Total 2,239 Science / R&D / Research job vacancies in ngee ann polytechnic clementi campus

The Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and instrumental simulation of the process.

Main responsibilities:

• To conduct independent lab-based research on instrumental design and construction
• To design experimental devices and set ups needed for the project
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications

Job Requirements:

• PhD degree in physics, material science, mechanical engineering, or other relevant disciplines of physical science and engineering
• Previous experience in instrument design greatly beneficial
• Knowledge and research experience in food sensory, food flavour, food physics are ideal, but not essential
• An excellent track record of research publications
• The candidate should also have excellent communication skills and is expected to establish collaborations with researchers from other scientific disciplines.

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 Department of Civil & Environmental Engineering (CEE) of the National University of Singapore is hiring one Research Fellow to assist the Principal Investigator in the Research Area of Concrete 3D printing with a focus on the durability, rheology, and sustainability.

The RF is required to work on;

1. Development of durable construction materials from locally available resources for 3D printing,
2. Assessment of environmental impact of the developed concrete mixture and
3. Evaluation of the service life of the developed 3D concrete mixture.

Applications should include (i) a motivation letter, (ii) a detailed Curriculum Vitae including list of publications, and (iii) contact of 3 referees. Only shortlisted applicants will be contacted.

Job Requirements

• Possess a PhD degree in Civil Engineering or Materials Engineering with demonstrated experience in designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills.
• The ideal candidate is expected to be self-motivated and can work in an interdisciplinary environment. It is important that the candidate has an ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings.
• He/she will work in an international environment and, therefore, excellent oral and written communication skills are required.
• Prior experience in 3D concrete printing, durability test, low-carbon concrete are essential to the posted job.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment.

Learn more about CQT at www.quantumlah.org

Job Description

The candidate will work on mathematical foundations of quantum information measures, e.g., exploring integral formulae for relative entropies and on axiomatic derivations of quantum information measures. In this role he will also help supervise students and junior postdocs working on these topics.

Job Requirements

• Broad experience in quantum information, in particular in the mathematical foundations of quantum information and in the study of information measures
• Strong background in mathematics, in particular matrix analysis
• Experience in supervising students and junior postdocs

Job Description

The successful candidate is expected to teach a course on Current Topics in Health and Nutrition to undergraduate students. The appointment will be for the first half of Semester 2 of Academic Year 2024/2025.

Qualifications

PhD in a relevant field, proven track record of excellent achievement in teaching and supervision at undergraduate level. Strong communication skills, a capacity for high-quality research, a commitment to teaching excellence, and a team-oriented attitude.

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.

RESPONSIBILITIES

• Perform extraction, sample preparation and quantitative analysis of targeted metabolites on fermentation and in-process materials to support development of high value healthy food ingredients with novel functionalities
• Perform chemical screening using targeted and untargeted metabolomics experiments, LC-MS method development and validation, analysis and interpretation of HRMS data for biomarker discovery and identification
• Coordinate and manage multiple project requests, managing timelines and resources, to streamline the analytical process and ensure timely completion
• Responsible for the accurate, timely and compliant execution of assigned projects, analytical testing and related documentation
• Responsible for the proper operation and maintenance of all analytical and laboratory equipment
• Provide technical training on laboratory instrumentation to other laboratory analysts
• Contribute to the continuous improvement and future development of analytical capability.

REQUIREMENTS

• B.Sc. in Chemistry, Analytical Chemistry, Food Chemistry or related discipline
• At least 2 to 5 years of working experience in analytical chemistry laboratory
• Technical knowledge and hands-on expertise in HPLC-UV/RID/ELSD, LC-MS/MS (QTOF and QQQ), including sample preparation.
• Proficient in qualitative and quantitative workflows
• Excellent organizational, project coordination skills, laboratory management and prioritization skills in multiple tasks, meeting strict deadlines.
• Good communication, presentation and interpersonal skills
• Experience in various data-processing and statistics software is a plus

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 Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and retronasal sensation.

Main responsibilities:

• To conduct independent lab-based research
• To design experimental tasks and conduct independent research on mass transfer and retronasal sensation according to the project plan.
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications.

Job Requirements:

• PhD degree in food science, food sensory, food flavour, sensory analysis, oral physiology, or other relevant disciplines.
• Knowledge on sensory receptors, sensory physiology is advantageous.
• An excellent track record of research publications.
• The candidate should also have excellent communication skills and is capable of working together with researchers from other scientific disciplines.

