**For January 2025 intake**

Teachers needed:

• Secondary Science

**Full Time: $2600-3200 per month (commensurate with experience)**

**Part Time: $35 to $40 per hour (commensurate with experience)**

Working hours:

Full Time: Mon-Fri 8.30am to 5.30pm

Part Time: Mon-Fri between 9am to 4.30pm

Location: Central West

Responsibilities:

• Prepare and conduct lessons according to the course syllabus and scheme of work

• Provide necessary supervision to the students and report students’ discipline issues to the Student Affairs staff

• Schedule and prepare examination papers and assignments

• Monitor the performance and progress of each student, including academic counselling

• Give feedback to Management about the continual improvement of the class performance

• Mark and grade all course work, assignments and examination papers

• Give feedback to Management on the course proceedings at the end of semester/course/modules

• Participate in programme review meetings

Requirements:

• Minimum a Diploma

• At least 1 year of relevant experience

HOW TO APPLY:

Please send in your resume to: recruit @ dismanpower.com.sg & indicate in the subject as "Secondary Science Teacher (Full Time or Part Time, Central West)"

We regret that only shortlisted candidates will be notified.

DIS Manpower Pte Ltd

EA License No.: 08C3226

EA Personnel: Sng Wei Lin

EA Reg No.: R1101806

Job Description

This is a full-time on-site role for a Research and Development Manager at Coval Technologies in Singapore. The Research and Development Manager will be responsible for leading R&D projects, managing research teams, and overseeing project execution. They will provide team leadership and contribute to the development of innovative nano coating technologies.

Qualifications

• A minimum of 10 years' experience with track record in formulating / developing new coating products with commercial release.
• Experience working with solvent-based paint chemistry
• Leadership abilities
• Experience in paint additive chemistry
• Project Management expertise
• Experience in industrial coating performance standards such as ISO, ASTM., etc.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to drive innovation and creativity in a team setting
• Experience in nanotechnology or surface coatings is a plus
• Advanced degree in Chemistry, Materials Science, or related field preferred

Relief teacher for 2 months (Jan to Feb 2025)

Teachers needed:

• Primary Science / STEM

**Full Time: $2600-3200 per month (commensurate with experience)**

**Part Time: $25 to $35 per hour (commensurate with experience)**

Working hours:

Full Time: Mon-Fri 8.30am to 5.30pm

Part Time: Mon-Fri between 9am to 3.30pm

Location: West (Bukit Timah, Bukit Batok)

Responsibilities:

• Prepare and conduct lessons according to the course syllabus and scheme of work

• Provide necessary supervision to the students and report students’ discipline issues to the Student Affairs staff

• Schedule and prepare examination papers and assignments

• Monitor the performance and progress of each student, including academic counselling

• Give feedback to Management about the continual improvement of the class performance

• Mark and grade all course work, assignments and examination papers

• Give feedback to Management on the course proceedings at the end of semester/course/modules

• Participate in programme review meetings

Requirements:

• Minimum a Diploma

• At least 1 year of relevant experience

HOW TO APPLY:

Please send in your resume to: recruit @ dismanpower.com.sg & indicate in the subject as "Primary Science/STEM Teacher (2 months relief) (Full Time or Part Time, West)"

We regret that only shortlisted candidates will be notified.

DIS Manpower Pte Ltd

EA License No.: 08C3226

EA Personnel: Sng Wei Lin

EA Reg No.: R1101806

Desktop Support Engineer (Band 1)

Working Location: Tuas / Jurong / Changi (Client Site)
Working Days : 5 Days ( Mon- Fri)
Working Hours: 8am-5pm
Salary Range: $2,600 - $2,800

Job Description

• Desktop Technician will provide day to day local\remote desktop support, receive inbound calls, answer questions, troubleshoot and document steps performed to resolve challenges with hardware, software and application issues in a ticketing system.
• Facilitate customer resolution for calls and engage their supervisors and managers to ensure operational consistency across all shifts within the IT Support Center.
• Desktop Support Engineer provides Break Fix, fault diagnosis and resolution.
• Providing fault analysis to customer’s various core operating systems and platforms, as well be able to provide support and apply desktop fault resolution for the approved application suite.

