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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming 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 Purpose
The mission of the Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in the Yvonne Tay team which studies RNA biology in cancers. You may refer to https://csi.nus.edu.sg/researcher/yvonne-tay/ for more information.

Interested applicants should include the following documents in the job application
1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. 3 referees including their name, contact information (email) and relationship to applicant

Duties & Responsibilities
Research:

• Carry out assigned experiments under initial guidance and then independently
• Organize, preserve, and present the results of the experiments in a logical manner
• Record all assigned experiments and results properly and systematically
• Analyse data and design subsequent experimental workflow
• Assist in supervising, training and guiding attachment/undergraduate students as required

Administrative duties:

• Assist with lab housekeeping and administrative duties as needed
• Ensure that standard operating procedures and safety regulations are followed

Qualifications

• Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
• Interest in pursuing a research career in studying RNA biology in cancer
• To be a team player with the ability to work collaboratively with other members of the lab.
• Experience in running projects independently is preferred.
• Experience in laboratory management is preferred but not essential.
• Ability to communicate fluently in written and spoken English
• Knowledge in cell culture and basic molecular biology techniques (western blotting/ RT-PCR etc)
• Proficiency/ expertise in data analysis (R or equivalent)

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

• Daily operational tasks such as subject recruitment, data collection, sample collection, processing and storage.
• Follow up with research subjects for research visits
• Assist PI with research meeting and collaboration
• Assist PI with databases creation and data entry
• Assist PI with ethics application
• To perform other related duties, incidental to the work described herein.

Qualifications

• Bachelor’s Degree in Nursing or relevant
• Excellent writing and communication skills in English
• Highly organized and able to work effectively under pressure, use independent judgement, and produce a quality work product within tight time constraints
• Ability to work in a multidisciplinary team

1. Cover letter highlighting relevant experience and career goals
2. Curriculum Vitae, containing details of three named referees
3. A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

Please note that only shortlisted candidates will be contacted.

Research Assistant ( Biomedical Programming )

The Data Scientist role is to help the team in driving and maintaining a shared platform for clinical and genomic data recording and analysis, as well as biological specimens tracking, for local and regional research projects

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• At least 2 years of work experience in data science

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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 Research Assistant in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Assistant will be responsible to, and work closely with, the Principal Investigator (PI) and his study team to successfully deliver research outcomes in the areas of ageing, stroke and cardiovascular diseases.

Familiarity and experience with molecular, cell biology, staining, advanced microscopy techniques, and computational analytical methods will be considered favorably.

Preference will be given to candidates who are able to analyse omics data and with familiarity with statistical softwares including SPSS or R.

Responsibilities also include the day to day management of laboratory operations such as procurement, preventive maintenance of equipment and laboratory safety.

Qualifications

The applicant should:

1. Have a good degree in life sciences, biomedical sciences, biochemistry, or equivalent from a well-recognized university, with a minimum of 2 years experience.
2. Able to work independently and in a team, and must have good interpersonal and communication skills
3. Possess good organizational skills
4. Have knowledge of common computer applications, e.g. MS office, PowerPoint, Excel, SPSS, “R”, Stata etc

Appointments will be made on a yearly contract basis with the possibility of extension.

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

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming 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

Professor Rachel Zhang and Jean Zeng are seeking a qualified Research Assistant to support data-driven academic projects. Responsibilities include data collection, cleaning, aggregation, advanced econometric analysis, and assisting with research papers and reports. Candidates must have a master’s degree in Economics, Statistics, Data Science, or a related field, with strong coding skills (Python, R, or Stata) and expertise in econometric methods. Prior experience in research, statistical modeling, and data visualization is preferred. To apply, send a cover letter, CV, and a sample of your coding or analysis work.

