Total 3,499 science rd research job vacancies in Education / Training category in Singapore

The Energy Research Institute @ NTU (ERI@N) is looking for highly motivated and experienced candidate to join us as Research Fellow. The candidate will be part of Indonesia–NTU Singapore Institute of Research for Sustainability and Innovation (INSPIRASI), a joint research consortium between founding university partners, NTU, Universitas Gadjah Mada (UGM), Universitas Indonesia (UI), Institut Teknologi Bandung (ITB), and Institut Teknologi Sepuluh Nopember (ITS).  Beyond its role as an education hub to facilitate knowledge creation and transfer between NTU and the four Indonesian universities, INSPIRASI is an innovation hub of cutting-edge technology, with a research focus on sustainability, particularly in renewable energy, circular economy and smart cities.

The candidate will support the program as research fellow to conduct and contribute to the development of next generation solar harvesting technology in the INSPIRASI programme, ensuring synergistic and collaborative research among the universities.

Key Responsibilities:

• Develop and implement wet-based fabrication techniques to create novel inorganic photoabsorbers based on computational recommendations

• Apply expertise in inorganic semiconductor synthesis and composite formulations, with a focus on optical applications

• Conduct comprehensive experimental studies to fine-tune the novel photoabsorbers for desired properties

• Collaborate closely with the team to ensure the successful development and integration of novel photoabsorbers for diverse applications

• Employ advanced characterization methods, including photoluminescence, UV-Vis spectroscopy, Solar Cell performance, and photoelectrochemical cell testing

• Conduct thorough literature review and generate periodic updates

• Supervise junior research staff, undergraduate and graduate student projects

• Manage logistical issues and laboratory inventory

• Facilitate and support research collaboration among faculties and researchers from NTU and partner universities

• Document and disseminate research findings through scientific reports, publications and international conferences

Job Requirements:

• Hold or anticipate obtaining a Ph.D. in materials science, chemistry, or physics

• Possess a minimum of 4-5 years of research experience, encompassing the Ph.D. study period, in the optoelectronic semiconductor field for energy applications

• Exhibit expertise in the fabrication and characterization of solar cells or photoelectrochemical cells (e.g. IV characterization, XRD, SEM, EQE, PL, etc)

• Knowledge and experience in high throughput synthesis and analysis is a bonus

• A strong track record of research ability and demonstrated contribution to research (e.g., research publications, grant applications, patents)

• Excellent interpersonal skills, and ability to work in a diverse, international, and inter-disciplinary research environment

• Ability to take initiative to improve processes and troubleshoot problems

• Exhibit excellent English communication skills, both written and verbal

• Ability to work well with multiple competing priorities, manage projects and meet deadlines

• Prove the ability to work effectively within a collaborative team environment as well as work independently with minimum supervision

We regret that only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

Key Responsibilities: 

• Collaborate with other researchers (including PhD students and research staff) to conduct research on the structure-property relationship of additive manufactured (AM) alloys under the supervision by Prof. Gao Huajian.

• Perform multiscale simulations (DFT, MD, FEM, Phase field model) to obtain fundamental understanding of the deformation mechanism of AM alloys and develop physics-based models for the verification and prediction of mechanical properties.

• Deliver project millstones timely and present the work on internal and external conferences. 

Job Requirements: 

• PhD degree in solid mechanics/computational mechanics/mechanics of materials

• Rich experience in theoretical and computational mechanics

• Good communication and writing in English

• Good interpersonal skills;

• Strong responsibility for research work.

• Publication track record is an advantage

We regret that only shortlisted candidates will be notified.
 

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Associate.

 
Key Responsibilities: 

• Work on human-like traffic simulation, with the focus of modeling traffic behaviors from large-scale real-world datasets.​

• The work will involve traffic scene representation, behavior modeling with common sense and prediction, generating road layouts, initializing states of traffic agents, rendering in physical simulators, and experimental validation.

Job Requirements: 

• At least have a Masters Degree in Mechanical Engineering, Robotics, Mechatronics, Automation and Control Engineering, Artificial Intelligence (AI), etc.

• Relevant working experience will be preferred.

• Strong background in autonomous driving, simulator, AI, and automation.