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 Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and instrumental simulation of the process.

Main responsibilities:

• To conduct independent lab-based research on instrumental design and construction
• To design experimental devices and set ups needed for the project
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications

Job Requirements:

• PhD degree in physics, material science, mechanical engineering, or other relevant disciplines of physical science and engineering
• Previous experience in instrument design greatly beneficial
• Knowledge and research experience in food sensory, food flavour, food physics are ideal, but not essential
• An excellent track record of research publications
• The candidate should also have excellent communication skills and is expected to establish collaborations with researchers from other scientific disciplines.

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.

Understanding the pharmaco/nutrico/toxicokinetic behaviour of drugs, chemicals and food ingredients is a fundamental step in assessing the efficacy and safety of these materials. It can be challenging to study such substances directly in human subjects, while animal models lack direct translatability to humans due to inherent differences in species biology. One promising strategy is the use of physiologically-based pharmacokinetic (PBPK) modelling to predict the local tissue and systemic exposure of these substances. We have developed in-house in vitro and in silico tools to model chemical absorption, distribution, metabolism and excretion (ADME) in humans using data generated from in vitro assays. We apply these tools to predict pharmacokinetic profiles in different settings, ranging from oral or transdermal administration to studying special populations such as pregnant women, for a variety of substances including pharmaceuticals, food ingredients, environmental contaminants, essential micronutrients and microbial metabolites. These capabilities are further enhanced with state-of-the-art, enabling technologies such as the SHIME® intestinal digestion simulator and spatial mass spectrometry imaging.

The following tasks are expected of the candidate:

• Literature search to extract relevant ADME data for chemicals of interest
• Perform in vitro absorption, transporter, metabolism, fraction unbound and other related ADME assays
• Quantify membrane protein, metabolic enzyme and xenobiotic concentrations within biological samples using liquid chromatography-tandem mass spectrometry (LC/MS/MS) instruments
• Integrate appropriate in vitro and in silico data into PBPK models to predict the ADME of chemicals
• Develop new and/or improve features of in-house models, including pharmacodynamic modelling
• Write scientific grant proposals, maintain laboratory notebooks, prepare scientific reports, presentations and manuscripts
• Supervise and train students and interns

Qualifications

• PhD in Pharmaceutical Science, Life Sciences or equivalent.
• Strong understanding of ADME and pharmacokinetic concepts is essential.
• Prior experience in in vitro ADME assays and analytical mass spectrometry workflows is desirable.
• Prior experience with PBPK tools such as Simcyp®, GastroplusTM, PK Sim, Matlab/Simbiology or other models is desirable.
• Able to work in a multi-disciplinary team, possess strong organizational and project management skills, demonstrate initiative and able to work independently.

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 Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and retronasal sensation.

Main responsibilities:

• To conduct independent lab-based research
• To design experimental tasks and conduct independent research on mass transfer and retronasal sensation according to the project plan.
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications.

Job Requirements:

• PhD degree in food science, food sensory, food flavour, sensory analysis, oral physiology, or other relevant disciplines.
• Knowledge on sensory receptors, sensory physiology is advantageous.
• An excellent track record of research publications.
• The candidate should also have excellent communication skills and is capable of working together with researchers from other scientific disciplines.

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 Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Senior Research Fellow position. The Laboratory of Virus Evolution (LoVE) studies rapidly evolving respiratory RNA viruses including influenza, parainfluenza and coronaviruses. Our research helps to understand the molecular drivers of virus evolution and population dynamics, and their influence on virulence and pathogenicity.

The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment. The candidate should possess a strong background in molecular virology and/or immunology, and will utilize metagenomics sequencing and virologic techniques to understand the evolutionary dynamics of different RNA viruses. The candidate will be involved in developing antiviral antibody therapies in the prevention and treatment of virus disease.

