The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhDin ML, NLP, speech and spoken language processing and multi-modal AI with at least 5 years of relevant experience
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering.
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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

At NUS, we are at the forefront of clean energy innovation, focusing on advanced technologies for sustainable hydrogen production. We are seeking a talented and experienced Membrane Specialist to join our team and contribute to the development of cutting-edge membrane solutions for hydrogen production and separation processes.

Key Responsibilities:

• Design, develop, and optimize membranes for hydrogen separation, purification, and production applications.
• Conduct research on new membrane materials (e.g., polymeric, ceramic, composite) and their application in hydrogen fuel cell and electrolysis systems.
• Oversee membrane testing, characterization (SEM, XRD, FTIR, etc.), and performance evaluations.
• Collaborate with R&D teams to scale up membrane technologies from lab to pilot and industrial scale.
• Provide technical insights into membrane degradation, durability, and efficiency improvements.
• Support cross-functional teams in the integration of membranes into hydrogen production units.
• Stay updated on the latest developments and innovations in membrane technology and hydrogen production.

Qualifications

• Ph.D. in Chemical Engineering, Material Science, or related fields with a focus on membrane technology.
• Proven experience (3+ years) in membrane design and development, specifically for gas separation or hydrogen-related applications.
• Strong understanding of hydrogen production technologies such as water electrolysis, methane reforming, or fuel cells.
• Proficiency in membrane characterization techniques (SEM, TEM, XRD, FTIR, etc.).
• Ability to collaborate effectively in a multidisciplinary team environment.
• Strong analytical, problem-solving, and project management skills.

Deployment

Childcare centre located inside Pasir Panjang Christ Church. Spacious, comfortable environment within a great team.

Responsibilities

• To nurture and develop the children holistically through an engaging and quality curriculum and purposeful play

• To love and make the children feel secure as part of providing the children "a home away from home".

• To take care of the well-being of the children

• To established good rapport and maintain good communications with parents.

Requirements

• Must possess diploma or degree in Early Childhood Education and L2 accreditation by ECDA

• 5 day work week

Please visit our website for details

(www.eshkolvalley.com.sg).

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 Singapore Gastric Cancer Consortium (SGCC) is a translational research group comprising clinicians and scientists working in gastric cancer research. The group aims to solve important clinical questions to improve the care of gastric cancer patients, facilitated by close interaction between clinicians and scientists, and with synergism that enables biologic discoveries in the laboratory to be validated in the clinical setting.

Our research theme, “Bringing Discoveries to Patients” was awarded the Open Fund - Large Collaborative Grant by the National Medical Research Council in 2019. This will spearhead key research projects which include molecular testing for gastric cancer prevention, personalized cancer therapy and treatment, characterization of gastric stem cells, and single cell analysis of gastric cancers.

Duties

• Work with Research Fellow/s in the conducting of clinical research projects
• Processing and molecular analysis of patient blood and tissue samples
• Perform lab-based molecular work according to strict methodologies
• Optimizing and troubleshooting new experimental protocols
• Keep meticulous records of experimental work
• Coordinate laboratory operational activities through managing laboratory and sample inventories, establishing laboratory procedures and organization of laboratory consumables
• Work with Laboratory Safety Lead to ensure laboratory safety and maintain safety documentation and procedures
• Assist Research Manager in grant reports and organizing scientific meetings

Skills

• Meticulous and attention to detail
• Proactive and able to work independently in a corporate as well as laboratory setting
• Work collaboratively with other research groups
• Critical thinking and systematic problem-solving skills
• Strong written and oral communication skills
• Keen interest in scientific literature, keeps up to date with relevant research publications
• Experience in laboratory research and molecular biology techniques will be advantageous.
• Well-organized and able to clearly summarize and present information and data obtained.

Qualifications

Bachelors in Life Sciences/ Biological Science/ Biomedical Science or related fields. Laboratory experience in molecular work (DNA/ RNA prep and protein assays, Next-Gen Sequencing, Pyrosequencing) and tissue culture preferred. Grant or report writing experience and experience of coordinating research projects also are valuable.

We regret 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

The Singapore Gastric Cancer Consortium (SGCC) is a translational research group comprising clinicians and scientists working in gastric cancer research. The group aims to solve important clinical questions to improve the care of gastric cancer patients, facilitated by close interaction between clinicians and scientists, and with synergism that enables biologic discoveries in the laboratory to be validated in the clinical setting.

