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.

Job Description :

• Partial AR and AP
• AR billing and AP data entry
• Monthly AR and AP reconciliation
• Handle other day to day accounting tasks such as data entry, filing, documentation and etc
• Support admin functions such as order of office supplies
• Assist in any other adhoc assignments

Requirements :

• Minimum Nitec / O Level , with basic accounting knowledge
• Proficient in Microsoft Office
• Knowledge of MYOB/ABSS Accounting Systems will be an advantage
• Responsible, Good interpersonal and communications skills
• Willing to learn attitude

Benefits :

• 5 days week, Monday to Friday 9am to 6pm
• 14 days annual leave
• Variable Bonus
• Medical and Insurance Coverage

# Please submit your application by clicking the APPLY button or email strictly to account@rwmarine.com.sg.

## Please take note that application sent to any other of our email addresses will not be attended.

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: recruitment@chugai-pharmabody.com

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

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.

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.