You will play a pivotal role in the Heart Protection theme of the National Heart Research Institute of Singapore (NHRIS) at the National Heart Centre of Singapore (NHCS). Your responsibilities will include:

· Leading, executing and managing a public-private partnership programme.

· Initiating and coordinating key processes of the programme in collaboration with Principal Investigators.

· Providing valuable intellectual contributions and strategic insights for the overall programme and its projects.

· Engaging and managing key stakeholders, both internal and external, across hospitals, research institutions, and industry partners.

· Overseeing administrative tasks such as facilitating meetings, managing agreements, generating reports, and budgeting to ensure the smooth operation of the programme

Job Requirements

- Degree in Science, Health Science or its equivalent with a strong background in molecular and cell biology

- Minimum 1 - 2 years’ relevant work experience in healthcare or research setting

- Experience in managing budgets and supervising junior staff

- Relevant project management certification and familiarity with A*STAR reporting requirements would be an advantage

- Demonstrated project management experience, preferably in laboratory and finance management

- Experience in preparing and submitting grant proposals, including knowledge of grant variations, submissions, and reporting

- Able to work independently, coupled with effective problem-solving and organisational skills

- A capable leader who can guide the team, monitor progress, supervise, and manage collaborative research activities

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.

You will play a pivotal role in the Heart Protection theme of the National Heart Research Institute of Singapore (NHRIS) at the National Heart Centre of Singapore (NHCS). Your responsibilities will include:

· Leading, executing and managing a public-private partnership programme.

· Initiating and coordinating key processes of the programme in collaboration with Principal Investigators.

· Providing valuable intellectual contributions and strategic insights for the overall programme and its projects.

· Engaging and managing key stakeholders, both internal and external, across hospitals, research institutions, and industry partners.

· Overseeing administrative tasks such as facilitating meetings, managing agreements, generating reports, and budgeting to ensure the smooth operation of the programme

Job Requirements

- Degree in Science, Health Science or its equivalent with a strong background in molecular and cell biology

- Minimum 1 - 2 years’ relevant work experience in healthcare or research setting

- Experience in managing budgets and supervising junior staff

- Relevant project management certification and familiarity with A*STAR reporting requirements would be an advantage

- Demonstrated project management experience, preferably in laboratory and finance management

- Experience in preparing and submitting grant proposals, including knowledge of grant variations, submissions, and reporting

- Able to work independently, coupled with effective problem-solving and organisational skills

- A capable leader who can guide the team, monitor progress, supervise, and manage collaborative research activities

The teleco technology security team is committed to conducting cutting-edge research on teleco technology and future ICT network trustworthiness. We’re seeking a (senior) researcher on teleco technology integrated network, terminal and services security and privacy. The research fields cover cryptography, privacy protection technology, risk prediction, threat analysis and response. The research objects include, security protocol and capability for network, security of satellite ground convergence communication network, terminal and smart card security, distributed ledger, AI security etc.

Responsibilities

This role is to deliver algorithms, prototypes/simulations, patents and contributions to standards.

Research on teleco technology network communication protocols and functions basing on new security and privacy technologies to support the teleco technology security architecture design.

• Identify the opportunities of applied cryptographic algorithms for teleco technology scenarios and capabilities, and design the adaptive crypto schemes, to satisfy the quantum-safe communication, privacy computing, hyper reliable and low-latency communication etc.
• Design the adaptive consensus mechanism and smart contract solutions for teleco technology native distributed ledger schemes, including protocols, functions, services and capabilities of terminal sides, radio access network and core network with integration of satellites, short-distance communication network.
• Design teleco technology AI adaptive security and trust solutions and build up the relative security detection schemes/methodology.
• Develop/simulate new stacks for teleco technology network communication basing on teleco technology protocols.
• Write proposals for standardization bodies.
• Collect, analyze and deliver the survey reports on emerging security and privacy technologies.

Desired Skills

• New protocol design or protocol reconstruction experience in one or more of the following network protocols, teleco technology, Wi-Fi, Satellite, and TCP/IP/UDP.
• Research experience in one or more of the fields, cryptography, privacy computing, trusted computing, privacy preserving, blockchain, smart card, AL, and vulnerability analysis etc.
• Experience in standard development is a plus.
• Experience in NFV/SDN/EC is a plus.

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

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

Job Title: R&D Engineer - Electrolyte (Battery Material Research Division)

Location: NTU-Durapower Advance Lithium Battery Joint Lab #02-01, 1 Cleantech Loop, Singapore 637141

Overview:

We are seeking dedicated R&D Engineers specializing in electrolyte development to join our dynamic Battery Material Research Division. This role focuses on advancing high silicon-based projects, optimizing electrolytes for high-voltage, high-power, and high-safety applications, particularly in the realm of solid-state battery technology.

Key Responsibilities:

· Electrolyte Formulation: Lead and contribute to the development and optimization of electrolyte formulations tailored for high silicon-based battery projects, emphasizing enhanced performance, safety, and stability.

· Integration of Silicon Anodes: Collaborate within multidisciplinary teams to effectively integrate high-capacity silicon anodes into battery systems, addressing challenges related to volume expansion, cycling stability, and interface engineering.

· Experimental Design and Analysis: Design and execute experiments using coin and pouch cell configurations to evaluate and iterate on electrolyte performance. Analyze data to inform the enhancement of battery characteristics.

· Collaborative Research Initiatives: Work closely with cross-functional teams, including materials scientists, physicists, and mechanical engineers, to drive innovation in battery technology. Contribute actively to the advancement of solid-state battery research.

· Documentation and Reporting: Maintain meticulous records of experimental procedures, results, and analysis. Prepare technical reports and presentations contributing to scientific publications or patents.

Requirements:

· Bachelor's degree or higher in Material Science, Physics, Mechanical Engineering, or related fields.

· Proficiency in electrolyte chemistry and its significance in battery performance.

· Strong grasp of battery materials, with a focus on high silicon-based projects.

· Prior experience or demonstrable skills in experimental design and hands-on work with coin or pouch cell fabrication and testing.

Preferred Skills:

· Prior exposure in Project & R&D laboratory setting

· Experience or exposure to solid-state battery technology and solid electrolytes.

· Familiarity with software tools for data analysis and simulation in battery research.

· Any prior experience in industrial R&D, especially in battery or energy storage-related projects, would be advantageous.

· Knowledge or exposure to characterization techniques (e.g., impedance spectroscopy, SEM, TEM, X-ray techniques) is advantageous but not mandatory.

This role offers an exciting opportunity to contribute to cutting-edge research in battery materials, particularly in harnessing the potential of high silicon-based projects and advancing the development of next-generation solid-state batteries. Join us in shaping the future of energy storage technology!

The Nanyang Environment & Water Research Institute (NEWRI) invites applications for the position of Research Fellow to participate in an industrially funded research project on identifying chemicals released into the environment from industrial processes. The position requires in-depth practical experience in modern chemical analytical instrumentation, particularly tandem methods including liquid/gas chromatography - mass spectrometry. Experience in targeted and non-targeted analysis of trace levels of chemicals is essential.

Key Responsibilities:

• Support research work on water and environmental sample analysis using various high-end analytical instruments for research including Agilent 6550/6560 LC-QTOF, 7010B GC-QQQ, LC-QQQ with online SPE, and 8900 GC/LC-ICP-QQQ.
• Develop an integrated workflow for the identification and toxicity assessment of water disinfection byproducts using ion-mobility high-resolution mass spectrometry (IM-HRMS) and cell analysis solutions (RTCA and Seahorse).
• Compare the use of novel cell analysis solutions for toxicity assessment (RTCA and Seahorse) with traditional approaches used in the environmental market.
• Clearly document the experimental work performed and sample information.
• Assist in preparing presentations and reporting data for the work done using Microsoft Office Suites.
• Support laboratory procurement, inventory, maintenance, and housekeeping.
• Assist in daily operational, safety, administrative, and logistics duties related to the research activities.

Job Requirements:

• PhD in Analytical Chemistry, Environmental Chemistry or a related field that uses analytical instrumentation.
• Minimum 4 years of working experience in a research environment (including PhD studies).
• Proven expertise in liquid chromatography – mass spectrometry.
• Experience on state-of-the-art instrumentation including LC-QQQ and LC-QTOF instruments.
• Knowledge and experience on common analytical instruments (e.g. fluorescence microscopes, real-time PCR, multi-mode readers, cell analyzer).
• Preferred experience in cell-based assays in microplate formats and with absorbance/fluorescence read-out (e.g. Reporter cell assays).
• Experience in analytical library preparation is preferred.
• Meticulous, proactive, organized & able to work independently according to plans.
• Good communication skills & team player.

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

Responsibilities:

• Provides assistance to the research team

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

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

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

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

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

COMPANY DESCRIPTION

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

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

RESPONSIBILITIES

The candidate will be responsible for conducting research on analyzing and improving the quality of the LLM generated code. Successful candidate will be part of an active research team led by Prof Sun Jun from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Survey existing approaches on evaluating and improving the quality of LLM generated code
• Evaluate the quality of LLM generated code objectively using multiple metrics, particularly regarding soundness
• Propose approaches for improving the code generation based on consistency
• Implement the proposed approach and experiment it with state-of-the-art LLMs
• Evaluate the effectiveness of the proposed approach and write a paper

• PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 4 years of relevant research experience in program analysis
• Basic knowledge/Proficiency in programming software/languages such as Python and Java will be positively considered/ is required
• Demonstrated experience and know-how on LLMs
• Experience with at least one programming software/language, such as Python is preferred
• Excellent working knowledge of AI and Machine Learning
• Good analytical, technical and problem-solving skills
• Applicants with research publications in the area of formal methods, software engineering, cyber-security and LLM area will be advantageous
• Self-motivated individuals who can work independently and collaboratively with team members

#LI-JN2

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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:

Introduction

The National University of Singapore Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join us as a Research Fellow in Communication, Journalism, and Related programs under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”.

