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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

Qualifications

• Master's degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

The successful applicant will be involved in a multidisciplinary and collaborative research study on the built environment and mental well-being. He/She will investigate how the urban environment, such as neighbourhood design, heat stress and noise pollution, can influence the positive and negative aspects of mental well-being in families. The candidate will also be involved in longitudinal cohort studies and collaborations with clinicians and researchers from a wide range of disciplines.

1. Data management and analysis of data
2. Combine a thorough examination of the literature with study results to answer scientific questions and hypothesis
3. Assist with preparation of scientific publications, data reports, grants and presentations
4. Perform measurements, collection of data and samples as well as field and experimental work
5. Assist with other administrative duties

Job requirements

• Degree in Biomedical Sciences, Bioinformatics, Architecture, Statistics, Geography, Real Estate, Urban Planning or a closely related field
• No experience required or applicants with relevant project experience are welcome
• Highly self-motivated with excellent communication and writing skills.
• Proficient in Microsoft Office and statistical program.
• Strong desire to learn in a dynamic multi-disciplinary research environment.
• Previous experience with geospatial analysis, managing and analyzing data sets and/or in bioinformatics will be preferred.

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.

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

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 (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• The candidate will work for the project to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve transportation related problems:
• Develop mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles
• Conduct computer programming to verify the efficiency of the designed solution algorithms
• Conduct survey to better understand the travelers’ perception towards the new technology based public transport services
• Analyze data acquired from the field survey
• Develop mathematical models to predict passenger demand for public transport services with autonomous vehicles

Job Requirements:

• Preferably PhD in computer engineering, transportation engineering or related field.
• Expertise in computer programming
• Knowledge in urban transportation studies, traffic flow theory, operation research
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Excellent teamwork and verbal, written communication skills
• Independent, highly analytical, proactive and a team player
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Conduct cutting-edge research and development in speech/audio foundation models.
• Research, design, develop, and evaluate generative models.
• Conduct research to integrate Large Language Modeling into speech and audio generation (Neural Tokenizers, Large Language Modeling, etc.).
• Identify key research areas and contribute to innovative speech/audio models.
• Design and curate large-scale, high-quality datasets with multi-team efforts.

Qualifications:

• Major in computer science, mathematics, engineering, a related field, or equivalent professional experience.
• 2+ years of internship or full-time experience in one or more areas of machine learning and deep learning, including but not limited to:Speech/Vocal generation (including text-to-speech, singing-voice-synthesis, prosody transfer, etc.)
  Audio generation (including text-to-music, etc.)
  Large scale speech/audio self-supervised representation learning and foundation models
  Large Language Model pre-training and fine-tuning
• Deep knowledge of deep learning and generative models (Diffusion, Flow Matching, AR Transformer, Mamba, VAE, GAN, etc.).
• Self-driven, innovative, collaborative, with strong communication and presentation skills.

Preferred Qualifications:

• Ability to work collaboratively in fast-paced, startup environment.
• Strong publications in top-tier ML/Speech conferences/journals (e.g., NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH).
• Deep understanding of Large Language Models.
• Familiarity with different variants of diffusion models, such as Flow matching, DDIM, etc.
• Familiarity with large-scale distributed training.
• Knowledge of engineering principles and best practices.
• High proficiency in algorithms and programming; strong coding skills in Python.

Job Description

-Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models? behaviour and response by use of appropriate sensors.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Loads, motions and response analysis of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

-Any other duties as assigned by supervisor.

Job Requirements

-Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

-Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture.

-Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Programming codes such as Python, MATLAB, or equivalent.

o StarCCM+, OpenFOAM

-Model experiments in wave flumes, wave tank or ocean basin.

-Good interpersonal and communications skills.

-Ability to adapt and work effectively as members of a team.

-Good command of written and spoken language.

-Resourceful and self-driven with a high degree of professional integrity.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Barbaros Oezyilmaz under a project on Spin triplet superconductivity in van der Waals heterostructures.

Applicants should have a Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines and strong background in low-temperature device physics. The successful candidate will be working in state-of-the-art research environment and receive internationally competitive salary packages.

Our group has extensive experience in the fabrication and characterization of van der Waals heterostructures based on magnetic and superconducting layered materials. To support our ongoing work, we are looking for a new team member with extensive experience in low-temperature magneto-transport measurements. The candidate is expected to do research on spin triplet generation and characterization by introducing an additional layer of a magnetic semiconductor into existing heterostructures to realize spin mixing.

The main responsibilities of the position include:

1. Design and development of magnetic tunnel junction or spin valve.
2. Nano fabrication (e.g., stacking of van der Waals heterostructures, e-beam lithography, nano deposition) in clean room.
3. Low-temperature electrical characterization of superconductors/semiconductors.

