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.

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.

The Enrolled Nurse is responsible for providing basic nursing care and patient education under the supervision and direction of a registered nurse, in collaboration with the healthcare teams according to the established policies, procedures and guidelines. He/She attends relevant nursing trainings to ensure that his/her skills remain up-to-date to provide patients with quality nursing care. He/She provides coaching for newly joined enrolled nurses, students and support care staff.

- Carry out individualised planned nursing interventions for the residents

- Support transitional care plans

- Assist in procedures and treatments

- Adhere to infection control and prevention practices in resident care activities

- Teach residents, caregivers and family members proper techniques in self-care

- Provide feedback on risk assessment and quality management activities

- Support supervision of support care staff and enrolled nurse trainees in performing basic nursing care activities

- Perform health assessment of residents' condition

- Monitor residents for early signs and/or deterioration of residents' condition using appropriate assessments and observations

- Familiar with the use of Nursing Home IT Enablement Program (NHELP) process

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

Job description
The candidate will be part of a team developing research projects on textual analysis and data mining. The responsibilities include but are not limited to:

• Research, develop and evaluate textual analysis algorithms and implementations
• Work with team members to develop end-to-end solutions leveraging on textual analysis and data mining for various applications domains, such as healthcare, aerospace, built environment and fintech
• Brainstorming technical solutions to address relevant industry problem statements
• Assist project leads in the execution and completion of tasks to required standards

Job requirements

• Master or Bachelor degree in STEM or AI/ML related fields
• AI/ML experience in industry and/or academia is highly sought
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in open-source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Stanford CoreNLP will be a differential
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

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 a Postdoctoral Research Fellow on Virology, Immunology or Antibody Engineering in the Infectious Diseases Translational Research Programme (ID TRP) and the Department of Biochemistry, NUS Yong Loo Lin School of Medicine. ID TRP and Biochemistry are pooling efforts of prominent scientists from multiple disciplines and committed to human infectious diseases closely relevant to Singapore and the region. Our projects are carried out in close collaboration with Immunology TRP, Synthetic Biology TRP and National University Hospital.

Appointments will be offered on a two-year contract basis, with the potential for extension. Onboarding is anticipated to occur prior to 2025. The group leader will supportively provide customised trainings and grant opportunities for early career researchers.

Purpose of the post

Working in the group of Assistant Professor Qu Kun at the ID TRP and the Department of Biochemistry (https://medicine.nus.edu.sg/bch/faculty/qu-kun/), the Research Fellow will conduct a project aimed at understanding the immune response of respiratory viruses. The Qu lab is funded by the Presidential Young Professorship start-up award, National Medical Research Council Young Individual Research Grant, and Ministry of Education Academic Research Funds. We decipher dynamic and elusive viral infection mechanisms using cryo-electron microscopy, tomography and subtomogram averaging. In 2024, the latest Titan Krios G4 TEM and Arctis cryo-plasma focused ion beam milling SEM are scheduled for installation at the NUS Centre for BioImaging Sciences (CBIS), which will offer us formidable advantages to conduct highly automatic structural studies inside the cell.

Main Duties and Responsibilities

The Research Fellow is expected to:

• Carry out scientific research aimed at understanding the dynamics of host-pathogen interactions.
• Introduce and apply a wide range of techniques in molecular biology and immunology to study innate and adaptive immune responses.
• Present scientific work at internal meetings and external conferences.
• Draft scientific manuscripts and prepare high-quality images for publication.
• Contribute to scientific discussions and assist with other duties in the lab.
• Interact and collaborate with other members within the research team, across the programme, and from external groups.
• Maintain high standard of professional conduct and record keeping in accordance with scientific integrity, biosafety policies, and procedures.
• Report to and discuss with the PI to ensure the project is performed in accordance with good practice.

Qualifications

The applicant must or should:

• Behave with scientific integrity and honesty.
• Hold a Ph.D. in Biochemistry, Molecular Biology, Immunology, or related disciplines.
• Have excellent expertise in human B cell isolation, expansion, and analysis.
• Have hands-on experience with multiple molecular biology techniques, including antibody screening and purification.
• Be able to work independently and be passionate about science.
• Be able to communicate and work with others in an open manner.

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

As the primary contact for patients, the Registered Staff Nurse manages the treatment and recovery of patients by administering preventive, curative and rehabilitative care.

• Provide nursing services requiring substantial and specialised nursing skills.
• Work closely with the Resident Doctor and multi-disciplinary team to provide care to the residents
• Update changes in the residents' condition and needs
• Evaluate residents response to care interventions and recommend revision of care as necessary
• Work with allied health professionals and / or initiate preventive and rehabilitative nursing procedures
• Carry out and supervise assessment of all new admissions
• Prepare clinical documentation and ensure all documents are up-to-date
• Administer medication to the residents and comply with safe medication practices
• Work with Supervisor to conduct quality assurance activities to monitor and evaluate the quality and appropriateness of nursing care
• Work with staff to maintain a safe and clean environment in the nursing home
• Familiar with the use of Nursing Home IT Enablement Program (NHELP) process
• Any other ad-hoc duty assigned by your supervisor / Head of Department

Nursing Diploma and Degree graduates who are registered with the Singapore Nursing Board (SNB) may work as a Staff Nurse.

Responsibilities:

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

Requirements:

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

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

JOB DESCRIPTION

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

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

JOB REQUIREMENT

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

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

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The laboratory of Antimicrobial Resistance and Drug Development in A*STAR ID Labs is looking for a highly self-motivated individual to join us as a Research Officer. We are presently developing a programme on applied phage biology and are looking for a suitable candidate with experience in microbiology.

Key Responsibilities:

• Basic bacterial culture and handling
• Some knowledge on bacteriophage biology
• Design and conduct experiments including data collection and analysis.
• Summarize and present the data in lab meetings.
• Develop new research techniques and approaches.
• Collaborative spirit with internal and external collaborators
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures.

Job Requirements

• Bachelor Degree in Life Sciences/ Biomedical Sciences, Microbiology, Molecular Biology or related field
• 2-3 years' experience or applicants with relevant academic experience are welcome to apply.
• Highly motivated and able to work independently.
• Adaptable to working with different organisms.
• Team player with good interpersonal skills.
• Good spoken and written communication skills
• Willing to learn and feel comfortable working with various bacteria.
• Highly adaptable at working with different techniques and bacterial species.

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The project is an oral language proficiency evaluation on primary students. Specifically, the project is to provide an automatic interface to help primary students practice and improve in their mother tongue learning.

The primary responsibility of this role is to contribute to the delivery of an interactive multilingual language learning system. The role will be part of the research and development team to implement an automatic visual dialogue engine based on image understanding that complements the speech evaluation application to promote mother tongue learning for students.

Candidates should have work experience in computer vision, image understanding, object segmentation , and a good knowledge of general machine learning, especially neural networks. Candidates with work experience in computer vision applications including visual question and answer generation will be advantageous, however training will be provided.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Help in data collection.
  2. Data preprocessing.
  3. Object Segmentation
  4. Image to text
  5. Text Summarization
  6. Question and Answering Tasks
  7. Machine learning model deployment
• Training will be provided.

Job Requirements:

• Good command of programming in any programming languages.
• Degree in EE, CS or related areas, preferably with good knowledge in computer vision
• Good understanding and application experience of machine learning algorithms
• Familiar with image understanding and object segmentation under the end-to-end framework will be advantageous.
• Familiar with one or more of the open-source tools such as Kaldi, Tensorflow, Pytorch will be advantageous.
• Experience in image processing, opencv, multimodel large language models, image to text models, speech processing and natural language processing or other related algorithms will be 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

You will work as an integral part of the laboratory operations team, providing support to the laboratory manager in operations and related laboratory duties such as core equipment training, procurement and safety matters. If you thrive in a dynamic environment and have a passion for managing laboratory operations and contributing to scientific advancements, this role could be an exciting fit for you.

Key Responsibilities

• Oversee the daily operations of the laboratory, ensuring that all processes and procedures are followed accurately and efficiently
• Facilitate training and development of laboratory users
• Support the operations team on laboratory safety and documentation
• Ensure compliance with all relevant regulations and safety standards to maintain a safe working environment
• Manage the laboratory procurement of equipment and supplies, including negotiating contracts with vendors and suppliers
• Implement and oversee maintenance schedules for laboratory equipment to ensure optimal performance and longevity
• Maintain the microfabrication cleanroom in a functional state
• Stay abreast of technological advancements to enhance operational effectiveness.
• Other ad-hoc duties

Qualifications

• Bachelor’s or Master’s Degree in Engineering or related field from a reputable university

Requirements

• Working experience in a research/laboratory environment and familiarity with research operations are preferred
• Working experience in rapid prototyping, CAD or cleanroom microfabrication is preferred, but not necessary
• Understanding of safety regulations and compliance
• Ability to work cooperatively and communicate effectively with team members and researchers
• Passionate in mastering research equipment and passing on knowledge to user

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 designer of microwave modules to join the team.

Job responsibilities include:

• Design of microwave transmit/receive modules, including power amplifiers, switches, low noise amplifiers, and mixers.
• 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 the design and measurement of microwave modules, including power amplifiers, mixers, and low noise amplifiers.
• Experience with design software such as ADS.
• Able to work independently and in a team.
• 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

To investigate, through modeling and measurement, the impact of ionospheric effects on Synthetic Aperture Radar (SAR) satellite images.

Scope of work.

• Sourcing and installation of equipment to measure ionospheric effects.
• Working with SAR image providers on the tasking of SAR satellites and procurement of SAR images.
• Preparing for field trials, including the design and installation of dedicated scatterers, such as corner reflectors.
• Recording and processing of measured data.
• Collaborate with researchers from SONDRA (CentraleSupelec ONERA NUS DSO Research Alliance), which may include research stints at SONDRA in France
• Present the results at international conferences.

Qualifications

• Possess at least a PhD degree in Electrical Engineering.
• Has Hands-on experience with equipment, preferably with radio equipment, GNSS receivers, and software defined radio (SDR).
• Experience with software tools such as MATLAB.
• Positive attitude – Able to work independently and in a team.
• Meticulous, able to work well with other researchers, and commitment to meeting deadlines
• Open to fixed-term contract