DxD Hub QARA Team is seeking candidate to join the QARA team to support QMS implementation in design and development of software as medical device.

Candidate will receive training in the following areas:

• Understanding concept of ISO 13485:2016 standard and the impact of the requirements on lab operations.
• Management of Change.
• Management of deviation and nonconformity.
• CAPA and root cause analysis.
• Key concepts in IEC 62304/ISO 14971/IEC 62366.
• Software life cycle.
• Software safety classification.
• Conducting risk assessment and usability engineering study.
• Documentation requirements in software design and development .

Candidate will be supporting the QA and lab operations team in the following:

• Provide QA support to the software development team in their design and development activities.
• Participate in audit, when applicable.
• Raise NCR, conduct CAPA process.
• Draft/review software validation protocol/report .
• Draft/review project document.
• Other QA operations role, for example, drafting and reviewing SOP, material inspection.
• Assist in cross division work on ad hoc basis.

Job Requirements:

• Bachelor’s degree in Science or Engineering. Candidates with no experience may apply.
• Basic knowledge in programming.
• Working knowledge in Microsoft office.
• Good communication and presentation skill.
• Individual who is organized, highly motivated and results driven.
• Possesses intellectual agility and a strong team player.

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 candidates to join the fusion-energy effort in the newly formed Future Energy Acceleration & Translation (FEAT) Programme, A*STAR. FEAT's plasma physics team focuses primarily on plasma diagnostics, microwave and radiofrequency (RF) heating and current drive (H&CD), and exhaust, with an emphasis on solving the challenges faced by future fusion energy systems. The new hires will be expected to contribute to, and potentially lead, research in magnetic confinement fusion. This includes analytical, computational, and experimental approaches, with the particular emphasis dependent on one's interests and skill set. While the new hires will begin by working on existing projects, participation in grant calls as a principal investigator will be highly encouraged.

We are looking to fill several positions in:

• Plasma diagnostics, including experimental, computational, and AI approaches.
• Theory and simulation of microwave and RF H&CD.
• Theory and simulation of plasma-material interactions, including edge turbulence and transport, sheaths, and sheath-edge coupling.

The key scope of work includes:

• Understanding the physics of fusion plasmas, exhaust, plasma diagnostics, and/or RF H&CD.
• Publishing peer-reviewed papers.
• Writing grants and developing the direction of fusion research in FEAT.
• Supporting local and international collaborators in fusion research.
• Supervising students and interns (optional).

Job Requirements:

• PhD in Physics, Plasma Physics, or equivalent, with a background in magnetic confinement fusion, such as in plasma physics and/or engineering.
• Deep knowledge in at least one of the followings:
  1. Plasma diagnostics (including hardware experience). Candidates with an experimental inclination will have the opportunity to travel to international collaborators' experiments for extended periods.
  2. Theoretical plasma physics (such as plasma waves, turbulent transport).
  3. Computational plasma physics (such as full-wave, beam tracing, fluid dynamics, gyrokinetics).
• Proficiency in programming languagues such as, but not limited to, Python, C/C++, and Julia.
• Good interpersonal and communication skills both oral and written, ability to adapt and work effectively as a member of a team.
• Resourcefulness and self-motivation with a high degree of professional integrity

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

A*STAR Infectious Diseases Labs (A*STAR IDL) is seeking for a Principal Scientist to join us in our mission to be a leading centre of infectious diseases research. A*STAR IDL aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description:

• Leads conceptual and technical integration of various research studies to provide leading edge solutions in antimicrobial resistance (AMR) research and development
• Conceptualize and create new technologies, patents and publications
• Review and manage operating budget of grants and team
• Establish collaborations, develop scientific proposals and ensure timely achievement of project milestones
• Manage a team and provide scientific and career mentorship to researchers and students

Job Requirements:

• PhD in Biomedical Sciences, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• 4 years of post-PhD relevant experience
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Strong publication record
• Highly motivated and ability to develop strong research ideas to secure grant and funding
• Strong analytical, technical and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication skills

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

Job Description :

We are looking for candidates to join the fusion-energy effort in the newly formed Future Energy Acceleration & Translation (FEAT) Programme, A*STAR. FEAT's plasma physics team focuses primarily on plasma diagnostics, microwave and radiofrequency (RF) heating and current drive (H&CD), and exhaust, with an emphasis on solving the challenges faced by future fusion energy systems. The new hires will be expected to contribute to, and potentially lead, research in magnetic confinement fusion. This includes analytical, computational, and experimental approaches, with the particular emphasis dependent on one's interests and skill set. While the new hires will begin by working on existing projects, participation in grant calls as a principal investigator will be highly encouraged.

