The Dementia Research Centre (Singapore) [DRCS], part of the Lee Kong Chian School of Medicine (LKCMedicine), is dedicated to advancing research on cognitive impairment and dementia spectrum disorders. As a multi-study research center, DRCS focuses on the pathobiology of Asian dementia and innovative models of care for cognitive disorders. Led by Associate Professor Nagaendran Kandiah, an internationally renowned clinician-scientist, DRCS is spearheading transformative research initiatives like the BIOCIS study, CHOICE project, and AMBITION study.

Position: Research Assistant

We are seeking a highly skilled and motivated Research Assistant or Research Associate with a Bachelor’s or Master’s in Biomedical Engineering or Neuroscience or Psychology and related fields, to contribute to ongoing and future research initiatives, including BIOCIS (Biomarkers and Cognition Study, Singapore), CHOICE (Cerebrovascular Health, Optical Imaging, Cognition, and Evaluation of Lifestyle Intervention Study), and AMBITION (Asian Mild Cognitive Impairment – Blood-based Biomarkers, Ischemia, and Neuroinflammation Changes in the Asian Brain). The successful candidate will play a key role in advancing neuroimaging and optical imaging research in dementia.

Key Responsibilities:

Data Management and Analysis:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging and eye imaging studies
• Collaborate with data analysis teams to ensure integrity and clarity in the research outputs across all studies.
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Collaboration and Communication:

• Work collaboratively with multidisciplinary teams within DRCS and external collaborators to ensure the success of multi-study initiatives.
• Communicate research findings in peer-reviewed publications, internal seminars, and conferences.

Requirements:

• Bachelor's or Masters in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging or eye imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

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

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

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

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

The Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning. Learn more about ROSE Lab at http://rose.ntu.edu

Key Responsibilities:

The Research Associate will be responsible for research on Multimedia (Audio & Video) Forensics, Generative AI, as well as Hallucination Detection and Mitigation. The roles of this position include:

• Working in research teams on Multimedia Forensics projects in Generative AI, Hallucination Detection, and DeepFake Detection.
• Creation of large-scale datasets for research and algorithm evaluation.
• Be part of a research team in the execution of funded research projects.
• Assist in drafting of proposals for research grants in the above areas.

Job Requirements:

• Masters in Computer Science, Data Science, Electrical/Electronic Engineering, or related field.
• Research experience in Computer Vision, Multimedia Forensics, Deep Learning, Trustworthy Machine Learning, and AI Security, as well as working with large-scale datasets.
• Experience with deep learning for image/video understanding, Generative AI, hallucination detection & mitigation, and adversarial/backdoor/poisoning attack/defense is essential.
• Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python and C/C++, as well as Linux (eg. Ubuntu) is essential.
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage.
• Good inter-personal skills, with the ability to work with people from varied backgrounds.
• Excellent verbal and written communication skills.
• Entry level candidates are welcome to apply

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

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

The successful candidate will join a multi-disciplinary team developing methods for the experimental synthesis of reticular materials. The vision of the team is to automate the discovery and synthesis of materials with properties that are tuned for specific applications. This position requires close collaboration with other teams, necessitating a multi-skilled individual capable of working effectively in a multidisciplinary team environment.

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Good command of English and formal writing - for research work purpose
• Adaptable and able to multi-task
• Proficient in MS office applications.

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

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

The job is for automated high-throughput experimentation and robotic development, running AI-driven automated worklows for thin film development, electrical and opto-electronic characterization as well as device applications. The RF will be responsible for building a fully automated robotic platform to execute the scientific goals laid out in the project, with multi-layer perovskite film deposition and crystallization, followed by rapid characterization to create a database (primarily building upon the SpinBot system we have purchased from SciPrios: https://www.sciprios.de/lab-automation/spincoating-robots/ ). The RF is also expected to execute optimization algorithms developed by the team to identify relevant regions of interest in the input parameter space. Python programming, database management and robotic interfacing (both with robots and electrical and mechanical equipment) is necessary for this job.

The work is critical in the goal of materials-by-design, especially considering sparse, yet well-labelled materials science datasets. The work performed here will continue to maintain NTU’s leadership in the space of AI for materials science, especially with digital discovery and data-driven learning being pioneering areas of research.