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

• Robust perception, planning, and control for field robots
• Simultaneous localization and mapping
• Experimental robotics
• Novel mechanism synthesis and analysis
• Electromechanical system design experience is strongly preferred

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability .
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively communicate ideas and take constructive criticism
• Able to effectively work in a multi-disciplinary team and with third-party vendors

The position requires a B.Eng/M.Eng./M.Sc. in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

Job Summary:

• Industry: Healthcare
• Employment type: Part-time (20-22 hours/week), contract for 2 years
• Working location: Jurong West

Job Responsibilities:

• Collaborate and assist in designing and developing a new robust psychometric instrument, or validating an existing one, for measuring multimorbidity.
• Collaborate with study investigators to define key constructs and dimensions of multimorbidity.
• Develop survey items and scales that accurately capture the localised complexities of multimorbidity in a primary healthcare setting, adapting from existing measures and methodologies.
• Perform pilot testing and statistical analyses to evaluate the validity and reliability of the instrument(s).
• Present findings and recommendations to the study team
• Provide training and support to study team members on using the psychometric instrument(s).

Job Requirements:

• Master’s/PhD in social sciences, statistics, or a related field
• Proficient in statistical software (SPSS/R/STATA/NVivo)
• Knowledge of psychometric measurement theories (e.g. ITT/CTT) and research methodologies
• Expertise in quantitative and qualitative data analysis, including advanced statistical techniques.
• Ability to present complex data and findings.
• Experience in healthcare-related research projects is highly desirable.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

Job Description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

The selected candidate will play a key role in a natural products-based drug discovery program, conducting analytical chemistry, bioassays, compound management, molecular and cell biology, and biochemistry laboratory experiments under the supervision of the Principal Investigator or his/her designate, including but not limited to the following:

• Support all aspects of the research project.
• Conduct extractions and fractionation of natural products.
• Execute cancer and other mammalian cell culture assays.
• Carry out antibacterial and antifungal assays and assist with microscopy imaging of cells.
• Perform molecular and phenotypic analyses to understand mechanism of action.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Assist with general upkeep of laboratory needs, procurement of reagents, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described therein.

Job Requirements

• Bachelor’s or Master’s Degree in Analytical Chemistry, Chemical Biology, Pharmacology, or other related fields. Candidates with higher credentials may be considered for the Research Assistant (Senior) position.
• Familiar with organic and analytical chemistry techniques, including chromatography and HPLC.
• Demonstrated knowledge and possesses experience in cell and molecular biology techniques such as cell culture, western blot, RNA and DNA isolation, and RT-qPCR.
• Strong interpersonal communication skills with excellent written, and computer skills.
• Well-organised and excellent record keeping skills are a must.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

Coordinator

• Perform screening activities according to protocol eligibility criteria and assist in recruitment.
• Assist investigator in explaining study objectives and procedures to potential participants.
• Verify eligibility of participants before recruitment.
• Assist to obtain written consent from each study participant prior to participation in the study.
• Schedule study visits and ensure visit schedules are adhered to.
• Create source documents and any other research documents required for the successful conduct of a clinical research study or trial.
• Manage data collection in an accurate and timely manner.
• Monitor and report all adverse/ unanticipated events, abnormal results, and protocol deviations or non-compliance.
• Manage budget.
• Assist PI in preparation of study-related presentations/materials.
• Participate in the evaluation of research results where required.

Assistant

• Conduct literature search and write up of research findings.
• Perform data collation, data cleaning, data analysis.
• Develop publication and communication plans, posters and slides for presentations as well as drafting abstracts and manuscripts for publication.

Requirement

• Bachelor's Degree in Psychology / Life Science / Public Health / Nursing or equivalent

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

JobStudio Pte Ltd

EA License No: 10C4754

EA Personnel: Pearly Poh

EA Personnel Reg No: R2089904

Job Description

The laboratory of Dr. Tang Hong-Wen within the Signature Research Programme in Cancer and Stem Cell Biology (CSCB) at Duke-NUS is recruiting a Research Assistant with strong enthusiasm and interest in muscles and muscle stem cells. The Tang lab’s scientific focus is to understand how muscle functions get impaired during aging and tumorigenesis. Dr Tang’s laboratory uses unique cross-species and interdisciplinary approach incorporating Drosophila genetics, biochemistry, cell biology, and mouse models, to identify new evolutionary conserved mechanisms underlying human muscle diseases and provide new therapeutic strategies targeting muscle wasting and mitigating the effects of aging.