• Good communication skills and the ability to work independently and facilitate projects with minimal supervisiont

• Able to contribute to Journal/Conference papers with good presentation skills

• Able to plan and organize well and adhere to deadlines.

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

We are looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

Bachelor or above degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

The School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Fellow. The researchers will work on a project on Li-ion battery ageing analysis and experiment testing, funded by Astar.

Key Responsibilities:

• Perform experiment testing for Li-ion batteries

• Develop heath indicators based on the experiment testing data

• Develop machine learning models for battery health assessment and remaining useful life prediction

Job Requirements:

• PhD degree in Electrical Engineering or related subjects.

• Expert knowledge in Li-ion batteries and machine learning techniques, as well experiment testing

• Research experience with battery ageing analysis, machine learning model development.

• Excellent verbal and written communication skills in English.

• Strong analytical and conceptual abilities.

• Able to work independently and in a team to realize proposed research work.

• Publication track record is an advantage

• Proficiency in basics of programming languages such as matlab and Python

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Fellow. The researchers will work on a joint research project between NTU and SP (Singapore Power) company to conduct the research on development of Risk based Asset Investment and Planning Optimization.

Key Responsibilities:

• Develop asset heath index for transformers, switchgears, and cables.

• Develop criticality index and risk matrix for power asset assessment.

• Develop optimization methods for asset renewal and replacement investment.

Job Requirements:

• PhD degree in Electrical Engineering or related subjects.

• Expert knowledge in power system modeling and simulation

• Research experience with power asset health modeling and data analytics.

• Excellent verbal and written communication skills in English.

• Strong analytical and conceptual abilities.

• Able to work independently and in a team to realize proposed research work.

• Publication track record is an advantage

• Proficiency in basics of programming languages such as matlab and Python

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

This position is for postdoctoral research in the exciting areas of either CO2 capture, CO2 conversion, and bioelectrochemistry in the Andrew B Wong group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS) as well as with the Department of Chemical and Biomolecular Engineering at the National University of Singapore (NUS).

The ideal candidate would possess expert-level knowledge of electrocatalysis, bioelectrochemistry, or similar chemistries with a publication track record as a first author in leading journals (Impact factor >10 or more). Experience with materials characterization techniques such as SEM, EDS, EELS TEM, STEM, XRD, XAS, XPS, FTIR, AFM, STM, and/or Raman would be desirable. Comfort discussing research fluently in English is also highly desirable.

Those applicants who meet the requirements and pass the preliminary review will be notified via email to arrange an interview. Recruitment advertisements are in effect until the positions are filled.

Job Requirements

1. PhD degree in a related discipline (Chemistry, Chemical Engineering, Materials Science, Physics, or a related field). A strong understanding and extensive experience in electrochemistry/electrocatalysis or bioelectrochemistry is strongly preferred.

2. Applicants should have excellent research skills, experiences, and traits, such as:
a) Able to demonstrate a track record of novel research (First author papers in IF >10 journals)
b) Able to understand, analyze, and critique literature
c) Able to formulate and propose research directions
d) Able to demonstrate a rigorous and earnest attitude towards research
e) Able to work well in interdisciplinary or multicultural team settings
f) Able to carry out scientific research independently
g) Able to mentor undergraduate, master’s, and PhD students
h) Able to manage routine logistics of research

3. Applicants with at least one of the following experiences are preferred:
a) Rich experience in nanomaterial synthesis and characterization for catalysis (such as synthesis of new catalysts)
b) Research background in electrocatalytic reactions (including but not limited to CO2RR, OER, HER, etc.) and/or with electrolytic cells ( such as flow cell, membrane electrode assembly, solid-state electrolyte, etc). Applicants with unique insights and research ideas on the development of carbon dioxide electrocatalysis and cell design or electrode design are particularly desirable.
c) Experience with in-situ or in operando characterization of electrocatalysts, including FTIR, Raman, or XAS characterization, etc.
d) Research experience with halide perovskite materials, including design and synthesis of new materials, device fabrication (PV and/or LED), and characterization.
e) Experience in high-temperature electrochemistry using molten salt electrolytes.
f) Experience in bioelectrochemistry.

As a research assistant in RA, you will join a team of multidisciplinary researchers and data scientists, and work with academics and partners in the social sector. You will support researchers by:

• Assisting in project management of various research studies and research processes
• Liaising with internal and external stakeholders
• Participating in planning of research related events
• Developing digital material (e.g., infographics) to support research communications
• Assisting in fieldwork and/or analysis of research studies

Requirements:

• Singaporean
• Degree
• Strong project and event management, communication, and interpersonal skills
• Comfortable with a fast-paced team environment and multitasking
• Interest in social policy and research
• Familiar with graphic design software (e.g., Adobe Illustrator)
• Familiarity with social research methods (qualitative and/or quantitative) would be a strong advantage

Should you be interested in this position, please contact Terence at +65 9645 4048 your resume directly for fast respond.

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

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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

NUS is seeking for Research Engineer to work on the following topics.

1. Emerging Low-Carbon Technologies: Uncovering the carbon mitigation potential and cost-effectiveness of deployment of green hydrogen, CO2 capture and utilization, renewables-based heating, etc., in hard-to-abate sectors such as steel, cement, chemicals, and aluminum.

2. Existing Symbiotic Technologies: Exploring the deployment strategies of existing technologies related to industrial symbiosis and material/energy recycling to foster industrial synergy and collaborative infrastructure systems for increased sustainability.

Job Requirements

• Possess a bachelor degree in environmental science, energy, chemical engineering, economics, or other related fields.
• Good written and spoken communication.
• Excellent communication skills and capability to present research findings in publications.
• Open to fixed-term contract.

Note: Applications should include in a single .pdf file:

(i) Resume
(ii) Research statement (1-2 pages), including research summary and plans &
(iii) contacts of 3 reference persons plus the contact of your PhD supervisor.

Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Study correlated twisted materials and other topological quantum materials with strong correlations
• Provide theoretical support for our experimental collaborators
• Work collaboratively and train junior lab members

Job Requirements:

• PhD in Physics
• Self-motivated with solid background in group theory.
• Related research experience in topological quantum materials
• Able to work as a team and independently in an interdisciplinary team.
• Published at least 1-2 publications as a first author in top international peer-reviewed journals

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information).

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

This position is for a full-time Senior Research Fellow in the Laboratory of Immunity and Immune Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens by performing a variety of research under the supervision of the Principal Investigator or his/her designate. The main duties and responsibilities will include but not limited to the following: -

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Independently analyse complex data sets.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research, which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Assist in writing and monitoring animal protocols, and IRB applications.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Biology or other related fields.
• Prior experience in molecular and cellular biology techniques, animal model work, and/or human immunology. Knowledge of single cell transcriptomics data analysis would be advantageous.
• Demonstrated capability of research independence progressively.
• Have in-depth knowledge, skills and expertise with potential to achieve research excellence.
• Possess strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce

We regret that only shortlisted candidates will be notified.

Tanglin Mission

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

Our Vision

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

The Role

We require an outstanding teacher to teach Computer Science in the Middle School (11-14 years old). A colleague with commitment, integrity and excellent communication skills. A teacher with flexibility, resilience, and a caring and kind approach towards students. A learner with a drive to develop creative new approaches to student learning within a collaborative environment.

The role reports to Assistant Head of Faculty (Computer Science) (Senior School).

Key Responsibilities

1. Learning & Teaching

• Manage an effective, enthusiastic and safe learning environment.
• Deliver the curriculum to assigned classes in accordance with the School’s timetable.
• Differentiate lessons according to the abilities and learning needs of individual students.
• Promote independent learning by adopting teaching and learning strategies which develop the competence and confidence of every pupil.
• Support nurturing the attributes of the Tanglin Learner Profile with its emphasis on ‘balance’ ‘independence’ and ‘resilience’ as key features of student development.
• Ensure the thorough implementation of subject specifications, teaching schemes, assessment policies and reporting procedures.