Our research theme, “Bringing Discoveries to Patients” was recently awarded the Open Fund - Large Collaborative Grant by the National Medical Research Council. This will spearhead key research projects which include molecular testing for gastric cancer prevention, personalized cancer therapy and treatment, characterization of gastric stem cells, and single cell analysis of gastric cancers.

Duties

• Work with Research Fellow/s in the conducting of clinical research projects
• Processing and molecular analysis of patient blood and tissue samples
• Screening and consenting study subjects
• Optimizing and troubleshooting new experimental protocols
• Keep meticulous records of Case report form (CRF) documentation.
• Data analysis and statistical analysis of the research studies
• Coordinate laboratory operational activities through managing laboratory and sample inventories, establishing laboratory procedures and organization of laboratory consumables
• Work with Laboratory Safety Lead to ensure laboratory safety and maintain safety documentation and procedures
• Assist Research Manager in grant reports and organizing scientific meetings

Skills

• Meticulous and attention to detail
• Proactive and able to work independently in a corporate as well as laboratory setting
• Work collaboratively with other research groups
• Critical thinking and systematic problem-solving skills
• Strong written and oral communication skills
• Keen interest in scientific literature, keeps up to date with relevant research publications
• Experience in laboratory research and molecular biology techniques will be advantageous.
• Well-organized and able to clearly summarize and present information and data obtained.

Qualifications

Bachelors in Nursing / Life Sciences/ Biological Science/ Biomedical Science or related fields. Grant or report writing experience and experience of coordinating research projects also are valuable.

We regret that only shortlisted candidates will be contacted.

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering with min 5 years of relevant experience
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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.

Job Summary:

The HPC Storage Engineer will be responsible for managing the storage infrastructure within HPC environments. This role involves monitoring storage performance and optimizing through tuning and troubleshooting. Successful candidate with demonstrated experience in the HPC storage field may be considered for a Senior position.

Responsibilities:

Storage administration and optimization

• Work with Managed Services teams in managing and administering the storage infrastructure.
• Ensure storage reliability and availability within HPC system.
• Provide support on technical queries and troubleshooting storage-related issues.
• Implement best practices for storage monitoring and reporting.
• Monitor utilization rate, allocation and analyse the report for capacity planning.
• Conduct storage performance test and analysis.
• Collaborate with other teams for enhancement of storage performance and scalability.
• Develop and maintain comprehensive documentation for HPC storage infrastructure and processes.

Data management

• Create and execute a data placement strategy to optimize storage performance.
• Maintain data protection and disaster recovery strategies.
• Implement and maintain security measures to protect data integrity and prevent unauthorized access.

Designing and planning

• Assess future requirements and plan for storage expansion.
• Assist in the designing of future HPC system acquisition.
• Explore and evaluate emerging solutions in HPC storage technology.

Qualifications:

• Degree in a Computer Science, Engineering, IT or other relevant areas.
• At least 3 years of experience in managing storage infrastructure.
• Proficient in UNIX/Linux environments and command line interface (CLI).
• Good knowledge of HPC storage principles.
• Experience in managing parallel file system (Lustre, GPFS, BeeGFS).
• Good knowledge of RDMA-based interconnect (InfiniBand, RoCE).
• Demonstrate ability to analyse complex issues and develop effective solutions.
• To be considered for Senior position, candidates should have at least 5 years of experience in roles that involve the deployment of HPC storage infrastructure, covering key areas such as designing, installing, configuring, documentation and providing admin/user training.

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

• To organize and implement research plans, development of methods of research, testing and data collection, analysis and evaluation, and report writing.
• Knowledge on gas hydrates or is highly desirable
• To assist the principal supervisor in management of the lab.
• To ensure that all safety guidelines are followed in the research
• To undertake any other duties relevant to the research

Job Requirements

• Master’s Degree and above in Chemical Engineering
• Research experience on gas hydrate and their applications specifically to macro-scale experimental measurements
• To handle high pressure equipment and instruments like PID controllers.
• Knowledge on operation, calibration and analysis of gas chromatography results
• Highly efficient, good communication and oral skills
• Strong ability to work in a multidisciplinary team

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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Research Assistant in Pharmacology (PC1) Unit

Job Scope:

· Tool generation – Expression vector construction and molecular cloning, protein labelling, stable cell line development

· Drug screening – ELISA, Flow cytometry, Cell-based functional assay, Microscopy, SDS-PAGE, Western blotting, qPCR etc.