Position Responsibilities and Functions

• Provide first/second level contact and problem resolution for customer issues.
• Work with Third Party Vendors to remediate complex AV issues as needed.
• Provide timely communication on issue status and resolution.
• Maintain ticket updates for all reported incidents.
• Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application.
• Should have basic knowledge of Mac operating system, to support Apple pc users.
• Install, upgrade, support and troubleshoot for printers, computer hardware.
• Performs general preventative maintenance tasks on computers, laptops, printers.
• Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment.
• Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software.
• Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms.
• This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned.

Qualifications and Skills

• Bachelor Degree or equivalent in Computer Science or related field.
• CompTIA A+, Microsoft Certified Professional (MCP) or better.
• 1-2 years’ experience in Windows Desktop support.
• Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems.
• Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory.
• Proven analytical, troubleshooting and problem solving skills.
• Willing to work off-hours and weekends when required for projects or emergency support.

In addition the Band 1 Technician will mentor and assist Band 0 technicians in their work and provide support to Band 2 Technicians in resolving tickets.

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Position: Audit Associate

Working Days: 5 days / 5.5 days(Saturday half day during peak period)
Working Hours: 0830am - 1730pm
Salary: Up to $3500
Location: Beach Road

Duties

• Undertakes specific stages of audit work under supervision.
• Appreciate the underlying principles behind the tasks assigned as part of the audit plan.
• Able to make adjustments to the application of skills to improve the work tasks or solve non-complex issues.
• Able to build relationships, work in a team and identify ethical issues with reference to the code of professional conduct and ethics.
• Select and apply from a range of known solutions to familiar problems and takes responsibility for own learning and performance.
• Work with any of the assurance teams to obtain an understanding of our client’s business.
• Develop an audit plan/strategy for an audit of financial statements and document the planning procedures.
• Prepare/tailor audit programmes based on areas of audit emphasis determined at the planning stage.
• Perform audit tests of controls and substantive procedures based on planned audit approach to address the various assertions, eg: existence & completeness, rights and obligations, valuation, accuracy, presentation and disclosure.

Requirements

• Bachelor's Degree or equivalent
• 1-2 year of working experience as audit associate.

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

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

Join our physician-led cutting-edge metabolomics lab as a Bioinformatics Expert and help us make an impact in the world of precision medicine.

We are a dynamic research lab at the forefront of metabolomics, dedicated to advancing knowledge in metabolic pathways, biomarker discovery, and personalized healthcare. Our interdisciplinary team collaborates with both Singapore based and global institutions. We offer opportunity to work on innovative projects with a collaborative team and a patient-centric focus with access to state-of-the-art facilities and resources.

Main Duties and Responsibilities

Key Responsibilities:

• Develop and implement data extract, transform, and load (ETL) pipelines for metabolomics data (mainly LC-MS/MS based metabolomics).
• Perform data integration from multi-omics platforms (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning techniques (preferably explainable models) for biomarker discovery in large clinical dataset.
• Maintain and update databases and in-house analytical tools for metabolite identification and pathway analysis.
• Lead or significantly contribute to successful collaboration in clinical cohort research.
• Derive clinically actionable insights from data patterns.
• Collaborate with biologists, chemists, and clinicians to interpret results and publish findings.

Admin:

• Assist the professor in writing grants & manuscripts for higher impact journals.
• Assist with ethics submissions.
• Attend meetings with the primary investigator and team members.
• Liaise with multi-national collaborators for commercialization and validation of our discoveries.