2. Planning & Development

• Assist the AHOF in assessing and developing the Middle School (11-14 Years old) Computing curriculum in the school.
• Assist the AHOF in identifying areas for professional development within the Computer Science department.
• Assist the AHOF in identifying areas for development in Computer Science within the broader aims of the school development plan.
• Collaborate with colleagues in the planning and delivery of the schemes of work, including the choice of appropriate teaching and learning methods to meet the needs of the subject, and of different students.
• Keep abreast of current developments in Computer Science and to assist the AHOF in adapting curriculum content and methods of teaching and examining as appropriate.

3. Management of Resources and the Teaching Environment:

• Assist the AHOF in identifying appropriate resources within the limits of the departmental budget.
• Assist the AHOF/HOF in ensuring health and safety policies are followed within the department.
• Assist the AHOF in ensuring that departmental rooms present stimulating environments, which help to influence pupils’ attitudes positively towards the Computer Science.

4. Assessment, Recording & Reporting

• Ensure students’ work is regularly assessed according to Computer Science department policy and that homework is in line with school policy.
• Report to parents in accordance with the school’s reporting policy as laid down in the Staff Handbook.
• To use information gained from assessment, recording and reporting procedures to generate further improvement in student achievement.
• Assist the AHOF in the setting and marking of school examinations and to supervise entries for external examinations.

5. Pastoral and Co-Curricular

• When required, take on a form tutor role in the Senior School and fulfil the responsibilities of that position.
• Follow the School’s policies and procedures with regard to discipline and behaviour, daily routines, duties, homework, leave of absence, and visits, as laid down in the Staff Handbook.
• Contribute to co-curricular activities that broaden pupils’ experiences and contribute to the general life of the school.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.

6. Communication and Liaison

• Promote the study of Computer Science amongst students and parents.
• Attend and contribute to meetings of a professional nature with HOF, HOY, SSLT and in other circumstances when requested.
• Liaise with the AHOF in respect of pupil records, rewards and sanctions.
• Maintain appropriate links with teaching colleagues in all sections of the school and foster cross-curricular links where appropriate.
• Liaise with members of the Learning Support Team with regard to individual students who may have additional needs, to ensure that those needs are understood, planned for and met.
• Liaise with pastoral staff, including form tutors, Heads of Year, the Assistant Heads of School and the Head of Careers on matters pertaining to the study of Computer Science and.
• Contributing to the strengthening of the parent-teacher partnership in individual and whole school initiatives as and when required.
• Assist the AHOF in developing effective links with the wider community, including business and industry, in order to extend the study of Computer Science and enhance teaching and learning.

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

Characterization of catalytic nanomaterials with advanced electron microscopy

Qualifications

• At least a MSc in materials sciences, Physics, Chemistry, or related disciplines, with a proven ability for outstanding research that is reflected in his/her publication record
• Highly self-motivated and ambitious to do cutting-edge research
• Strong communication skills in English (both Oral and Writing)
• Extensive experience with heterogeneous catalysts
• Have extensive experience working with complex oxide catalysts
• Have extensive experience working with Pt-Sn alloy catalysts
• Extensive experience with identical-location TEM

A Research Associate in Mathematics position is currently available in the School of Physical and Mathematical Sciences (SPMS).

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Geometric Modelling
• Geophysical Fluid Dynamics
• Structure Preserving Numerical Methods.
• Theoretical development in the area of modelling for geophysical fluid dynamics
• Numerical implementation of derived models
• Analysis and discussion of the results
• Writing of scientific articles
• Interaction with the members of the research group and researchers in Geoscience
• Presentation of the results

Job Requirements:

• Master in Mathematics
• Basic knowledge in Geophysical Fluid Dynamics
• Solid knowledge of tools from Differential Geometry (Manifolds and Tensor Analysis, Lie Groups, Geometric Structures)
• Solid knowledge of techniques from Structure Preserving Numerical Discretization of ODEs and PDEs
• Solid knowledge of programming languages such as Matlab, Python, Fortran, FEniCS, Firedrake.

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

Location: Redhill

Work Days: Monday - Friday, office hours

Contract: 12 months

Salary: Up to $2,800 per month

Job Role:

• To assist in and conduct interview and/or focus group sessions, collate and maintain information obtained.