Job Description

As a Research Fellow in Communication, Journalism, and Related programs with CTIC, you have demonstrated prior research experience, so you will be tasked with supporting the planning and execution of a research project under the CTIC Digital Resilience research grant. You will work closely with the Principal Investigator on a research problem related to news on social media.
RAs with a communication research background will be tasked to focus on human evaluation and news consumption (Communication research).
Ras with a computer science or related background will be tasked to focus on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics).
You will be handling and contributing to research and innovative findings in a team, leading to publications in top-tier conferences/journals as well as exciting real-world implementations. The level of responsibility and independence entrusted would be commensurate with prior experience and academic qualifications.

Job Responsibilities

As a Research Fellow with CTIC, you will have the following duties:

Research:
• Plan and lead literature review efforts
• Plan and draft submissions for conferences and journals based on findings.
• Plan and write op-eds for university blogs and popular media.
• Comm Research RAs:
o Plan and conduct experiments on human perception and consumption of online news.
o Collect data and analyze it using tools like SPSS, R, and Excel
• CS Research RAs:
o Plan and conduct experiments on the modeling of different facets of news and news quality
o Train models, finetune LLMs, collect data and analyze it
• Write op-eds for university blogs and popular media.

Coordination:
• Plan and oversee participant recruitment and logistics for survey experiments
• Plan, manage and maintain IRB documentation.

Each research paper will have the following phases to it:
• Phase 1 – Literature reviews
• Phase 2 – CS research design, or Social Science research design, including IRB applications.
• Phase 3 – Data collection and pre-processing.
• Phase 4 – Data analysis and result tabulation.
• Phase 5 – Research communication and writing of papers.

Qualifications

• Minimum Master’s Degree in Computer Science or Communications (or in any other closely-related field).
• Minimum 2 years of relevant research experience with publications, in one or more of the following areas:
o Experience required for Computer Science degree holders
- Natural language processing, machine learning and/or knowledge representation and reasoning.
- Prior first- or second-author publications and/or technical reports or theses
o Experience required for Communications degree holders
- Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.)
- Running standard statistical tests (e.g., using SPSS or SATS or R, for regression, ANOVA, etc.)
- Prior first- or second-author publications and/or technical reports or theses

• A good team player with effective communication skills and the ability to work closely with faculty, staff, students and external collaborators.
• Excellent written and verbal communication skills.

• Proactive problem-solving skills and a forward-thinking approach.

• Demonstrated ability to manage time and data efficiently.

• Proven track record of consistently meeting deadlines and following up on tasks.

Please note that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• At least 5 years of relevant experience
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

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

• Catalysts Synthesis
• Single Atom Catalysis
• Laser Scanning Ablation
• Polymer Synthesis
• Biomaterials Synthesis and Degradation
• Recycling and upcycling of polymers
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, or chemical engineering.
• Ample research experience in catalyst design and synthesis (particularly single atom catalysts and metal oxide catalysts), high entropy nanomaterials
• Ample research experience in polymer synthesis (particularly ATRP, RAFT and ROMP), biomaterials synthesis, and recycling and upcycling of polymers and biomaterials
• Solid background/experience in polymeric materials and polymer recycling and upcycling.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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

• Industry/ Organization Type: Manufacturing
• Position Title: Logistics Assistant/Warehouse Assistant
• Working Location: Ang Mo Kio
• Working Hours: 5 days (9.00 am – 6.00 pm)
• Salary Package: Basic $3,000 + AWS + Performance Bonus
• Duration: 2-Year Contract (Renewable)

Key Responsibilities

• Independently carry out standardized operations as per SOP and 6S standards, and guide the team to meet order deadlines and ensure timely deliveries.
• Address issues in the delivery process, report unresolved problems promptly, and seek solutions to maintain order flow.
• Ensure timely completion of all warehouse orders and deliveries, understand operational requirements, regularly summarise and categorize delivery data, including abnormal orders, and provide timely feedback.

APPLY NOW!!!