Key Responsibilities:

The Research Fellow is expected to work in the space of High-Throughput experimentation and automated robotics for synthesis, thin film deposition and electrical and opto-electronic characterization. Specifically, the RF is expected to work on the following areas of research:

• Building a self-driving lab with robots, spin-coater and/or doctor blade coating systems, integrated with sample transfer and electrical and opto-electronic characterization.
• Operating and maintaining the robotic systems and working with protocols, interfacing with characterization equipment, environmental chambers, and a data management system.
• Execute optimization algorithms that allow for fully automated experimentation, working closely with other members of the team.
• To assist in the creation and maintenance as well as performance of experiments in a self-driving thin film lab along with driving the scientific goals of the project, hypothesis generation and working closely with a 4-member PhD team.

Job Requirements:

• PhD degree in materials science, physics, chemistry, electrical engineering and/or related field
• Strong previous experience in building and assembling robotic systems, especially in materials research is critical.
• Experience in solution-based materials deposition is necessary, especially in halide-perovskite based systems.
• Skills and experience in quantitative research, robotics and electrical characterization and interfacing.
• Expertise in materials characterization techniques is necessary.
• Good analytical and academic writing skills
• Must also be informed in data management
• A good team player with effective communication skills and the ability to work closely with faculty, staff and external collaborators
• Good project management skills
• Entry level candidates are welcome to apply

We regret to inform 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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

10 years to 15 years

Responsibilities:

• You will be working with survey data, public datasets (e.g., census data), or experimental data.

• Responsible for cleaning data, handling missing values, filtering data, and dealing with outliers, which is essential in any research context.

• You may need to merge or join different datasets, and KNIME has nodes for combining data from multiple sources like Excel, CSV, databases, or APIs.

• Use KNIME compute basic descriptive statistics like means, medians, standard deviations, and percentiles.

• Visualize distributions, histograms, boxplots, and scatter plots to help you identify trends or anomalies in the data using Knime.

• You should correlation matrices or pair plots to examine the relationships between variables in your social research dataset.

• T-tests, ANOVA, Chi-square Tests For hypothesis testing, you can run statistical tests to compare groups or associations

• Use KNIME for linear regression, logistic regression, or multivariate analysis to study relationships between variables.

• Analyze complex survey data with many variables, factor analysis or PCA can reduce dimensionality and identify key underlying factors.

• Use KNIME for structural equation modeling (SEM), which is commonly used in social research for understanding relationships between observed and latent variables.

• Integrate geospatial data processing to visualize and analyze spatial patterns.

• Connect KNIME with GIS tools (like QGIS) to map trends and perform geospatial analysis.

• Using KNIME drag-and-drop interface for training and testing machine learning models.

• Leverage KNIME’s integration with tools like Tableau or Power BI for storytelling and sharing insights with stakeholders or a non-technical audience.

• Import survey data from CSV files or a database.

Key Skills Required:

• Building workflows using KNIME Analytics Platform

• Use KNIME Nodes For various tasks, such as data input/output, data cleaning, statistics, machine learning, etc.

• Integrates KNIME with Python and R for further analysis.

• Use KNIME’s reporting tools or integrate it with external tools for advanced reporting and dashboards.

• Additional Knowledge Areas:

• Survey Design & Sampling: Understanding how to design surveys, sample populations, and handle biases in data.

• Social Science Theories: Knowledge of theoretical frameworks that guide quantitative research in the social sciences, like social stratification, political behavior, or economics.

• Data Ethics & Privacy: Awareness of ethical considerations in social research, especially regarding sensitive data.

• Familiarity with scripting and data collection platforms WinCATI, Sensus and Forsta is must.

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

EVO Outsourcing Solutions Pte. Ltd

• RCB No. 202233837K

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 headed by Dr. Marco Vignuzzi is leading cutting-edge virology and antiviral and vaccine therapies. We are seeking a motivated and fast learner to participate in projects involving the development of RNA therapeutics.