Qualifications

The applicant Must:

• Ph.D. or Master’s in Bioinformatics, Computational Biology, or related field.
• Proficiency in R, Python, and/or bioinformatics tools for metabolomics.
• Ability to build custom applets/scripts for data analysis.
• Ability to thoroughly explore large data sets (up to ~PB scale), derive hypotheses, and adjust analysis dynamically.
• Experience in database query (e.g. KEGG, Ensemble, HMDB, wikipathway).
• Awareness of data standards for clinical research and statistical analysis (e.g. EQUATOR Network)
• Strong analytical and communication skills.
• Experience in and/or knowledge of medical data, clinical processes or trials
• Experience in constructing clinical risk prediction models for biomarker research will be a plus.
• Experience in translating conceptual algorithms to implementable code will be a plus.
• At least 2 years of relevant research experience and prior publications will be preferred.

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

The Research Fellow will work to develop secure, isolated hardware platforms (for small, IoT-style systems) while maintaining efficiency and performance. This is done through the development of novel designs that enable isolation and security, even in the presence of shared hardware resources. He/she should possess experience or interest in at least one of the following research areas:

• Hardware and Systems Security
• Computer Architecture
• Energy Efficient SoC Design
• Simulation Methodologies (Cycle-level Microarchitecture Simulation)

Qualifications

• A PhD degree in a relevant area
• Good publication record
• Experience in research

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 Associate in the Department of Computer Science, School of Computing (SoC). 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 largescale experimental systems and improving the wellbeing 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 Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• 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

The National University of Singapore invites applications for a Research Fellow in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator (PI) and study team members to successfully deliver research outcomes pursued in several nationally funded projects:

Ischaemic stroke and cardiovascular diseases, focused on biomarker discovery and validation using preclinical vascular and animal models. A key focus of the work is to understand the reasons why strokes occur and how to identify high-risk individuals for more intensive interventions. This work leverages on a well-phenotyped repository of samples from stroke patients who have been meticulously characterized by whole-exome sequencing, RNA-seq and proteomics and outcomes collected in patients who were followed for more than 10 years.

Qualifications

The applicant should:

1. Have a good PhD degree in life sciences, biomedical sciences, biochemistry or bioengineering from a well-recognized university.
2. Experience with immunohistochemistry, molecular biology, microscopy techniques and computational analytical methods will be considered favorably.
3. Able to work independently and in a team, and must have good interpersonal and communication skills.
4. Possess good organizational skills for project planning, data analysis, manuscript preparation and grant applications.
5. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares.

Appointments will be made on a yearly contract basis with a good likelihood 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 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

The Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint an exceptional candidate to the position of Postdoctoral Research Fellow to work on a major new project “Multifunctional and Adaptive Green-Grey Shorelines (MAGGShore)”. This interdisciplinary research aims to test strategies to enhance the ecological functioning of artificial shorelines.

The main responsibilities of the position include:

• Examine ecological processes on seawalls at multiple scales
• Identify suitable species and protocols for transplantation
• Develop and test new enhancement unit designs
• Coordinate with sister sub-projects
• Prepare research manuscripts, reports and presentations
• Mentor graduate and undergraduate students

Applicants should have completed a PhD in marine biology or ecology.They should have a history of publications consummate with their career stage. Research skills including leadership, excellent statistical and analytical skills, outstanding writing abilities, and the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with experience in hard intertidal systems, ecological engineering, and nature-based solutions will be given priority.

Qualifications

PhD in Marine Biology or Ecology

Skills:

• Experimental design and analysis (including expertise in R)
• Strong written and interpersonal communication skills
• Excellent time and resource management
• Certified and experienced scuba divers would be preferred

Experience:

• Ability to conduct experimental work in field, lab, and aquaria
• Experience working with intertidal invertebrates
• Familiarity with nature-based solutions/ecological engineering
• Publication record consummate with career stage

Working Days & Hours: 5 days across Monday – Sunday, Up to 44 hours per week. (11am - 8pm/ 12pm - 9pm)
Location: Newton/ Chinatown

Contract: yearly renewable based on business needs and individual performance

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Excellent customer service skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job...