• To read casefiles, reports and other relevant document for data coding

• To maintain an up-to-date database by obtaining information from relevant officers and keying in data into the system

• To conduct literature reviews and obtain relevant evaluation tools

• To conduct statistical analysis and interpretation of data

Requirements:

• Minimum Degree Holder in relevant field

• 1 year of experience

• Good in statistics and analysis of data

Interested candidate please click on the following link to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile. <https://go.persolkelly.com/job/apply/3457>

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies.

You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. <R23114044r> <Farisya Elyna Putri Mohamed Saleh>

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 Visiting Senior Research Fellow will be responsible to, and work closely with, the Principal Investigator and the Memory Aging and Cognition Centre. The applicant will focus on neuroimaging , neurocognitive and neurobehavioral studies of dementia and its integration with genetic, clinical and PET data.

Main duties and responsibilities

1. Perform academic research on neurocognitive and neurobehavioral markers of dementia in different population settings imaging and other clinical outcomes in MACC observational and clinical trial cohorts

2. Provide supervision and training to research associates / research assistants / students

3. Provide expertise to work with collaborators on the design and analyses of cognitive and behavioral studies.

4. Contribute to large domestic and international research funding applications.

Qualifications

The applicant should:

1) have a PhD degree, which must include appropriate postgraduate training and experience in neurocognition and neuropsychiatry.

2) have strong knowledge of epidemiology and statistical applications, e.g. SPSS, MS office, PowerPoint.

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

About SERI

SERI, the research arm of SNEC, was established in 1997 with the mission to conduct high-impact eye research that prevents blindness, low vision and major eye diseases in Singapore. Till date, SERI has conducted landmark research projects that have led to tangible outcomes, patient benefits and success stories. It has been paving the way for significant improvements in how eye diseases are treated and prevented, not just within Singapore but on a global scale.

By joining SERI, you can:

• Work with a Purpose: Meaningful impact towards improving patients’ lives through research
• Maximise your Potential: Opportunity to work with global and top researchers at one of Singapore’s largest research institutes and be engaged in continuous learning and development opportunities
• Be Connected and Cared for: People-centric environment that supports your personal well-being guided by our core values of Compassion, Integrity, Collaboration

What you'll do:

Conduct Research and Model Development:

• Design and conduct innovative research projects in the field of ophthalmology and healthcare using large language models
• Develop and optimize large language models tailored to address clinical unmed needs
• Explore novel approaches and methodologies to enhance language model capabilities in healthcare contexts
• Communicate research findings through presentations, publications, and collaborative discussions
• Stay abreast of the latest advancements in language models contribute to the state-of-the-art knowledge

Data Collection and Analysis:

• Curate and analyze large datasets to train and evaluate language models
• Collaborate with interdisciplinary teams to ensure data quality and relevance

Implementation:

• Implement state-of-the-art techniques to improve model performance and interpretability
• Collaborate with internal and external stakeholders, including clinicians, data scientists, and engineers, to integrate language models into practical healthcare solutions

Ethical Considerations:

• Ensure research aligns with ethical guidelines and data privacy standards
• Responsible for transparent development and deployment of language models in healthcare

What you'll need to have:

• A bachelor's degree or above in Computer Science, Artificial Intelligence, Data Science or a related field
• Proven experience in natural language processing, deep learning, and large language models
• Background or strong interest in ophthalmology and healthcare applications
• Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Excellent communication and collaboration skills

Preferred Skills

• Experience working with healthcare data, electronic health records, or medical imaging
• Strong publication record in reputable conferences or journals
• Familiarity with ethical considerations in AI research and healthcare applications
• Previous experience in interdisciplinary collaborations

Note: Eventual package offered will commensurate with qualifications and experience

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. Our lab is interested in developing new screening assays for drug discovery and early-stage antimicrobial drug development. Lab has extensive experience working with various pathogens (bacteria, virus and parasites).

The job responsibilities include:

• Bacterial and viral assay development and assay optimization
• Compound screening
• Target deconvolution (understanding mechanisms of action and resistance of selected compounds)
• 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
• 5 years of relevant experience or candidates with relevant final year project expereince
• Highly motivated and able to work independently
• Adaptable to working with different organisms (bacteria or viruses)
• Team player with good interpersonal skills
• Good spoken and written communication skills
• Possible work in a BSL3 facility

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.