Qualifications

• Qualifications / Discipline:

1. Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines

2. Excellent English communications

• Skills:

1. Nanofabrication

2. Low-temperature measurement

3. Device physics

• Experience:

1. More than 4-year experience in clean room environment

2. More than 2-year experience in graphene or other related 2D materials

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Explore related work in TEE-enabled AI applications.
• Build and implement techniques to guarantee the security of the AI applications while minimizing the impact on their accuracy and efficiency.
• Evaluate the techniques on relevant datasets.
• Write reports/papers on the techniques and results.

• Bachelor or Master degree in Computer Science, Information Technology, Cybersecurity, or closely related disciplines from an institution of higher learning
• Relevant research experience in machine learning, computer vision, or natural language processing
• Excellent knowledge/proficiency in programming software/languages such as PyTorch is required
• Demonstrated experience and know-how on machine learning, computer vision, or natural language processing. Research experience on foundation models and/or TEEs is a plus.
• Good analytical, technical and problem solving skills
• Applicants with research publications in top AI venues will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a unique interdisciplinary Research Centre of Excellence (RCE), funded by National Research Foundation, Ministry of Education, Nanyang Technological University (NTU) and National University of Singapore (NUS). Hosted by NTU in partnership with NUS, SCELSE is linking new insights from the life sciences with expertise from emerging technologies in engineering and natural sciences to understand, harness and control microbial biofilm communities.

We are seeking to appoint a motivated individual to join our team at SCELSE as a Research Fellow. The successful candidate will lead projects that focus on obtaining a detailed molecular mechanistic understanding of microbial biofilm development, and microbe-microbe interactions, in settings relevant to food spoilage and the food chain. The selected candidate will work independently, with other team members, and with collaborators to perform both in vivo and in vitro experiments to address specific scientific questions related to biofilm development/community interactions in these settings.

Key Responsibilities:

• To plan, perform and document laboratory experiments to study biofilm development and community interactions.
• Work closely with the Principal Investigator to analyse and interpret data, troubleshoot experiments and write manuscripts on research outputs.
• To train students/staff in the lab in relevant techniques and contribute to co-supervision of some of these team members.

Job Requirements:

• PhD in biology, biomedicine, microbiology or a related field.
• Experience in general microbiology processes is essential.
• Ability to design, plan, and execute experiments independently is essential.
• Experience in biofilm research is desirable but not essential.
• Experience with metagenomics, metabolomics and fluorescence microscopy is desirable but not essential.

** Initial contract duration for 12 months, with the potential for extension.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore – which is the top ranked university in Asia – is recruiting full-time Practice Track faculty staff at the Associate Professor or Professor ranks for the Saw Swee Hock School of Public Health (SSHSPH).The Practice Track is a non-tenurable track, open to scholar-practitioners with professional skills and expertise in industry to complement the existing teaching and research expertise of the University. At first and subsequent reappointment, the contract offered may range from 1 to 5 years.

New faculty members may be eligible for subsidised university accommodation, in addition to an attractive salary and benefits package.

The successful candidate will be expected to contribute to education, faculty development, and service, and complement the research efforts of the Faculty/School where appropriate. In particular, the successful candidate will be expected to contribute significantly to the School’s Master programme and public health practice-related research collaborations with the Ministry of Health Singapore and other stakeholders in Singapore’s health system. They are also expected to contribute significantly to the outreach activities of the School. These include executive education and collaboration with relevant institutions which will enhance the reputation of the Faculty/School.

Researchers active in one or more of the following areas are particularly encouraged to apply:

• Economic evaluation of public health interventions and/or health technologies;
• Comparative effectiveness analysis including systematic review, meta-analysis, and analysis of real-world evidence;
• Economic theories to support healthcare resource allocation or priority setting.

Qualifications

• At least 6 or more years’ of practice experience at a senior level in a managerial, professional or specialist role with demonstrated leadership in the profession;
• Track record of leading and completing high-impact public health-practice related projects;
• Ability to generate and maintain an independent stream of research funding;
• Ability to teach public health courses at both undergraduate and graduate levels;
• Ability to work in multidisciplinary teams;
• Ability to work with culturally diverse populations.

Responsibilities

Responsibilities include:

• Administrative leadership and teaching in the Master programme;
• Graduate student advising;
• Contributing to policy/community development in the field of public health;
• Establishing an independent research agenda through extramural funding.

More Information

To apply, please submit a cover letter specifying your research and/or teaching interests and experience, your curriculum vitae, names and contact details of 3 references.

For more information on NUS please visit: www.nus.edu.sg. For more information about the Saw Swee Hock School of Public Health please visit www.sph.nus.edu.sg.

Please note that only shortlisted candidates will be contacted.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer who will be responsible working on a project on cyber security and privacy issues for IoT and cyber-physical systems.