Job Description:

• Produce and assay RNA using techniques such as in vitro transcription, qPCR, and next generation sequencing
• Perform molecular biology assays such as molecular cloning and Western blots
• Perform irological assays in cell culture for a wide variety of RNA pathogens, including chikungunya virus, Zika virus, dengue viruses, enteroviruses
• Perform meticulous recordkeeping and draft reports and presentations to collaborators
• Oversee daily laboratory activities and help manage the lab’s routine admin duties
• Help new students and postdocs settle into the lab, transfer techniques to them, and participate in their research
• Ensure safe technical practices and procedures

Job Requirements

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, or related field
• At least 3 years wet lab experience and relevant experience in molecular biology and in cell culture
• Experience with RNA techniques (RNA extraction, qPCR, next generation sequencing, northern blotting) is preferred
• General lab skills in molecular biology (cloning, PCR)
• Highly motivated and able to work independently and multitask
• Team player with good interpersonal skills
• Good spoken and written communication skills
• A strong desire to constantly learn and acquire new skills

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

Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.

About Doubao (Seed)

Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About The Team

The Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Qualifications

Minimum Qualifications

1. Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application;

5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected]

Amethyst Partners is a specialised recruitment organisation in the asset management industry and due to a team expansion, we are currently looking for Junior Researchers to perform the following:

• Assist Recruitment Consultants with effective and timely assignment delivery.
  
• To undertake executive research, and candidate management activities, and keep candidate and client information updated.
  
• Conduct researches to identify suitable candidates for each candidates including targeted market mapping, talent pooling, database searching, networking and headhunting
• Building relationships with candidates and keeping track of their career goals and progress
• Approach suitable candidates and screen against agreed competencies and criteria for each project.
  
• Capture and maintain accurate market, client and candidate information on the company’s database
• Maintain database and other ad-hoc assignments

Business Registration Number: 201824722D. Licence Number: 20C0180. EA Personnel Registration Number: R1762339

The Delta-NTU Corporate Laboratory for Advanced Robotics was jointly established by Nanyang Technological University (NTU) and Delta Electronics in June 2016, supported by A*STAR. The Lab aims to create business value through collaborative commercialization of translational research and technology development. This is a Phase 2 project.

Key Responsibilities:

• Work on a project to conduct the research on the development of Three-dimensional Simultaneous Localization and Mapping (3D-SLAM).
• Literature review of 3D-SLAM
• Simulations of a SLAM algorithm in an edge hardware platform with limited computation complexity
• Machine learning algorithms for data fusion
• Write papers on the research done during this project.

Job Requirements:

• Master degree in Electrical and Electronic Engineering from a reputable university
• Working experience in related areas
• Knowledge and experience in machine learning and robotics
• Knowledge and experience in signal processing, and robot navigation
• Good publication track record in related areas
• Proficiency in basics of programming languages such as C, Java, Matlab and Python
• Proficiency in English, both spoken and written - for research purposes

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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

10 years to 15 years

Responsibilities:

• You will be working with survey data, public datasets (e.g., census data), or experimental data.

• Responsible for cleaning data, handling missing values, filtering data, and dealing with outliers, which is essential in any research context.

• You may need to merge or join different datasets, and KNIME has nodes for combining data from multiple sources like Excel, CSV, databases, or APIs.

• Use KNIME compute basic descriptive statistics like means, medians, standard deviations, and percentiles.

• Visualize distributions, histograms, boxplots, and scatter plots to help you identify trends or anomalies in the data using Knime.

• You should correlation matrices or pair plots to examine the relationships between variables in your social research dataset.

• T-tests, ANOVA, Chi-square Tests For hypothesis testing, you can run statistical tests to compare groups or associations

• Use KNIME for linear regression, logistic regression, or multivariate analysis to study relationships between variables.

• Analyze complex survey data with many variables, factor analysis or PCA can reduce dimensionality and identify key underlying factors.

• Use KNIME for structural equation modeling (SEM), which is commonly used in social research for understanding relationships between observed and latent variables.

• Integrate geospatial data processing to visualize and analyze spatial patterns.

• Connect KNIME with GIS tools (like QGIS) to map trends and perform geospatial analysis.

• Using KNIME drag-and-drop interface for training and testing machine learning models.

• Leverage KNIME’s integration with tools like Tableau or Power BI for storytelling and sharing insights with stakeholders or a non-technical audience.

• Import survey data from CSV files or a database.

Key Skills Required:

• Building workflows using KNIME Analytics Platform

• Use KNIME Nodes For various tasks, such as data input/output, data cleaning, statistics, machine learning, etc.

• Integrates KNIME with Python and R for further analysis.

• Use KNIME’s reporting tools or integrate it with external tools for advanced reporting and dashboards.