The candidate is expected to perform a variety of research under the Principal Investigator’s supervision or his/her designate. The main duties and responsibilities will include but are not limited to the following: -

• Conduct and design experiments for rapid molecular diagnosis and efficient genomic sequencing
• Perform bioinformatics and phylogenetic analyses
• Develop and test novel antiviral preventive or therapeutics against virus infections.
• Conduct in vitro and in vivo experiments to study virulence and pathogenesis.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Write research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Virology, Molecular Biology, Immunology or other related disciplines.
• Have a strong background in molecular virology, particularly on RNA viruses.
• Possess strong laboratory skills and experience in animal research.
• Prior experience with antibody techniques is preferred.
• Possess excellent analytical, organisational, and communication skills.
• Self-motived, able to work effectively and efficiently, willing to work hard to meet tight deadlines and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Fellow will work closely with the Principal Investigator, Dr. Zhang Yamin, on the research project of design biodegradable batteries for healthcare and sustainable applications.
• The Research Fellow will help develop new electrode materials, biodegradable batteries, self-powered electronic platforms, and investigate the medical and environmental applications.

Job Requirements

For Research Fellow Position:

• A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Electrical Engineering;
• Good publication record;
• Experienced material synthesis and characterization, electrochemistry
• This position is available from January 2025

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

• Conduct research on the formulation and processing of 3D printed soft materials, develop and optimize material compositions, and perform experimental characterization and testing.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations.

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, Chemical Engineering, or a related field.
• Strong background in materials formulation, polymer processing, and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication skills.

About us

Help us make a difference! - At Sunbird Bio, we’re developing protein-based diagnostic tests that provide unprecedented insights to enable earlier, more accurate diagnosis and treatment of Alzheimer’s disease and other neurological disorders. We are addressing the tremendous, growing need for more reliable and sensitive diagnostic tests to accelerate drug development and enhance patient care. We will be able to give patients and clinicians the clarity they need to make confident decisions when they matter most. Join our team to find a purpose-driven career and environment that supports you while you’re working to help others.

Job Specification

The Research Officer will work directly with a team of scientists to test and develop new assays. The successful candidate will be responsible for ensuring experiments are completed in a timely manner.

· Perform a variety of molecular, cellular and immunology related assays such as qPCR and ELISA.

· Compile and analyse experimental data and adjust experimental designs as necessary.

· Maintain accurate and detailed laboratory records and data.

· Maintain laboratory equipment performance and supplies inventory.

· Prepare materials for submission to external partners.

· Prepare progress reports and present to research team.

· Responsible for housekeeping of laboratory.

· Any other duties as assigned from time to time.

Requirements (Qualification, Years of Experience, Knowledge & Skills required)

· B.Sc or M.Sc. in Biology, Immunology, Biochemistry, Bioengineering or related discipline.

· Experience with molecular biology assays (e.g. qPCR, ELISA).

· Experience with cell biology techniques including cell culture and clinical sample processing.

· Able to work in a fast-paced environment with tight deadlines.

· Prior industry experience is an advantage.

· Strong desire to learn continuously.

· Able to work independently and in a collaborative manner with an interdisciplinary team.

· Effective verbal and written communication skills.

About us

Help us make a difference!

At Sunbird Bio, we’re developing protein-based diagnostic tests that provide unprecedented insights to enable earlier, more accurate diagnosis and treatment of Alzheimer’s disease and other neurological disorders. We are addressing the tremendous, growing need for more reliable and sensitive diagnostic tests to accelerate drug development and enhance patient care. We will be able to give patients and clinicians the clarity they need to make confident decisions when they matter most. Join our team to find a purpose-driven career and environment that supports you while you’re working to help others.

Job Specification

The Research Scientist will lead a team of researchers to design, develop and validate immuno-assays on a novel diagnostic platform. The successful candidate will be responsible for ensuring project goals are met in a timely manner and to communicate the results to relevant stakeholders.

· Work with the team to scope and manage project within requirements and ensure timely execution.

· Design and execute experiments for development and optimization of immuno-diagnostic assays according to required specifications.

· Constantly survey literature for new ideas that for the optimization of immunoassays

· Able to analyse, summarize and communicate results to relevant stakeholders.

· Provide scientific input in both R&D meetings and multifunctional meetings.

· Mentor junior team members in experimental design and troubleshooting.

Requirements (Qualification, Years of Experience, Knowledge & Skills required)

· PhD qualification in Biology, Chemistry, Biochemistry or related disciplines.

· Extensive experience in developing assays on different immunoassay platforms (ELISA, Quanterix, MSD, Elecsys) is highly preferred.