The selected candidate will perform a variety of functions related to research under the supervision of the Principal Investigator or his/her designate: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and research findings.
• Evaluate and interpret collected data and prepare oral presentations or written reports/ scientific manuscripts/literature for publication and analyses setting forth progress, adverse trends and appropriate recommendations or conclusions.
• Contribute to some project management, provision of guidance to undergraduate/medical students.
• Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s Degree in Sciences / Life Sciences.
• Demonstrated basic knowledge, skills and expertise in supporting various research activities.
• Knowledge of the scientific background relevant to the research area.
• Laboratory experimental skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

The Cardiovascular and Metabolic Disorders (CVMD) Programme houses state-of-the-art technologies for profiling mitochondrial function and metabolic adaptations in human patients and other model organisms, and undertakes translational and clinical research in cardiovascular and metabolic disorders.

Prof Derek Hausenloy’s laboratory aims to discover new treatments for protecting the heart from acute ischaemia/reperfusion injury and for preventing heart failure. We use a translational approach to research comprising cell models, rodent models (atherosclerosis, acute myocardial infarction and heart failure), nanoparticles for delivery of therapeutics to the ischaemic heart, and clinical studies.

The selected candidate will perform a variety of functions related to research under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Evaluate and interpret collected data and prepare oral presentations or written reports/ scientific manuscripts/literature for publication and analyses setting forth progress, adverse trends and appropriate recommendations or conclusions.
• Assist researchers in contributing to some aspects of the project management, occasional laboratory demonstrations and in providing guidance to undergraduate/medical students.
• Establish work procedures to maintain high efficiency and productivity of the laboratory. Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor / Master’s Degree in Sciences/Life Sciences with at least 2 years of relevant work experience in the design and conduct of experimental projects.
• Demonstrated good knowledge, skills and expertise in supporting various research activities including molecular biology, cellular assay, ELISA, and histology.
• Knowledge of the scientific background relevant to the research area.
• Laboratory experimental skills.
• Experience with cardiovascular research and animal work (rodents) preferred.
• A strong team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.
• RCULA certification will be an advantage.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant is needed to provide technical, research, and administrative support for ongoing projects in our flexible electronics laboratory.

Responsibilities:

• Conduct experiments under the general guidance of the Principal Investigator (PI) and senior researchers; monitor, document, and report experimental results and research findings.
• Collect, manage, and analyze data; assist in preparing reports and research summaries.
• Contribute to the preparation of scientific manuscripts and other publications.
• Support project management activities and provide guidance to master and undergraduate students.
• Coordinate with vendors for the operation, maintenance, and servicing of laboratory equipment and facilities.
• Assist with the procurement of consumables and new equipment, working with the department, CPO, and Finance teams on purchasing and payment processes.
• Work closely with the PI and lab members on research-related tasks, assisting in the smooth functioning of the laboratory and research group.
• Perform ad-hoc duties as assigned by the PI.

Qualifications

• At least 1 year of relevant experience in a research or laboratory setting (preferred).
• Proficiency in laboratory safety protocols and adherence to best practices in a research environment.
• Willingness to work on a fixed-term contract.
• Strong ability to work independently and as part of a collaborative team.
• Excellent communication skills, both written and verbal, in English.
• Demonstrated leadership or supervisory experience in a research or team-based setting.
• A Bachelor's degree or higher in a relevant field such as Electrical Engineering, Biomedical Engineering, Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Chemistry, Physics, or a related field.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

Innovative Electronic & Electromagnetic Devices Laboratory (i-Lab) at Nanyang Technological University (NTU) is looking for a Research Assistant to conduct research in the field of microelectronics. The role will focus on design, simulation, and experimental characterization of novel micro-electro-mechanical devices.

Key Responsibilities:

• Theoretical investigations on new microelectronic components.
• Design and Multiphysics simulation of microelectromechanical radiofrequency components.
• Experimental characterization of microelectronic components.
• Providing general research support to i-Lab.

Job Requirements:

• Minimum Bachelor’s degree in Electrical Engineering or related field.
• Expertise in simulating microelectronic components, complemented by advanced analytical skills.
• Good written and oral communication skills.
• Good team working skills.
• Entry level candidates are welcome to apply.

We regret to inform that only shortlisted candidates will be notified.

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.