• Additional Knowledge Areas:

• Survey Design & Sampling: Understanding how to design surveys, sample populations, and handle biases in data.

• Social Science Theories: Knowledge of theoretical frameworks that guide quantitative research in the social sciences, like social stratification, political behavior, or economics.

• Data Ethics & Privacy: Awareness of ethical considerations in social research, especially regarding sensitive data.

• Familiarity with scripting and data collection platforms WinCATI, Sensus and Forsta is must.

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

EVO Outsourcing Solutions Pte. Ltd

• RCB No. 202233837K

Job Description:

• Provide administrative support to the department including procurement, maintain and track departmental assets/ equipment
• Provide scheduling and secretarial support to the department (Clinical Research Unit) such as managing calendars of department Director
• Coordinate department meeting and minutes writing
• Provide grant and project funding administrative support
• Assist in generating reports and data
• Any Ad Hoc duties as per assigned

Requirement:

• Diploma in Business Administration/ Project Management/ Health Service Management or equivalent

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

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

** JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams. **

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Kam Xiu Ping

EA Personnel Reg No: R21101828

• The Senior Research Associate will coordinate, plan, and perform routine and non-routine activities in the cell bioassay department in accordance with pertinent guidelines and highest scientific standards. The activities include the development of cell based assays and methods, the maintenance of in vitro test systems, resource monitoring, and the execution of experiments in accordance with Good Laboratory Practices.
• This role will be part of a team where he will have to work jointly with operators having different levels of expertise. Communication, proactiveness, and self-management will be essential in order to deliver functional execution of in vitro studies on time and on budget whilst ensuring compliance with pertinent guidelines and scientific standards.
• The senior research associate will also support the in vivo department by performing clinical pathology analysis.

Responsibilities

• Implement, perform and develop experimental methods and techniques based on company needs. Ensure the established methods/techniques meet the company scientific standards, act as the primary subject matter expert in these techniques. Ensure the developed method are maintained to date by tracking advances in the field. Supervise/train staff in experimental techniques/technology systems related to the lab.
• Plan and coordinate activities on clearly defined programs, track progress in relation to timelines/ timetable. Coordinate daily work planning within Cell Bioassays team and to organize the practical aspects of additional measurements in the study. Being point of contact for study-related matters, to coordinate and participate in several study-based activities within own team and participate in resource monitoring and scheduling.
• Produce quality results within the required time frame, as well as analyze study related data/reports by applying scientific and technical principles and draw basic conclusions. Review routine data, monitor and escalate deviations. To lead in determining root cause of unusual findings and provide CAPA (Corrective and Preventive Actions).
• ·Support the in vivo department by performing clinical pathology analysis. It includes the testing of sample chemistry, hematological assessment, and various other assays.

Requirement

• Min Diploma with > 2 years' experience (eg, experience with cell biology and molecular biology methods like flow cytometry, ELISA

Up to $4.6K

office hours

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between University of Cambridge, Nanyang Technological University and National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

Who are we looking for?

We are looking to fill research positions in maritime decarbonisation modelling:

1) In the first, Computational Fluid Dynamics simulations of ammonia and methanol engines will be performed, leading to a better understanding of the pollutant-generation processes. In addition to excelling in handling turbulent combustion theory Extensive, experience in combustion CFD is necessary.

2) In the second, systems modelling of alternative fuels and application to real-world data from ship operations will be performed, to compare possible decarbonisation scenarios in view of realistic ship operations. A thorough understanding of lifecycle analysis, energy system modelling, and Techno-economic analysis is needed. The ability to program in languages such as Python programming would be a plus.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-c4t-cn14. If you have any questions, please feel free to reach out to the HR team at [email protected].

Responsibilities:

• Communication Strategy & Content Development
• Content Creation & Management
• Event Planning & Coordination
• Stakeholder Collaboration
• Campaign Monitoring & Reporting

Requirements:

• Bachelor’s degree in Communications, Marketing, Public Relations, or biomedical and sciences related field.
• 2 years of experience in healthcare communications, public relations, or a related field, preferably in a clinical or research environment.
• Excellent writing, editing, and communication skills, with an ability to simplify complex clinical information.
• Proficient in managing digital communication platforms and content management systems.
• Critical thinking and creativity to devise innovative communication strategies.
• Knowledge of healthcare innovation trends and an understanding of clinical research processes.