· Cell culture – Suspension cell culture and adherent cell culture, 3D cell culture models such as spheroid, tumoroids, Primary cell culture.

· Lab management

Requirements:

· Degree in Biomedical Science/Biotechnology/Molecular Biotechnology or a related field with at least 1-2 years of related working experience in either an industry or academia setting.

. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures especially mammalian cell culture and In vitro cellular assays.

· Experience in Molecular Biology, 3D cell culture, Cell engineering, Primary cell isolation, Flow cytometry, Microscopy, NGS analysis and other relevant skills will be an added advantage.

· Experience in In vivo sample handling experience is a plus.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We have an opening for a Research Fellow (Robotics) in areas related to the control of drone swarms and autonomous vehicles. Specifically, we expect the selected candidate to lead and pursue high-quality research in the broad areas of robotics, e.g., the coordination of drone swarms in complex environments, the control of autonomous vehicles in mixed traffic, etc. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a Doctoral degree in Mechanical Engineering, Electric Engineering, Computer Science, or other closely related fields.
• Research and hands-on experience in robotics (e.g., drone systems) with excellent publication record
• Good programming and analytical skills
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable
• Good technical proposal writing and presentation skills
• Able to plan and organize well and adhere to the deadline
• Able to perform research in a multidisciplinary team.
• Strong written and spoken communications and able to present results clearly.
• Open to fixed-term contract.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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 National University of Singapore invites applications for research assistant/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Centre for Sleep and Cognition, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with the Principal Investigator, lab members, and collaborators to ensure successful completion of research projects (including neuroimaging, behavioral, and digital tracking experiments), smooth operation of computing and neuroimaging equipment, and efficient management of neuroimaging database in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in all neuroimaging and behavioral experiments such as subject recruitment, behavioral testing, digital tracking, image data collection, and data analysis. He/she will also support computing server/storage administration (with support from external vendors), neuroimaging equipment maintenance, and general lab administration like website. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, neuroimage processing using automatic or semi-automatic scripts, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging softwares and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging, cognitive neuroscience, and neuropsychiatric disorders. The research assistant/associate will have the opportunity to liaise and work with other clinical collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with neuroscience/psychology/life science/engineering/computing background with strong interest to learn
2. Excellent written, oral communication skills
3. Prior programming experience in statistical analysis, medical image analysis or database management (e.g., MATLAB, shell, python) is a plus but not necessary
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

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

Interested applicants are welcome to apply with the application letter, curriculum vitae, and contacts of two-three references.

Assistant HR Manager (Operations and Learning Development)

We are seeking a dynamic and organized Assistant HR Manager (Operations and Learning Development) to join our HR team. This role is ideal for a professional who is passionate about driving operational excellence through standardized processes, while also fostering employee growth through effective learning programs. You will be instrumental in establishing Standard Operating Procedures (SOPs) across the organization and leading initiatives that promote continuous learning and development.

Key Responsibilities:

1. Operations Management & SOP Development

• Develop and implement Standard Operating Procedures (SOPs) for company-wide HR and operational processes to ensure consistency, efficiency, and compliance.
• Collaborate with department heads to map, document, and standardize business processes.
• Continuously review and update SOPs to align with best practices and organizational changes.
• Drive initiatives to improve HR operations, ensuring optimal workflows and processes across different functions within HR and other departments.
• Coordinate with cross-functional teams to identify operational inefficiencies and recommend actionable solutions.

2. Learning & Development Strategy & Execution

• Design, implement, and oversee learning and development programs that enhance employee skills, support professional growth, and align with business goals.
• Develop onboarding, training, and leadership development programs to ensure new and existing employees are well-equipped to succeed in their roles.
• Evaluate the effectiveness of training programs using metrics and employee feedback, and continuously optimize training initiatives to align with organizational needs.
• Leverage digital learning tools and the Learning Management System (LMS) to provide flexible and scalable training solutions.
• Identify learning needs in collaboration with department heads and ensure effective learning solutions are in place to bridge skill gaps.

3. HR Analytics for Operational Efficiency & Development

• Utilize HR analytics to measure the effectiveness of L&D programs, identify skill gaps, and assess the efficiency of operational processes.
• Develop data-driven insights that contribute to the continuous improvement of HR processes and learning initiatives.
• Monitor training participation and performance metrics to provide data-backed reports to senior management.