· Prior experience in protein synthesis and characterization with tools such as SPR (Biacore, Horiba, Octet etc.) to study protein-protein interactions and binding kinetics preferred

· Familiarity with general molecular biology and biochemical techniques such as protein conjugation

· Experience in bioassays and working with human samples is a plus

· Prior industry assay development experience is a plus.

· Knowledge of regulatory or quality assurance processes is an advantage.

· Able to work in a fast-paced environment with tight deadlines.

· Flexibility to lead or be part of the team.

· Able to work independently and in a collaborative manner with an interdisciplinary team.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The candidate reports to the Head of the NUS School of Computing Research Office and works closely with the research grant administration team to manage both internally funded as well as externally funded research grants from government agencies and industries. The candidate will receive training and the opportunity to carry out assignments in the following areas:

• Act as the primary liaison in the preparation and submission of project proposals, agreements, budget plans and reports.
• Administer research grants and reconcile accounts statements.
• Monitor the research project funds utilization and provide periodic updates.
• Coordinate with grantors, track the receipt of funds, prepare documents for audit and process payments and claims.
• Coordinate the re-appointments of research staff and the engagement of students.
• Liaise with researchers and vendors on the procurement of goods and services.
• Serve as secretariat for meetings and prepare presentation material.
• Coordinate the publicity and logistics preparation for conferences and workshops.

Qualifications

• Bachelor’s Degree with no work experience or Polytechnic Diploma with work experience in a fast-paced, dynamic environment
• Demonstrate initiative and good interpersonal communication skills
• Good writing skills
• Analytical, numerate, resourceful and energetic
• Able to multi-task and deliver under tight deadlines
• Strong sense of customer service
• An initial 2 years' contract will be offered, subject for extension

Only shortlisted candidates will be notified.

Our client, a well-known MNC company is looking for R&D Electrical Engineer (3-years renewable contract) position.

Responsibilities:

• Utilise 3D CAD design tools and perform high precision 3D printing (FDM & DLP)
• Utilise basic microcontrollers boards such as Arduino, ESP32 or STM32 to build simple circuit boards for sensor control and data acquisition
• Testing and assembly of electronics and mechanical parts and debugging of software using basic tools like python or C++
• Maintenance of laboratory inventory and laboratory administrative tasks (Procurement, equipment preventive maintenance/repairs and safety matters)
• Perform administrative works, such as ordering and payment with SAP system.

Requirements:

• Diploma/Higher NITEC holders in Bioengineering, Biophysics, Physics, Mechatronics, Electrical Engineering, Mechanical Engineering, Computer Engineering, or any related fields.
• Basic experience in 3D CAD design software, like Solidworks and Fusion360.
• Basic experience with microcontroller boards like Arduino, Esp32, STM32.
• Basic experience in handling simple electronics and basic hands-on soldering skills
• Prior experience or have interest in handling administrative tasks like raising Purchase Orders, payment requests, arranging preventive maintenance of equipment and liaising with vendors.

We regret that only shortlisted candidates will be notified.

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Laboratory Technician (Electrical/Electronics/Mechatronics)

Responsibilities

• Support teaching and learning in the following areas:

- Preparation of laboratory materials, hand tools, and components for lessons and examinations

- Troubleshoot and maintenance of laboratory tools and instruments

- Management of laboratory space for student projects, project equipment, materials, and storage

- Assist in managing activities in the laboratories and ensure safety procedures are observed

• Perform daily housekeeping and maintenance to ensure the safety, cleanliness, and tidiness of laboratories.
• Liaise with vendors and evaluate quotations from suppliers for laboratory equipment and electronics components.
• Track and maintain laboratory documentation (i.e., Risk Assessments and Components Data Sheets) and inventory of laboratory equipment, hand tools, and components

Requirements

• Diploma in Electronics & Electrical Engineering or equivalent
• Knowledge in Electronics/Mechatronics
• Knowledge and hands-on experience in operating Electronics measuring instruments such as Digital Oscilloscope, Digital Power Supplies, Digital Function Generator and Digital Multimeter
• Able to understand PCB schematics, PCB/circuit layouts
• Possesses good soldering skills
• Proficiency in Microsoft Office and Circuit Simulation
• Must be able to lift relatively heavy objects
• Must be able to differentiate different colours for work purposes
• Team player and able to work independently

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 hire will focus on computational modelling of metal 3D Printing. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in simulation of 3D printing. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.