Please state your availability, current and expected salary in the resume.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Eddie Tang | Registration No: R1221129

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

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 Cybersecurity R&D Laboratory (NCL) is a shared national infrastructure that provides computing resources, repeatable and controllable experimentation environments, as well as application services for the cybersecurity R&D community. The infrastructure includes a cluster of 300 nodes that provides a wide range of provisioning mechanisms, security data and security services. NCL aims to provide a platform that fosters and encourages collaboration among researchers in academia, the industry as well as government bodies both locally and internationally through the sharing and validation of research outcomes. The laboratory was established in November 2015 and is funded by the National Research Foundation (NRF).

Job Description:

• Design and manage cloud-based computing system and network infrastructure
• Work on Security with AI, focusing on leveraging LLM for security applications
• Help to oversee our progress of our grants

Qualifications

• PhD in Computer Science or relevant
• Interest and experienced in looking for expertises in cloud security, applied cryptography, adversarial machine learning, etc
• Enthusiasm for problem-solving and able to work in a fast-paced environment
• Strong interpersonal skills with the ability to communicate effectively

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 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.

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.
• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.
• Write, publish and disseminate results, including give research presentations at meetings.
• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers
• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.
• Represent the research group at external meetings / seminars, either with other members of the group or alone.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory
• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

Responsibilities

• Full-time involvement in the management of studies, including performing routine and non-routine experiments under good laboratory practices. Must be able to work proactively, with excellent self autonomy, and good time management.
• To participate in several study-based activities (planning, maintenance). To assist the implementation and development of experimental methods and techniques based on the upcoming needs of the studies.
• To produce quality results within the required time frame, as well as analyze data and draw basic conclusions. To review routine data, monitor and escalate deviations. Support quality / compliance inspections and audits conducted by both internal and external parties.
• To perform qualification/validation set-up of new analytical endpoints and equipments. Able to configure complex systems.
• To manage/troubleshoot existing equipments and ensure adequate maintanence.
• Ensure the day to day laboratory operation is smooth and efficient. Foster a culture of collaboration and enable frequent technical exchange across the network. Able to train other staff in experimental techniques/technology systems related to the lab.
• To perform general administrative work such as tracking the supply of daily consumables.
• To coordinate with vendors/suppliers on procurement matters.
• Back up to the manager bioanalytical & in vitro operations to review and approve test results and assist on study planning for the Bioanalytics department in work flow optimization, resourcing, procurement etc.
• Assist and support in writing technical reports (method validation protocol and report); update standard operating procedures (SOP) and work instructions (WKIs) and data compilation.

Requirement

• Min Diploma with 3 - 4 years’ experience/ Degree with 1 - 2 years’ experience (eg, experience with chromatography methods like HPLC and GC).
• Ideally experience within a CRO, R&D unit within pharmaceutical or healthcare industries, or translational academic research organizations
• Hands-on experience on a broad range of analytical and bioanalytical platforms , i.e. LC/GC, LC-MS/MS, and other characterization tools for chemical entities.

Up to $4.6K

Perm opening

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (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:

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

Tasks may include the following:

• Conduct technical and policy reviews focusing on the global energy landscape, hydrogen economy, hydrogen technologies, and supportive policies.
• Perform techno-economic analyses on energy supply chains using mathematical tools.
• Write reports and publish articles in reputable academic journals.
• Perform administrative duties, which include organizing seminars, workshops, and conferences, along with fulfilling other responsibilities as assigned by the Head of Division or Principal Investigator.

Job Requirements

• Possess a PhD degree in energy systems modelling, engineering, or a related quantitative research field.
• Have a deep understanding of and interest in energy and environmental issues, notably the hydrogen economy, hydrogen supply chain, energy security, renewable technologies, and decarbonization strategies.
• Capable of working independently and in collaboration with team members.
• Experience in energy systems modelling, techno-economic analysis, Python programming, or life cycle analysis would be beneficial.
• Relevant practical experience in industry or government agencies within the energy and environmental sectors in Singapore would be highly valuable.
• A track record of publications in reputable journals related to energy, environment, and/or systems modeling would be an advantage.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

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 headed by Dr. Marco Vignuzzi is leading cutting-edge virology and antiviral and vaccine therapies. We are seeking a motivated and fast learner to participate in projects involving the development of RNA therapeutics.