4. Stakeholder Management & Communication

• Establish strong relationships with key stakeholders across various departments to ensure effective implementation of SOPs and training programs.
• Communicate operational updates, process changes, and learning initiatives clearly and effectively to all employees.
• Work closely with senior leadership to understand strategic business objectives and develop learning solutions that align with those goals.

5. Team Management & Development

• Provide guidance and coaching to junior HR team members to build capabilities within the team.
• Foster a culture of continuous learning within the organization, encouraging staff at all levels to participate in development programs.
• Support the HR team in maintaining high performance, ensuring consistency in operations, and developing skills to meet evolving business needs.

6. Compliance and Continuous Improvement

• Ensure that all processes and SOPs comply with internal policies and regulatory requirements.
• Drive continuous improvement initiatives that enhance HR operations and employee experience.
• Conduct regular process audits to maintain high standards of compliance and operational excellence.

Qualifications:

• Bachelor’s degree in Human Resources, Business Administration, Education, or a related field.
• 5+ years of experience in HR operations, learning and development, or a related HR role.
• Experience in designing and implementing company-wide SOPs.
• Strong understanding of HR operations, learning principles, and instructional design.
• Proficiency in using Learning Management Systems (LMS) and data analysis tools.
• Excellent communication, facilitation, and interpersonal skills.
• Ability to work collaboratively with cross-functional teams and influence key stakeholders.
• Proven track record in managing training programs and driving operational improvements.

Why Join Us?

• Contribute to creating a culture of operational excellence and continuous learning.
• Be part of an inclusive and supportive HR team that values innovation and efficiency.
• Opportunities for professional development and career advancement within the company.

Apply today to make an impact in optimizing HR operations and driving employee learning and development across the organisation.

Job Description: We are seeking a dynamic and experienced professional to join our team as the Assistant Vice President of Strategic Initiatives. In this pivotal role based in Singapore, you will drive corporate strategy and lead key initiatives that propel our expansion into new businesses and regions.

Key Responsibilities:

• Develop and execute corporate strategies to achieve growth objectives.
• Identify and evaluate new business opportunities and partnerships.
• Lead cross-functional teams to implement strategic projects.
• Conduct market analysis to support regional expansion plans.
• Collaborate with senior leadership to align initiatives with company goals.

Qualifications:

• MBA or equivalent experience in strategic planning or business development.
• Proven track record in leading strategic initiatives and driving growth.
• Strong analytical, leadership, and communication skills.
• Experience in the education industry is a plus.
• Passionate about contributing to the advancement of education.

Job Description: We are looking for ambitious individuals to join our Management Trainee Program in Strategic Initiatives. This role in Singapore offers the opportunity to work on corporate strategy and key projects, including business expansion and regional growth. You will rotate through various departments to gain comprehensive exposure and be groomed as a future leader of the company.

Key Responsibilities:

• Assist in developing and implementing corporate strategies.
• Participate in strategic projects and cross-functional teams.
• Support market research and analysis for expansion initiatives.
• Collaborate with different departments to gain operational insights.
• Contribute innovative ideas to drive company growth.

Qualifications:

• MBA, bachelor, or equivalent experience in business or management.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• High motivation with a desire to grow in the education industry.
• Ability to adapt and learn quickly in a dynamic environment.

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

Research Group Overview: The Tissue Mimetics group at the Faculty of Dentistry, National University of Singapore (NUS) laboratory is primarily focused on developing next-generation tools for dental and craniofacial research. In particular, we focus on combining the expertise in stem cells, tissue engineering, microfluidics, organ-on-a-chip, 3D bioprinting, and non-invasive imaging to mimic various microphysiological features of tissues in health and diseased states and for translational regenerative applications.

Job Description: We are seeking a highly creative and self-motivated, full-time Research Fellow for a multi-disciplinary project on the fabrication of cardiac and vascular tissues using 3D bioprinting and microfluidic organ-on-chip strategies. The successful candidate will manage laboratory operations and work independently on a project involving advanced research techniques in biofabrication (3D bioprinting, microfluidics), 3D cell culture, molecular biology, 3D imaging, and image analysis. This research will be primarily conducted at the Faculty of Dentistry (NUS), and at collaborator’s labs at the Institute for Health Innovation & Technology (iHealthtech), and National Heart Research Institute Singapore (NHCS/NHRIS).