We are looking to fill several positions in:

• Plasma diagnostics, including experimental, computational, and AI approaches.
• Theory and simulation of microwave and RF H&CD.
• Theory and simulation of plasma-material interactions, including edge turbulence and transport, sheaths, and sheath-edge coupling.

The key scope of work includes:

• Understanding the physics of fusion plasmas, exhaust, plasma diagnostics, and/or RF H&CD.
• Publishing peer-reviewed papers.
• Writing grants and developing the direction of fusion research in FEAT.
• Supporting local and international collaborators in fusion research.
• Supervising students and interns (optional).

Job Requirements:

• PhD in Physics, Plasma Physics, or equivalent, with a background in magnetic confinement fusion, such as in plasma physics and/or engineering with at least 5 years of relevant experience.
• Deep knowledge in at least one of the followings:
  1. Plasma diagnostics (including hardware experience). Candidates with an experimental inclination will have the opportunity to travel to international collaborators' experiments for extended periods.
  2. Theoretical plasma physics (such as plasma waves, turbulent transport).
  3. Computational plasma physics (such as full-wave, beam tracing, fluid dynamics, gyrokinetics).
• Proficiency in programming languagues such as, but not limited to, Python, C/C++, and Julia.
• Good interpersonal and communication skills both oral and written, ability to adapt and work effectively as a member of a team.
• Resourcefulness and self-motivation with a high degree of professional integrity

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

A Scientist position is available at the Hair & Pigmentation Development Laboratory within A*STAR Skin Research Labs, a partner in the Skin Research Institute of Singapore. This candidate will become part of our research group to elucidate mechanisms regulating hair morphogenesis, growth and regeneration. This project will take up 100% of his/her time. The research fellow will lead the project and oversee a team composed of a research officer and a student.

Job Responsibilities:

• Cell culture of primary skin cells
• 2D and 3D co-culture models of hair follicle cell
• Prospective isolation of human and mouse hair follicle cells
• Whole and spatial transcriptome analysis
• Hair induction mouse models

Job Requirements:

• Degree in Biology, Bioengineering, Life Sciences or equivalent
• Advanced cell culture and molecular techniques
• Experienced with 2D and 3D skin organotypic assays
• Experienced with mouse in-vivo models
• Experienced with RNA, single-cell and spatial transcriptomics analyses
• Excellent communication (verbal and written) and presentation skills
• Highly motivated, passionate about science, committed to laboratory work and able to work flexible hours, as required by experimental planning

Job Title: Senior Food Hygiene Officer (FHO) – (Catering Company) (ID7155)
Location: Clementi
Working Hours: Mon to Fri 9am-6.30pm
Salary: $4000-$5000
*Benefits: AL 12days, Performance Bonus

Job Description:
The Food Hygiene Officer ensures that all food safety and hygiene practices comply with local regulations and company standards. This role focuses on monitoring kitchen operations, ensuring hygiene protocols are followed, and implementing corrective actions to maintain a high standard of food safety.

Responsibilities:
• Lead the development and implementation of comprehensive hygiene and safety protocols, ensuring compliance with regulatory standards set by SFA, MUIS, MOM, JTC and other relevant authorities.
• Conduct regular inspections and audits of facilities, identifying areas for improvement and implementing corrective actions to maintain cleanliness and hygiene standards.
• Oversee the training and development of staff members on proper sanitation practices, including food handling, storage, and waste management.
• Collaborate with cross-functional teams to develop and execute crisis management plans, ensuring preparedness for emergencies such as foodborne illness outbreaks or facility-related incidents.
• Manage relationships with vendors and suppliers to ensure the quality and safety of food ingredients and equipment.
• Spearhead initiatives to optimize facility operations, including waste reduction strategies, energy efficiency measures, and cost-saving initiatives.
• Act as the primary point of contact for regulatory inspections and audits by SFA, MUIS, HACCP and ISO, maintaining thorough documentation and records to demonstrate compliance with hygiene standards.
• Analyze data and trends related to facility and food hygiene metrics, providing insights and recommendations for continuous improvement.

Requirements:
• Singaporean or PR only.
• Diploma or certification in Food Hygiene or related field.
• Familiarity with Singapore food safety laws and guidelines.
• Proven experience in food safety or catering operations.
• Excellent organizational and communication skills.
• Attention to detail and ability to manage multiple tasks

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.

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.

Programme Officer (Part-Time)

Are you passionate about making a difference in the lives of children and driving impactful programmes? Join us at Chen Su Lan Methodist Children’s Home as a Programme Officer and play a key role in shaping our initiatives and ensuring they align with our vision and strategic goals.

Key Responsibilities

1) Home’s Programmes

• Assist in coordinating and reviewing programmes and services within the Home.
• Oversee programme plans and timelines to ensure milestones and goals are met.
• Collaborate with stakeholders to align programme efforts with strategic priorities.
• Monitor and report on programme performance metrics, addressing challenges and celebrating achievements.
• Facilitate communication and collaboration for seamless initiative execution.

2) Secretariat for Subcommittees

Act as Secretariat for the Programmes Subcommittee and Audit Subcommittee, responsible for:

• Coordinating meetings and taking minutes.
• Liaising between subcommittees, stakeholders, and the Management Committee.
• Reviewing and documenting compliance with regulatory requirements.
• Ensuring confidentiality.

3) Data Protection Officer (PDPA)

Serve as the Data Protection Officer (DPO) responsible for:

• Ensuring compliance with the Personal Data Protection Act (PDPA).
• Liaising with the PDPC on data protection matters.

4) Other Duties

• Actively collaborate with internal stakeholders to deliver holistic outcomes for children.
• Perform other duties as assigned by the Executive Director or Senior Head, Residential Services.

Requirements

• Bachelor's degree in Business Administration, Project Management, or a related field.
• Minimum 3 years of experience in a similar role.
• Excellent verbal and written communication skills.
• Preferably with knowledge of governance, audit processes, or non-profit operations.
• Ability to build and maintain strong working relationships with diverse stakeholders.
• Strategic thinking and problem-solving skills.
• High attention to detail and accuracy.
• Strong time management skills to handle multiple priorities effectively.
• Able to work 3 days (up to 24 hours) per week

Why Join Us?

At CSLMCH, you will have the opportunity to contribute to meaningful work, collaborate with dedicated professionals, and make a lasting impact on the lives of children in need.

How to Apply

If you are organized, proactive, and passionate about driving impactful programmes, we would love to hear from you. Please send your CV and a cover letter to [email protected] with email subject: Programme Officer.

Together We Nurture Every Child and Family to Shine!

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.

Research Assistant – Pharmacokinetics unit

Job Scope:

· Pharmacokinetics Function – Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Requirements:

· Degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Molecular Biotechnology or related field.

· At least 1-2 years of working experience in a related field is preferred but not necessary. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures. Experience in one of the assays listed in the job scope of Pharmacokinetics: Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

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

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• At least 5 years of relevant experience
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, 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.

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, 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

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 on one or more projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

• Position: HR Assistant or Officer
• Location: Tuas Crescent - Company transport provided (Pick up point at Jurong East and Marsiling MRT)
• Working hours: 5 days, Mon to Fri (8.30am- 5.15pm)
• Salary (commensurate on experience): Up to $3800+ Bonus + 14 days annual leave
• Duration: Permanent
• Industry: Wholesale of diesel-powered generators

Main Responsibilities:

• Carry out end-to-end recruitment, on-boarding, employee exit management, performance management, implementation of HR policies and procedures, staff training & development
• HR administration such as data entry, filing, prepare employment contracts, letters and other documentation
• Conduct staff orientation and regular briefing on company policies and procedures
• Support in monthly payroll including attendance checking and Overtime processing
• Administration on Foreign workers work pass renewal & MYE matters, dormitory (staff housing) & others
• Administration on employee insurance, government paid claims, staff benefit claims, employee training and others
• Support and manage in company’s events and activities such as stock take, annual dinner, festive celebration and others
• Prepare and Deliver timely and accurate data, reports and office administration
• Participate in HR projects and provide any other HR support assigned

Requirements:

• Diploma or Degree in Human Resources or Administrative / Business Studies
• Minimum 1-2 years of full spectrum HR working experience as generalist including payroll processing.
• Preferably from construction / manufacturing, industrial sector.
• Familiar with MOM regulations and HR practices
• Bilingual in English and Mandarin to liaise with Mandarin speaking associates in view of business communications

Email to [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

**We DO NOT charge our candidates any referral fee nor bind them with any contract.**

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

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 that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, and biodiesel manufacturing, and grains processing and merchandising. It has over 1,000 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50 other countries. The Group is backed by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for an assistant research officer to join Wilmar’s corporate lab (WIL@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres to predict quality parameters related to the product.

Main responsibilities of the incumbent (not limited to):

• Manage and pre-process data
• Ability to code and script based on specified tasks
• Statistical analysis and machine learning experience in the following area
• Forecasting using time series data
• Neural networks, in particular recurrent and long short term memory networks
• Versatile in applying computational techniques to solve open problems
• Participate in seminars and research-in-progress meetings within the team and collaborators

Job requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Machine learning and statistical background
• Positive learning attitude towards new ideas

HR Officer - Ship Management Company

We are seeking a skilled and experienced HR Officer to join our dynamic team at our Singapore-based Ship Management Company. The ideal candidate will play a crucial role in managing HR functions for our office staff,

Responsibilities:

Organizational Structure and Job Descriptions

- Review and redesign organizational hierarchy, considering interdepartmental relationships and internal workflows

- Analyze and update job descriptions for office staff to ensure alignment between procedures and actual practices

Policy Development and Implementation

- Propose, develop, and implement comprehensive office policies, including (but not limited to:

- Work from Home Policy

- Loan Policies

- Leave Policies

- Travel Allowance

- Phone Benefits / Usage Policies

Performance Management

- Develop metrics to evaluate staff performance

- Create and implement a performance-to-rewards system to identify and recognize high-performing staff

Employee Relations

- Address employee grievances promptly and professionally

- Facilitate conflict resolution to maintain a harmonious workplace

Training and Development

- Assess training needs across departments

- Coordinate and implement development programs to enhance employee skills and performance

Reporting and Analytics

- Prepare and present reports on HR metrics to senior management, including:

- Turnover rates

- Employee satisfaction levels

- Compliance issues

Requirements:

- Bachelor's degree in Human Resources, Business Administration, or related field

- Minimum 3-5 years of experience in HR, preferably in the maritime or shipping industry

- Strong knowledge of Singapore employment laws and regulations

- Experience in managing remote teams and implementing remote work policies

- Excellent communication and interpersonal skills

- Proficiency in HR software and Microsoft Office (Suite)

- Ability to handle confidential information with discretion

Benefits:

- Competitive salary package

- Opportunities for professional development

- Health insurance coverage (Medical/Dental)

If you are passionate about HR and have the skills to drive our organization forward, we encourage you to apply. Join us in creating a positive and productive work environment for our diverse team of professionals in the ship management industry.

Computational Systems Biology deals with mathematical formulation adopted on a computational platform to analyse experimental biological datasets. Here, the candidate with work with multidisciplinary team members to develop a computational model of a microbial system under variable experimental conditions.

The highly motivated and experienced candidate will drive a project in optimizing sustainable food production through a microbial chasis. The candidate will have an opportunity to learn and innovate on deep learning -based flux analysis.

Responsibilities:

• Set up computational pipeline, code in python, and conduct relevant bioinformatics analysis
• Communicate progress, research findings, and implications to stakeholders
• Draft documentation, manuscripts, and slides

Requirements:

• Bachelor or Master in Bioinformatics, Computer Biology, Molecular Biology, or related field.
• Experience in preprocessing and analyzing RNASeq and/or meta-transcriptomics data
• Coding or scripting experience in any language
• Be a self-starter, detailed orientated, and with a growth mindset
• Proficient in python programming and the usage of its interactive notebook
• Have experience in applying flux balance analysis
• Have interest in, or a basic understanding of microbial biology
• Have an interest in post-graduate studies

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

Duties & Responsibilities
1.Recruit, train, assess and supervise personnel performing recruitment and interviewing to ensure quality of the participant data.
2. Manage the recruitment listings and study visit scheduling to ensure response rates and operating capacity are maximised, and project timelines are being met
3. Design, test, implement and review new workflows or surveys
4. Recontact participants to verify and rectify collected information
5. Ensure participant information in the operations database is updated and accurate and the completed consent and data forms are accounted for and securely stored
6. Record and track the submission, rework or rejection of consent forms and questionnaires and generate reports on data quality
7. Investigate participant complaints and incidents and implement appropriate actions for continual improvement of processes and service
8. Supervise and guide callers, interviewers and recruiters on professional conduct and responsiveness to ensure participant satisfaction and willingness to contribute for the long-term
9. Compute monthly payments to the recruiters
10. Manage the cash and vouchers for the reimbursement to participants of various projects

Qualifications

• A degree holder, preferably from a biomedical or life science discipline
• Minimum 3 years of working experience and 1 year of supervisory experience
• Clear and good communication skills
• Careful and meticulous with data management
• Fluent in English and at least 1 other local language (for examples Malay or Chinese) to be able to understand and communicate with research participants who are only able to speak Malay or Chinese
• Proficient in Microsoft applications

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Mandar Chitre on the research on medium access control (MAC) under space-time coupling mesh-connected networks.