• NITEC or higher, preferably in logistics or supply chain management.
• 1-year experience in warehouse operations is preferable.
• Proficient in office software, and familiar with warehouse entry and exit processes and basic computer operations.
• Good teamwork and communication skills, good integrity, attention to detail, good professional ethics, good organizational and coordination abilities, initiative, and responsibility.
• Positive attitude, eager to learn, and willing to follow leadership directions.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #67138 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

• Apply latest technology implementation to improve operations in own work areas
• Apply organisational policies to ensure deployment and tracking of products meet requirements
• Assist in audit of documentation and contract terms required for trade transactions
• Assist in preparation of contracts and documentation for trade transactions
• Collect data to assess performance of key operations activities in the organisation
• Assist with the management of daily operations, including coordinating with various departments to ensure smooth operations
• Assist with the implementation of new policies and procedures to improve operations
• Maintain records of all business activities, including financial records, inventory, and customer data
• Develop and implement operational strategies to improve efficiency and productivity
• Collaborate with other team members to identify and resolve any issues or concerns
• Respond to customer inquiries and complaints in a timely and professional manner
• Assist with the management of vendor relationships, including negotiating contracts and managing delivery schedules
• Provide support to the operations manager as needed
• Assisting the store manager in all areas of daily business operations, human resources, customer service and merchandising.
• Coordinating, monitoring and reporting on daily operations.
• Recruiting, training and supervising employees.
• Managing employee schedules, conducting performance reviews and enforcing disciplinary actions.
• Monitoring and maintaining suitable store inventory levels.
• Assisting with the development of new sales and recruitment strategies.
• Ensuring the store environment complies with health and safety regulations.
• Maintaining a clean, organized and aesthetically pleasing store front.
• Resolving customer complaints and concerns in a timely manner.
• Must need to work on weekends and Public holidays

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 the position of Research Fellow in the Department of Information Systems and Analytics, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of emerging technologies for healthcare.

Key responsibilities:

• Familiarize with the research objectives and methodologies
• Conduct an in-depth literature review to identify gaps and opportunities in related work
• Initiate data collection and preprocessing for large-scale datasets from diverse domains
• Design, implement, and validate advanced models to address core research questions
• Develop initial drafts of research manuscripts based on findings

Qualifications

• A PhD degree in the relevant area (or be on track to acquiring one before starting as a Fellow)
• Have substantial experience in research.

• Apply latest technology implementation to improve operations in own work areas
• Apply organisational policies to ensure deployment and tracking of products meet requirements
• Assist in audit of documentation and contract terms required for trade transactions
• Assist in preparation of contracts and documentation for trade transactions
• Collect data to assess performance of key operations activities in the organisation
• Assist with the management of daily operations, including coordinating with various departments to ensure smooth operations
• Assist with the implementation of new policies and procedures to improve operations
• Maintain records of all business activities, including financial records, inventory, and customer data
• Develop and implement operational strategies to improve efficiency and productivity
• Collaborate with other team members to identify and resolve any issues or concerns
• Respond to customer inquiries and complaints in a timely and professional manner
• Assist with the management of vendor relationships, including negotiating contracts and managing delivery schedules
• Provide support to the operations manager as needed
• Assisting the store manager in all areas of daily business operations, human resources, customer service and merchandising.
• Coordinating, monitoring and reporting on daily operations.
• Recruiting, training and supervising employees.
• Managing employee schedules, conducting performance reviews and enforcing disciplinary actions.
• Monitoring and maintaining suitable store inventory levels.
• Assisting with the development of new sales and recruitment strategies.
• Ensuring the store environment complies with health and safety regulations.
• Maintaining a clean, organized and aesthetically pleasing store front.
• Resolving customer complaints and concerns in a timely manner.
• Must need to work on weekends and Public holidays

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Logistics Assistant/Warehouse Assistant
• Working Location: Ang Mo Kio
• Working Hours: 5 days (9.00 am – 6.00 pm)
• Salary Package: Basic $3,000 + AWS + Performance Bonus
• Duration: 2-Year Contract (Renewable)

Key Responsibilities

• Independently carry out standardized operations as per SOP and 6S standards, and guide the team to meet order deadlines and ensure timely deliveries.
• Address issues in the delivery process, report unresolved problems promptly, and seek solutions to maintain order flow.
• Ensure timely completion of all warehouse orders and deliveries, understand operational requirements, regularly summarise and categorize delivery data, including abnormal orders, and provide timely feedback.

APPLY NOW!!!

• NITEC or higher, preferably in logistics or supply chain management.
• 1-year experience in warehouse operations is preferable.
• Proficient in office software, and familiar with warehouse entry and exit processes and basic computer operations.
• Good teamwork and communication skills, good integrity, attention to detail, good professional ethics, good organizational and coordination abilities, initiative, and responsibility.
• Positive attitude, eager to learn, and willing to follow leadership directions.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #67138 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641