Responsibilities:

• Be proficient in 3D design, Bioink/hydrogel formulation, and 3D bioprinting of cells and tissues.
• Operate extrusion-based 3D bioprinters independently.
• Independently and collaboratively manage the optimization, development, and characterization of hydrogels, bioink formulation, 3D bioprinting, and tissue culture processes.
• Microfluidic design, fabrication, and optimization of microfluidic organ-on-a-chip devices.
• Conduct confocal microscopy and immunostaining for high-resolution imaging and detection of specific proteins in cells and tissues.
• Confident and proficient in the handling of stem cells, 3D culture, biomaterials, and variety of molecular assays, histological, and 3D imaging techniques.
• Maintain accurate laboratory records and ensure compliance with safety and ethical guidelines.
• Coordinate with multidisciplinary teams and assist in the preparation of research reports, grant proposals, and publications.
• Identify and coordinate with external vendors for resource procurement.
• Closely interact with multi-disciplinary collaborators including clinicians, biologists, and engineers.

Qualifications

• PhD degree in Bioengineering, Biomedical Sciences, Tissue Engineering, Dentistry, or related field.
• Working experience and proficiency in bioink fabrication, 3D (bio)printing, microfluidics, and/or tissue engineering.
• Proficiency in 3D design, AutoCAD, Fusion, Solidworks, COMSOL, ANSYS, or related applications.
• Strong expertise in cell culture and handling of stem cells, molecular biology, immunostaining, and confocal imaging techniques.
• Evidence of these skillsets through first-authored (preferably) and/or co-authored original research publications in the field of 3D bioprinting, microfluidics, and/or tissue engineering.
• Strong organisational, literature review, administrative and problem-solving skills.
• Be proficient in the preparation of research reports and publications.
• Highly self-motivated, ability to work both as part of a team and independently with excellent presentation and communication skills (both written and verbal in English).

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

Research Assistant/Associate Policy Analyst – Population Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. The rapid population ageing in Singapore calls for innovative solutions. We aim to assess the impact of health promotion programmes (e.g. urban care farming, cognition training, etc) on the health and health-related behaviours of participants. This project will involve recruitment, assessment, and analysis of the research data. The candidate will also be working on models in policy evaluation. This is a full-time position based in Singapore.

Duties may include but are not limited to: (1) provide programming support to a research project (2) assist with recruitment and data analyses; (3) manage large complex databases; (4) conduct literature reviews (5) contribute to the development of scientific papers and the dissemination of the study findings.

The appointed candidate should: (1) Hold at least a bachelor degree (2) be proficient in Stata or R and (3) have experience in statistics, mathematics, econometrics, computer science, quantitative social science, public health, epidemiology or related field. Experience with C++ is preferred but not required.

The ideal candidate should demonstrate the ability to query large data sets and have excellent knowledge of quantitative methods in applied health and/or social sciences. Fluency in English, as well as demonstrably good writing and analytic skills are essential. Fluency in English is required as the candidate will deal with English-speaking stakeholders, such as conducting the research and meetings. The role will suit someone who enjoys problem-solving.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following during job application:

1. Cover note introducing themselves (no more than 500 words);
2. A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3. A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior/ Data & Machine Learning Engineer is a hybrid role focusing on developing our modern Lakehouse including pipeline development, and the deployment of machine learning models.

This position combines the responsibilities of a Data Engineer and Machine Learning Engineer, ensuring robust data pipelines and scalable deployment of ML models.

The role involves building data ingestion and transformation processes, deploying machine learning models, and working with DevOps and CI/CD for automated deployments and monitoring.

Collaborating with Business Analysts to ensure business requirements are translated into data solutions.

Working with Data Analysts to deliver accurate and reliable datasets that power impactful analytics and dashboards.

Partnering with other Data Engineers and Analytics teams (e.g., Quantitative Research team) to support advanced analytics and provide datasets for reporting and insights.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and translate this into technical analytical solutions.

Responsibilities

• Design and maintain data pipelines: Design, build, automate, and optimize ETL/ELT pipelines to support data flow, transformation, and availability across the Lakehouse platform.

• Collaborate on data storage and solutions: Partner with analysts to create scalable storage solutions, optimizing data structures for both analytics and ML applications.