Job Description:

• Produce and assay RNA using techniques such as in vitro transcription, qPCR, and next generation sequencing
• Perform molecular biology assays such as molecular cloning and Western blots
• Perform irological assays in cell culture for a wide variety of RNA pathogens, including chikungunya virus, Zika virus, dengue viruses, enteroviruses
• Perform meticulous recordkeeping and draft reports and presentations to collaborators
• Oversee daily laboratory activities and help manage the lab’s routine admin duties
• Help new students and postdocs settle into the lab, transfer techniques to them, and participate in their research
• Ensure safe technical practices and procedures

Job Requirements

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, or related field
• At least 6 months wet lab experience and relevant experience in molecular biology and in cell culture
• Experience with RNA techniques (RNA extraction, qPCR, next generation sequencing, northern blotting) is preferred
• General lab skills in molecular biology (cloning, PCR)
• Highly motivated and able to work independently and multitask
• Team player with good interpersonal skills
• Good spoken and written communication skills
• A strong desire to constantly learn and acquire new skills

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

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3 project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow with experience in techno-economics and object-oriented programming. The candidate would have experience in assessing engineering reports and scientific papers on novel synthesis technologies, extracting key process performance parameters. The successful candidate would also have experience in designing and performing simple experimental work in the broad area of process and reaction engineering.

What skills do you have?

Working with chemical process simulators (e.g. Aspen Plus). Coding in Python or C++. Hands-on experimental experience in building and operating chemical reactors on laboratory scale.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-techno-economicobject-oriented-for-sm3-em. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Dr Ewa Marek ([email protected]).

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, the Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between the University of Cambridge, Nanyang Technological University and the National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

The project:

In the context of the multi-partner project HYCOMBS (https://www.cares.cam.ac.uk/research/hycombs/), which is part of Singapore’s CREATE investment in Decarbonisation (https://www.nrf.gov.sg/files/Media_Release_CREATE_Decarbonisation_Challenge_with_ANNEX_A__B_final.pdf), a large number of positions have become available to research hydrogen and ammonia combustion.

The project is a collaborative effort between CARES, CNRS, NTU, NUS, NTNU (National Technical University of Norway) and Tohoku University (Japan). All the positions are held in Singapore and will normally last 2 years in the first instance, with the possibility to extend if funding is available. The successful candidate will be working under the academic supervision of one of the project’s partners depending on the particular skills and interests of the researcher. Short stays in Japan, France and Norway for working in the partner laboratories are envisaged for some of these positions. In the first instance, your application will be reviewed by CARES and re-directed to the appropriate institution and Primary Investigator.

CARES: www.cares.cam.ac.uk

Tohuku University: https://www.ifs.tohoku.ac.jp/eng/

CNRS: https://www.cnrsatcreate.cnrs.fr/

NTNU: https://www.ntnu.edu/ept

NUS: https://cde.nus.edu.sg/me/

NTU: https://www.ntu.edu.sg/mae

Who are we looking for?

We are seeking highly motivated combustion researchers to work in the following areas:

1) Kinetics: (i) Experiments with flow reactors and laminar flames. The successful applicant will be skilled in analytical combustion chemistry systems such as gas chromatography and laser detection; (ii) Development of detailed and reduced chemical mechanisms. Experience in combustion chemistry modelling is needed.

2) Laminar and turbulent flame fundamentals: (i) Experiments with laminar pulsed and turbulent swirl flames. Skills in flame rig design, laser diagnostics and optical methods for flames are needed. (ii) Modelling with combustion Computational Fluid Dynamics (DNS, LES), with experience in the fundamentals of turbulent combustion, CFD and massively-parallel computations.

3) High-pressure combustion: Experiments and simulations for reciprocating engines and gas turbines. For the experimental positions, the successful candidate must be skilled in optical diagnostics, engine combustion, swirl combustion, fluids handling and data analysis. For the modelling positions, experience in CFD of engines or gas turbine combustors is a prerequisite.

4) Detonations and ignition risk analysis with CFD. The position involves high-order CFD methods for capturing detonations and turbulent flow analysis for ignition. The successful candidate must be experienced with CFD.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D. The experimental positions need strict adherence to Health & Safety protocols and experience in developing experimental facilities at a professional level.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-hycombs. If you have any questions, please feel free to reach out to the HR team at [email protected].