Our clients, major stake holder in the healthcare industry, are looking for Agency Part Time Nurses to join their dynamic team!

Responsibilities:

• Responsible to handle patients in basic treatments
• Educate patients on the disease progress, can draw blood
• Encourage self-management
• Identify at-risk patients
• Perform some outcome management and tracking of data.
• 3 - 4 days days a week (part time commitment)

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word 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

A 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 will work closely with the Principal Investigator (PI) on quadrotor path planning, control, SLAM, swarm path planning, and cooperative transport. The approach will leverage the advantages of both deep reinforcement learning and conventional controls, combining model-based and model-free methods. Strong hardware experience and C++ coding especially related to quadrotor path planning and control are required.

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 Bachelor’s or Master’s degree from a reputable university, and with strong hardware expertise in aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences, and practical hands-on experience in applying reinforcement learning to real robotics applications (e.g., autonomous driving and unmanned aerial vehicles) are highly valued.

Qualifications

• Possess a bachelor’s or master’s degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Electrical, Mechanical, Information Engineering).
• Have research experiences in control, reinforcement learning, distributed optimization, multi-agent, UAVs.
• Possess a strong experience in practical hands-on hardware project, familiar with 3D modelling and mechanical design. 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 algorithm.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of control theory and robotics applications, 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.
• Open to Fixed Term Contract

An exciting research opportunity within the Schaeffler-NTU Corporate Lab (SHARE) at the School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

We aim to develop the next generation robotic manipulator (cobot) to safely interact with humans in industrial manufacturing tasks.

Key Responsibilities:

• Work on exciting robotics design
• Creating new prototypes

Job Requirements:

• PhD in Mechanical engineering, Electrical engineering, or related fields
• Good publication track record
• Creative mind, with a problem solving attitude

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 Department of the Built Environment at the National University of Singapore hosts the Centre for 5G Digital Building Technology (5GDBT), which focuses on several key research areas. These include:

1. Smart Facilities Management (FM) through Digital Twin (DT) technology.
2. Integration of Robotics and Internet of Things (IoT) sensors.
3. Exploration of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (XR).
4. Advancements in 5G Network Technology.
5. Implementation of a Common Data Environment for the integration of Smart Technologies.

The primary objective of the Centre for 5GDBT is to play a pivotal role in Singapore's digital research transformation, aligning with the nation's goal of achieving nationwide 5G coverage by 2025. The Centre for 5GDBT aspires to become a leading hub for digital building technology, focusing on impactful research, comprehensive education, and the adoption of best practices. Its strategy involves leveraging 5G connectivity, cloud-based DT technology, and robotics for applications in Smart FM and the Built Environment (BE) industry. Ultimately, the Centre seeks to revolutionise the design, delivery, and management of Singapore's BE.

The Centre for 5GDBT is in search of a Research Fellow (RF) with a proven ability to lead and execute research projects independently. The role requires a strong foundation in managing research projects and a deep understanding of smart technologies within the Built Environment (BE) industry, specifically in the Facilities Management (FM) domain. This encompasses expertise in technological competencies and smart technologies such as robotics (e.g., cleaning robots, concierge robots) and IoT devices.

The RF will be tasked with not only the technical aspects of research projects but also administrative and managerial responsibilities associated with them. Additionally, they will play a crucial role in supporting PhD students by offering academic and research guidance, collaborating closely with the Principal Investigator (PI), Dr Shah. Ideal candidates should bring substantial research experience in relevant fields, possess robust data analysis skills, and demonstrate proficiency in programming.

The selected candidate will engage in both academic development and hands-on fieldwork, collaborating with fellow research staff and students. This will be carried out under the guidance and supervision of the Principal Investigator (PI).