Responsibilities:

• Design and develop techniques that detect attacks on IoT/CPS;
• Perform analysis and simulations to validate designs;
• Implementation and development of demos;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• BEng/BSc/BTech in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of cyber security would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• A good team-player;
• 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

We are looking for a Research Engineer who will be responsible working on a project on cyber security and privacy issues for IoT and cyber-physical systems.

Responsibilities:

• Design and develop techniques that detect attacks on IoT/CPS;
• Perform analysis and simulations to validate designs;
• Implementation and development of demos;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• BEng/BSc/BTech in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of cyber security would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• A good team-player;
• Open to Fixed Term Contract

Senior Testing Engineer

As part of IME’s Photonics & Sensors Department, the candidate will take lead for the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices
• Manage photonics laboratory including facilities management, health and safety, equipment calibration, inventory and stocktake
• Take on procurement duties for laboratory equipment and consumables
• Prepare technical presentations for internal meetings

Qualifications:

• Bachelor’s degree in Physics, Electronic/Electrical Engineering or equivalent
• Experience in optical/photonics device testing
• Experience in experimental data acquisition and analysis
• Critical thinking and problem solving ability
• Strong skills in communication and providing technical presentations
• Values teamwork and fostering a collaborative spirit
• Skillset in programming or instrument automation is a plus

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting AI research on career trajectory analytics. Successful candidate will be part of an active research team led by Prof LIM Ee Peng from School of Computing and Information Systems, Singapore Management University.

• Code development
• Database management
• Data analysis and visualization
• Experiment design and implementation
• Software documentation
• Meeting arrangement
• Presentation
• Report writing

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Relevant research experience is preferred
• Proficiency in programming in Python and related packages
• Knowledge in large language models, databases (including SQL), NLP, and machine learning.
• Experience with research works is preferred
• Good analytical, technical and problem-solving skills
• Applicants with research publications in AI or NLP area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

One Research Assistant

Period 1: 31 January – 21 February 2025 (16 mandays)

Period 2: 26 March – 11 April 2025 (12 mandays)

Up to max of 168 hours of work over the two periods.May not be expected to work every weekday

Mondays to Fridays, 9:30am to 4.30pm, 1 hour break. Not required on Sats, Suns and gazetted PH.

Use IT tools to automate data collection processes for a research study (e.g., using macros in Microsoft Office applications such as Excel and Word):

• Generate administrative forms, reports and other materials to be sent to schools;

• Collate and check data submitted by schools;

• Communicate and clarify with schools on data submission.

May also be required to perform other administrative tasks.

RA should be meticulous and strong in IT skills. He/she must be able to use IT tools to automate data collection processes (e.g., using macros in Microsoft Office applications such as Excel and Word).

Place of work - MOE North Buona Vista Drive, must be able to commit to work for the 2 periods.

Salary: 20 per hr.

The Signature Research Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders.

The Laboratory of Neural Stem Cells, led by Professor Hongyan Wang, is dedicated to understanding molecular mechanisms of brain development. Utilizing Drosophila, mouse, and human brain organoids as model systems, our research focuses on elucidating to neural stem cell proliferation, differentiation, and regeneration, as well as their implications in neurodevelopmental disorders (Science Advances 2024, Nature Communications 2024, PLOS Biology 2024, Cell 2024, Developmental Cell 2023, 2010, 2011). Prof. Wang, an EMBO Associate Member, is an internationally recognised leader in the field of neural stem cells.

This position represents an exceptional opportunity to gain experience in cutting-edge biomedical research within a friendly, collaborative, and supportive laboratory environment. For further details, please visit the Wang Lab website: https://www.duke-nus.edu.sg/directory/detail/hongyan-wang.

The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Independently carry out the design and execution of experimental research required by the research component of the project.
• 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.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD Biological Science or related disciplines.
• Have a high level of motivation and a keen interest in neural stem cells.
• Proven track record in the form of high impact publications.
• Demonstrated capability of research independence progressively.
• 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.

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

• 4 year contract + perm benefit

• Nearest MRT: Novena

• Previous experience in research is more advantageous.

Job Description

1. Draw on knowledge of psychology and behavioural sciences to support conceptualisation of and conduct applied research studies as required.
2. Conduct literature reviews and write reports.
3. Collect and analyze research data.
4. Provide publication-related support.
5. Coordinate with internal and external parties to facilitate research studies or related requests.
6. Archive research process and outcomes.
7. Any other duties as assigned.

Job Requirement

1. Singaporean only.
2. Min Degree (Preferably Degree in Psychology/Social Sciences/ Statistics or relevant qualification).
3. Strong writing, interpersonal, and communication skills.
4. Proficiency in statistical software (SPSS).
5. Previous experience in research is more advantageous.

*Salary offered depends on experience and qualification.

Interested candidates please click “Apply Now”.

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

Nicky Yew Soo Ee

Fulfillment Team

BGC Group Pte Ltd

EA: 05C3053

Registration No: R22109448

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively