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.

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.

Role and Responsibilities

• To carry out in vitro or in vivo research on tocotrienols/phytonutrients/oleochemicals for various human health applications;
• To conduct human clinical trials in collaboration with Key Opinion Leaders (KOLs);
• Publish scientific manuscripts in international journals;
• Work closely with fellow researchers in the R&D for effective project implementation;
• Make presentation on projects within and outside the company;
• Perform routine maintenance of laboratory equipment;
• Perform inventory update for laboratory consumables and trial materials;
• Perform general maintenance of the lab facilities;
• To build up in-house database of research results of tocotrienols and other necessary products;
• Any other tasks/projects as assigned to you by the Head of Biological Research from time to time.

Job Success Requirements

• Master or Ph.D. in Biology/Biological Sciences/Biomedical Sciences or equivalents with at least 3 to 5 years working experience
• Have extensive bench work experience in biological research in mammalian cell culture, genomic & proteomic analysis. The lab techniques require including qPCR, cDNA microarray, western blotting, ELISA assay, flow cytometry, fluorescence imaging;
• Preferably the candidate has knowledge and prior experience in clinical trial management and coordination;
• Proven publication record in international scientific peer-reviewed journals;
• Excellent problem-solving skills and uses data to generate ideas and develop solutions;
• Have thorough understanding & fundamental concepts in biology and pharmacology for experimental troubleshooting & optimization;
• Be highly motivate, independent and present strong interest in a fast-paced environment;
• Competent in Microsoft Office, bibliography software (Endnote or Mendeley), GraphPad Prism, SPSS or other analytical tools.
• Proficient in both spoken and written English

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.

Assistant/Associate Professor

DEPARTMENT OF COMPUTER SCIENCE

Location: 510 Dover Road, Singapore

Description: Full-time Assistant Professor in Department of Computer Science, DigiPen Institute of Technology Singapore. We expect to make an appointment at the Assistant Professor Level or higher, commensurate with the candidate’s academic credentials and prior experience.

Responsibilities:

• While teaching some combination of the above subjects as determined by the selected candidate's unique synthesis of interests, he/she is also expected to teach general computer science subjects (such as operating systems, data structures, design and analysis of algorithms) at the university level. Other responsibilities include academic advising, undergraduate research advising, curriculum development, institutional service and appropriate scholarly activity.

Education and Experience Qualifications:

• PhD degree in Computer Science, Computer Engineering, or a closely related field.
• At least 4 years of industry or research experience in the field of study or a closely related area.
• Strong background in one or more following areas: C/C++ programming, Computer Graphics, Computer Architectures, Parallel Processing, Computer Networks, VR/AR, Computer Vision, Data Analysis, Distributed Computation, Cyber Security.
• Work/Teaching experience or exposure to one or more following areas: game/interactive-simulation, AI, machine learning, computer vision, data science, image processing, etc.
• 2D/3D graphic programming (OpenGL or DirectX) is an added advantage.
• A commitment to teaching excellence and scholarship is also expected.

Starting Date: Immediate

Salary: Salary is competitive and commensurate with experience and education.

Application: Review of applications will begin immediately and continue until the position is filled. For a complete application, please email a letter of interest, curriculum vitae, and statement of teaching philosophy, transcript of highest degree earned, and three letters of recommendation.

Electronic submission is required with documents in either Word or PDF format attached to an email and sent to:

Email: [email protected] with subject line “Full-time Faculty of Computer Science”.

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

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation 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
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
• At least 4 relevant years of experience
• 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

We are looking for a highly motivated and passionate post-doctoral research fellow to work on a funded research project that looks at the use of radiant systems in the tropics. Specifically, we will be optimizing the operation of radiant cooling panels with a dedicated outdoor air system. The study also aims to benchmark radiant cooling panels against other existing cooling solutions in Singapore.

• Perform measurement and verification of different operating modes of a radiant-based energy system installed in Singapore, and benchmark it against other common HVAC systems.
• Develop a predictive model of radiant system installed in Singapore.
• Develop an active data acquisition framework that identifies the most informative data for improving the model’s prediction.
• Organize, analyze and publish research in peer-reviewed scientific journals.
• Perform other duties as assigned.

Job Requirements

• PhD in Building/Mechanical Engineering with a focus on building performance and energy efficiency
• More than 4 years work experience in academia and more than 3 years work experience in industry working with HVAC and building automation systems
• Proficiency (with a demonstrated track record) in energy simulation software EnergyPlus and/or Modelica
• Proficiency (with a demonstrated track record) in working with building automation systems
• Proficiency in programming languages Python and/or R

Role and Responsibilities

• To carry out in vitro research on tocotrienols/phytonutrients/oleochemicals for various human health applications;
• To conduct human clinical trials with institutions;
• Publish scientific manuscripts in international journals;
• Work closely with fellow researchers in the R&D for effective project implementation;
• Make presentation on projects within and outside the company;
• Perform routine maintenance of laboratory equipment;
• Perform inventory update for laboratory consumables and trial materials;
• Perform general maintenance of the lab facilities;
• To build up in-house database of research results of tocotrienols and other necessary products;
• Any other tasks/projects as assigned to you by the Head of Biological Research from time to time.

Job Success Requirements

• B.Sc or Master in Biology/Biological Sciences/Biomedical Sciences or equivalents with at least 3 to 5 years working experience
• Have extensive bench work experience in biological research in mammalian cell culture, genomic & proteomic analysis. The lab techniques require including qPCR, cDNA microarray, western blotting, ELISA assay, flow cytometry, fluorescence imaging;
• Preferably the candidate has knowledge and prior experience in clinical trial management and coordination;
• Proven publication record in international scientific peer-reviewed journals;
• Excellent problem-solving skills and uses data to generate ideas and develop solutions;
• Have thorough understanding & fundamental concepts in biology and pharmacology for experimental troubleshooting & optimization;
• Be highly motivate, independent and present strong interest in a fast-paced environment;
• Competent in Microsoft Office, bibliography software (Endnote or Mendeley), GraphPad Prism, SPSS or other analytical tools.
• Proficient in both spoken and written English

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Natural Language Processing Group at the National University of Singapore invites applications for Research Fellow in the Department of Computer Science, School of Computing, to work on large language models, with application to text summarization.

The initial appointment is for a period of one year, with possible extension subject to research funding availability.

Qualifications

The candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, deep learning, or related areas. Strong programming skills and good command of English (both spoken and written) are also required.

Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of 3 referees.