Job Requirements

- Hold or be in the process of obtaining a Ph.D. (i.e. is in the final stages of PhD studies meaning submitted thesis or pending oral defence) in a relevant field, such as Computer Science, Building Science, or related disciplines.
- Demonstrate a proven track record in effectively managing and actively participating in advanced theoretical and computational research projects.
- Able to develop robotic use-cases for Smart Buildings and Smart Facilities Management
- Working with integration of Digital Twins with Robotics and IoT sensors
- Possess strong programming skills, with specific knowledge or experience in the areas listed below:
• Digital Twin
• Robots = Message Queuing Telemetry Transport (MQTT), Robot Operating System (ROS) 1 & 2, Python, Java, C++
• Cameras = Localised LAN Server, Video Management Server (VMS), Streaming RTMP
• Display = Remote PC Display
• Experience in API, APKs, SDKs, UI/UX
• Experience in Artificial Intelligence (AI), ChatGPT, Video Analytics
• Developer:
(1) AI detection models for Andriod
(2) Video Analytics (MobileNet, TensorflowLite, Kotlin)
(3) Andriod Apps Developer
(4) Live Streaming Andriod Apps
(5) Live Broadcasting Andriod Apps
(6) Backend Video Server Developer
- Skills listed below would be strongly preferred:
• Video Analytics Detection Models
• Large Language Models (LLM)
• Artificial Neural Networks
- Working with integration of Digital Twins with Robotics and IoT sensors, Generative AI, Smart Cameras, Drones
- Exhibit exceptional communication skills, both written and verbal, and demonstrate proficiency in team management. The candidate should also showcase independent problem-solving abilities.
- Fluency in oral and written English is essential to effectively collaborate and communicate within a diverse research environment.
- Experience in writing proposals and paper publications
- Ability to contribute to and lead the development of academic papers for publication in reputable and high-impact journals, reflecting a commitment to scholarly excellence.
- Proven capability to mentor and guide research staff and students, fostering a collaborative and innovative research culture.
- Display a keen interest in staying abreast of emerging technologies and methodologies within the specified research areas, continuously contributing to the intellectual advancement of the team.
- Previous experience in securing research funding, collaborating with industry partners, and participating in interdisciplinary research initiatives would be considered 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

NUS is seeking for Research Engineer to work on the following topics.

1. Emerging Low-Carbon Technologies: Uncovering the carbon mitigation potential and cost-effectiveness of deployment of green hydrogen, CO2 capture and utilization, renewables-based heating, etc., in hard-to-abate sectors such as steel, cement, chemicals, and aluminum.

2. Existing Symbiotic Technologies: Exploring the deployment strategies of existing technologies related to industrial symbiosis and material/energy recycling to foster industrial synergy and collaborative infrastructure systems for increased sustainability.

Job Requirements

• Possess a bachelor degree in environmental science, energy, chemical engineering, economics, or other related fields.
• Good written and spoken communication.
• Excellent communication skills and capability to present research findings in publications.
• Open to fixed-term contract.

Note: Applications should include in a single .pdf file:

(i) Resume
(ii) Research statement (1-2 pages), including research summary and plans &
(iii) contacts of 3 reference persons plus the contact of your PhD supervisor.

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

• Pulsed plasma actuators have gained significant traction in the research community for their ability to produce enhanced aerodynamic performance with minimal modifications required to the system geometry. Yet while most studies have focused on flow separation control, less attention has been devoted to skin friction reduction. This project aims to examine and optimize the performance of a novel class of pulsed plasma actuators.
• The selected candidate is expected to conduct experiments to characterize both the aerodynamic performance and plasma properties of these actuators, so as to understand the underlying physical mechanisms leading to any observed drag reduction. Extensive use and development of laser-based techniques should be expected, along with ample potential for use of machine learning approaches.

Qualifications

• PhD in Fluid Mechanics, Aerodynamics, Applied Physics, Plasma Physics, or related field. Experience in laser-based diagnostics and/or machine learning approaches is strongly preferred.

Work location: Caldecott

Contract duration: 1 year

Salary: $2800

Responsibilities

• Assisting in project management of various research studies and research processes
• Liaising with internal and external stakeholders
• Participating in planning of research related events
• Developing digital material (e.g., infographics) to support research communications
• Assisting in fieldwork and/or analysis of research studies

Requirements

• Degree
• Strong project and event management, communication, and interpersonal skills
• Comfortable with a fast-paced team environment and multitasking
• Interest in social policy and research
• Familiar with graphic design software (e.g., Adobe Illustrator)
• Familiarity with social research methods (qualitative and/or quantitative) would be a strong advantage

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

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