevant stakeholders in order to assist Manager in making data-driven decisions in KPI assessments.
• Drive continuous improvements /optimization of campaign performance tracking report with business while complying to A*STAR policies.

REQUIREMENTS:

• Bachelor's Degree or Diploma (with at least 5 years or more relevant experience), preferably Business Analytics, Information systems or Computer Science.
• Strong analytical skills, with experience solving problems using data and providing practical business insights.
• Self-Starter with a strong sense of urgency.
• Aptitude to challenge the status quo, think outside the box, and question what has been done.
• Comfortable with dealing with sets of data points from different sources.
• Qualities of matured thinking, dependable and requires minimum supervision.
• Excellent communication skills (oral and written).

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Postdoctoral fellowship in the Centre for Life Sciences - Neurobiology Program and the Department of Anatomy, Yong Loo Lin School of Medicine. This position is initially funded for 2 years. Appointments will be made on a 1-yr contract basis, with the possibility of an extension.

Purpose of the post

The appointee will be a postdoctoral research fellow who will conduct research in neuroscience with a focus on elucidating the synaptic and circuit mechanisms that mediate memory-guided behaviours. Particularly, they will investigate the role of 5HT3a-R in hippocampal microcircuit function and plasticity.

Main duties and responsibilities

We are looking for an independent, enthusiastic and motivated candidate who will be involved in leading a multi-disciplinary project and is expected to perform survival surgeries, behavioural assays in mice, molecular biology assays and in-vitro electrophysiology experiments.

Qualifications

The applicant should:

1. Have a PhD degree (or expect to graduate in the next 3-4 months)
2. Have a proven track record of research in neuroscience, psychology or a related field
3. Have demonstrated experience in TWO out the THREE research areas (i) cell and molecular biology (ii) rodent behaviour, (iii) in vivo/in vitro electrophysiology
4. Have experience in rodent handling and surgery (desirable)
5. Have experience with gene editing tools including CRISPR-Cas9 techniques (desirable).

Remuneration is commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by

1. CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees), and

2. Cover letter with statement of interest