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Assist in administrative work to support the project
• Carry out intertidal and subtidal biodiversity surveys
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Qualifications

Applicants should have completed a Masters degree or equivalent in biology, marine biology, ecology, geography, environmental studies, or other similar discipline. We may also consider applicants with Segrees in Engineering, Architecture, or Landscape Design. The candidates should have a strong passion for marine-related research. Research skills including species identification, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Hold a bachelor’s and/or master’s degree in biology, marine biology, ecology, geography, environmental studies, or other similar discipline. We may also consider applicants with degrees in engineering, architecture, or landscape design.

Skills

• Experimental design and analysis (including expertise in R)
• Strong taxonomic and identification abilities
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience

• At least three years’ experience in a related field
• Ability to conduct experimental work in field, lab, and aquaria
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would be preferred

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor John S. Ascher on environmental modeling of mosquito vectors and stinging wasps and bees and other insects of importance for public and environmental health under the CNRS@CREATE, SPACE project.

The main responsibilities of the position include:

Working with the appointment PI to validate as fit for use an existing specimen and community science dataset of insects of importance for public and environmental health, especially mosquitoes and stinging wasps. The appointee will then conduct species distribution modeling based on an existing pipeline already established for bee research and documented in a publication. The candidate will start with highest priority mosquito species such as Aedes albopictus and other well known species of public health importance will move on to other species as time allows.

Qualifications

MSc or equivalent level qualification in Biological Sciences required.

Skills:

The candidate must be familiar with environmental modelling and SDMs using software such as R and MaxEnt. Preferably this includes ability to address spatial biases.

Experience:

Experience with entomology, specimen and other databases, and coding in R for environmental modelling desirable.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/she will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

• The research fellow should have a PhD degree in a relevant field, with experience in the following areas:

- 3D concrete printing;

- Laboratory ballistic tests;

- Design of blast tests for concrete specimens;

- FE simulations of blast loading on concrete structures.

• Strong written and spoken communications and able to present results.
• 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

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.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

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

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

We are seeking a highly skilled individual to develop high-performance computational codes that simulate the quantum dynamics of optomechanical systems, particularly levitation-based quantum sensors. You will collaborate closely with cutting-edge experimental teams, contribute to pioneering GitHub-based codebases, and apply advanced AI techniques to optimize complex quantum experiments.

This role offers an exciting opportunity to contribute to various in-house and open-source quantum software packages under development for quantum computing and quantum information science. Additionally, you will have the chance to work alongside leading quantum industry players, accelerating the translation of groundbreaking research into real-world applications.

Qualifications:

• Ph.D. in Physics, Quantum Information Science, or a related field.
• At least 5 years of relevant experience
• Strong numerical and programming skills for developing high-performance simulation codes.
• A deep understanding of optomechanical-based quantum sensors. An understanding of levitation-based systems is a plus.
• Proven experience collaborating with experimental teams.
• Knowledge of quantum information science and quantum computation.
• Proficiency with GitHub and contributing to code repositories.
• Familiarity with advanced AI techniques for experiment optimization.
• Experienced with Python, C/C++, Rust, etc.
• Experience in using HPC to accelerate numerical simulation is a plus.

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.

We are looking for a motivated bioinformatics specialist who is keen on studying how microbes contribute to common skin diseases such as eczema and acne. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. We have extensive experience in metagenomic analysis in clinically or commercially important contexts such as uncovering distinct microbial communities in households affected by paediatric eczema (PMID: 35318044) and revealing the microbial basis of body odour in teenagers (PMID: 30497517). We are now focusing on applying various -omics capabilities to larger sized disease cohorts to understand how microbial pathways and biomarkers change with disease progression and treatment. The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples. Project findings will have direct applications to ongoing and new microbiome research projects in the lab, particularly in skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world. The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• Bachelors degree in Computational Biology, Computer Science, Data Science, or a related field.
• Strong analytical and programming skills (Python, R, UNIX environment etc).
• Familiarity with Bioinformatics tools for RNA seq analysis and pipeline building will be useful.
• Interest in exploring biological questions and some course work in statistics is preferable.

How To Apply: Please e-mail your curriculum vitae and contact details of referees to Niranjan Nagarajan ([email protected]) and Minghao Chia ([email protected])

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.