• Implement data quality and governance standards: Establish monitoring and enforce data quality checks, ensuring data consistency, reliability, and compliance.

• Optimize and maintain model performance: Continuously monitor deployed models for performance, retraining or adjusting them as needed to ensure sustained accuracy.

• Deploy and monitor machine learning models: Design and implement CI/CD pipelines for model deployment, ensuring efficient and reliable delivery of ML models.

• Mentor junior team members: Guide and foster the professional development of junior data engineers, enabling their contribution to the team and ownership of project deliveries.

Expertise:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.

• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.

• Data Pipeline Development Skills: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.

• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.

• Python & Model Deployment Proficiency: Expertise in Python for deploying models and developing APIs for serving predictions.

• Spark & Azure Databricks: Skilled in using Spark on Databricks for processing large-scale datasets and supporting machine learning workflows.

Knowledge of:

• CI/CD Pipeline Creation (incl. for ML Models): Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines and machine learning models using GitHub and GitHub Actions with Databricks.

• Monitoring & Model Maintenance: Ability to set up monitoring tools for models, track metrics (accuracy, latency), and maintain model performance.

• IaC for Infrastructure Automation: Experience in automating cloud infrastructure management for consistent deployment and scaling using Infrastructure as Code tools like Terraform.

• Power BI Integration: Basic understanding of Power BI for creating visualizations of model performance and metrics for stakeholders.

• Agile Methodologies in Data Engineering: Understanding of agile frameworks to work within iterative sprints and collaborate with cross-functional teams

Experience:

• At least 3 Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.

• 1 Year in Machine Learning Engineering: Track record in managing the lifecycle of machine learning models, including deployment, monitoring, and retraining.

• Business & Data Transformation: Experience working in supporting business transformation and process improvement into Data-Driven organizations and systems.

• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• 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

One postdoc position is available at the Surface and Interface Lab in Prof. CHEN WEI’s group, National University of Singapore. The successful candidate will work with Prof CHEN Wei on NAP-XPS investigation for interface engineered 2D materials under a project on NRF Investigatorship project "Interface Engineered Ferroelectric 2D Materials for Artificial Synapses and Neuromorphic Computing”.

The project focuses on the interface engineering for 2D materials for various applications, including neuromorphic computing and electrocatalysis, with particular emphasis on NAP-XPS technique. The selected candidate will work together with a team comprising experts in interfacial analysis about 2D materials and reaction mechanism study using home-made interface characterization tools.

Qualifications / Discipline:

• PhD in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish at a few papers on top journals.
• Skills:
  Excellent English writing and communication skill, team management skill (help PI to lead a small research team with 1-2 master students), expert in 2D materials and NAP-XPS, structural characterizations using TEM/SEM/AFM/XRD, surface science techniques of XPS/UPS.
• Experience:
  The candidate shall have extensive experience in UHV surface science, particularly NAP-XPS technique, interfacial analysis and device applications of 2D materials.

Responsibilities

· To perform audit in any capacity in conformance with the requirements of the specified Quality/ Environmental / Food Safety /Safety and/ or any other Management Systems that BV Certification offers ( As appropriate)

· Conduct public-run or in-house training for customers of specified Quality/ Environmental/ Food Safety/ Safety/and/or any other Management Systems

· To assimilate, understand and operate the BV Singapore Quality Management System in all activities relevant to the post

· To control the overall performance of audit activities, including any planning, review and the control of the other members of the audit team

· Authority over whatever decisions are necessary during the audits and to recommend the presentation or otherwise of a certificate of approval.

· To decide upon evidence gained during Audits whether or not certification should be granted or allowed to continue.

· To represent BV Singapore, where necessary, to potential clients in conjunction with other responsible personnel.

· To assist in the training of other Auditors and Lead Auditors, either during planned audits or during other training functions.

· To maintain all current memberships, competency and registrations applicable to the post.

· To maintain continuous professional development in support to future development of schemes for certification

· Assist in any other task assigned such as internal audits, accreditation maintenance, TQR related activities and Technical file reviews

· Support all technical activities in maintaining accreditations

Requirements :

· Bachelor Degree in relevant discipline

· Familiar with internal/certification audits

· Possess auditing experience and/or a Certified Lead Auditor is an advantage

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 Summary

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE) – NTU. This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

Job Description

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Requirements

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.