The main responsibilities of the position include:

• Conduct in-depth analysis of medium access control (MAC) in mesh-connected underwater acoustic networks (UANs), focusing on space-time coupling characteristics.
• Investigate the impact of space-time coupling on MAC performance, including access capacity and network efficiency, in mesh-connected UANs.
• Design and optimize topology-shaping techniques for mesh-connected UANs to enhance network performance.
• Simulate and test the proposed algorithms and network designs to evaluate their effectiveness in improving access capacity and reducing interference.
• Work collaboratively with interdisciplinary teams to align research findings with practical applications in underwater resource development.

Qualifications

PhD in Electrical Engineering, Computer Science, or a Related Field, with a focus on one or more of the following areas:

• Wireless Communications
• Underwater Acoustic Communications
• Network Protocols and Medium Access Control (MAC)
• Signal Processing

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of VOC speciation via chromatography and/or online real-time detection instrument (e.g., PTR-MS)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies with prior experiences
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of chemical characterization via chromatography (GCMS, LCMS, GCTOFMS, etc.)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 NUS Centre for International Law (CIL) is accepting applications for Research Associate for its Energy Law and Policy Programme (ELP). The ideal candidate would be interested in working on globally-oriented energy governance issues with a regional focus, particularly topical issues of a cross-cutting nature. CIL encourages its research staff to develop independent and joint research within its areas of focus. Candidates with interdisciplinary research experience/perspectives are encouraged to apply.

In addition to conducting research, the Research Associate (RA) is expected to assist in planning and organising international and regional conferences, workshops and training courses for government officials; and to be involved in drafting background papers and/or reports for such events.

In the case of cross-cutting issues, the RA is expected to collaborate with other research teams within CIL to ensure efficient and effective research outcomes. He/ She is also expected to contribute to the development and maintenance of an internal knowledge base as well as efforts to keep the CIL website and other research-related social media platforms up to date.

The successful candidate can look forward to working at the forefront of governance issues as part of the global energy transition and contributing to shaping the future of energy governance at both the global and regional levels. CIL also provides opportunities for its research staff to attend regional and international conferences, workshops and symposiums. There would also be opportunities to work with leading international and regional experts in this field and gain valuable exposure to a range of energy governance issues and perspectives. The successful candidates can look forward to joining a small collegial team that values team work and excellence.

Qualifications

• A Juris Doctor (JD) or a Master of Laws (LLM) in international law with a demonstrable interest in energy and/or environmental governance issues and strong research, writing and analytical skills.
• Candidates with strong IT skills and experience creating and managing engaging social media content across various platforms will have an added advantage.
• Candidates with a particular interest in Southeast Asia and its regional institutions are strong encouraged to apply.

Application Procedures

Interested applicants are invited to apply online via the NUS Career Portal with the following documents:

• Detailed curriculum vita
• Cover letter that demonstrates why you should be considered for the relevant position
• Two samples of written work
• Names/contact information of two (2) referees

Applications are assessed on a rolling basis and only short-listed candidates will be contacted. For enquiries, please contact Ms Huong Tam at [email protected]

More Information

About Centre for International Law (CIL)

The Centre for International Law (CIL) was established in 2009 as a university‐level research institute at National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law. As a university-level research institute, CIL is expected to engage in multi-disciplinary research as well as legal research. For more information on the Centre including its vision and mission please see www.cil.nus.edu.sg.

Energy Law and Policy Programme

The Energy Law & Policy Programme is a new programme area which CIL is developing, building on its existing Nuclear Law and Policy Programme which now forms part of the new ELP Programme. The Programme is headed by Denise Cheong, who was previously the head of CIL’s Nuclear Law & Policy Programme. For further information on the Energy Law and Policy team and their projects, events and publications, please visit https://cil.nus.edu.sg/

We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. 1- 2 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

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.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 5 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication skills

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