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

STATEMENT OF PURPOSE

To conduct neuropsychological assessments, and to assist in research procedures.

Candidates will gain training and exposure to research skills (running study, data collection, data analysis and communication skill).

DUTIES AND RESPONSIBILITIES

(A) SPECIFIC (80%)

1. Conduct neuropsychological assessment and follow-up of patients and subjects for research purposes/clinic
2. Assist in data entry and data analysis of research projects
3. Obtaining additional or confirmatory clinical data by interviews with caregivers

(B) GENERAL (20%)

1. The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

(A) EDUCATION, TRAINING AND EXPERIENCE

1. BSc, BA, BA (Psych) or relevant Background. Candidates in their final year of studies are welcome to apply.

(B) LANGUAGE

1. Must be able to speak English and Mandarin. (We are recruiting personnel to perform Chinese Language cognitive assessment for pure mandarin speaking elderlies)

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

A Research Engineer position is open immediately in the Department of Mechanical Engineering, National University of Singapore. Successful candidate is expected to work in the field of AI for Science. Especially, the work is to develop advanced AI models for computational physics and computational materials applications. The candidate will also conduct calculations using DFT and/or AIMD for generating training dataset.

Qualifications

Candidates should have a master’s degree in physics, Materials Science, Electrical Engineering, Mechanical Engineering or a closely related field. They should also have excellent communication skills, both oral and written, and able to guide undergraduate students to conduct projects. Successful candidate is expected to perform DFT/AIMD calculations to understand the underlying physics for explainable AI model development. The candidates have higher priority if they have the background of the AI for Science.

Job description

We are looking for candidates to join the fusion energy effort in the newly formed Plasma Physics & Energy Group (PPE), Institute of High Performance Computing, A*STAR. PPE focuses primarily on microwave plasma diagnostics and RF heating and current drive (H&CD), with an emphasis on solving the challenges faced by future fusion energy systems. The new hire is 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 skillset. While the new hire will begin by working on existing projects in plasma diagnostics, participation in grant calls as a Principal Investigator is highly encouraged.

The key scope of work includes:

• Understanding the physics of fusion plasmas, plasma diagnostics, and RF H&CD.
• Working closely with the rest of the team to develop, validate, deploy, and maintain analysis codes to better interpret diagnostics data from fusion experiments.
• Writing grants and developing the direction of fusion research in IHPC.
• Supervising students and interns (optional).
• Supporting local and international collaborators in fusion research.

Job Requirements

• PhD in Physics, Plasma Physics or equivalent with a background in magnetic confinement fusion, such as in plasma physics and/or engineering
• At least 5 years of experience
• Deep knowledge in at least one of:

Theoretical plasma physics (such as plasma waves, turbulent transport).

Computational plasma physics (such as fullwave, beam tracing, gyrokinetics).

Plasma diagnostics (including hardware experience). Candidates with an experimental inclination will be encouraged to travel to international collaborators' experiments for extended periods.

• Proficiency in programming languages such as, but not limited to, Python, C/C++, and Julia.
• Good interpersonal and communication skills, ability to adapt and work effectively as a member of a team, strong communication and excellent writting skills
• Demonstrate resourcefulness and be self-motivated 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.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Do research for topics covered in upcoming productions
• Produce audition scripts for potential talents such as show hosts
• Produce episodic scripts
• Produce scripts for show extensions such as digital content on social platforms
• Collate information for intra and inter-department meetings or sharing sessions
• Brainstorm ideas for new or upcoming shows
• Brainstorm ideas to pitch for new shows
• Conduct in-depth research on a wide range of topics
• Write creative scripts for genres like variety, lifestyle, gameshow, entertainment specials, magazine and shows etc
• Ideate new show concepts
• Participate in company-wide strategic initiatives

• Good command of English
• 2 years' experience is preferable
• Diploma in Creative Writing or Mass Communications
• Able to craft compelling narratives
• Able to craft compelling narratives
• Keen understanding of current trends in entertainment
• Ability to collaborate effectively with producers and creative teams

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. 1-3 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.

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. At least 5 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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a research engineer that has recently completed their master in a STEM field to work on interpretable machine learning for scientific applications.

Qualifications

• Master of Science in STEM or related field
• Proficiency in machine learning, dynamical system theory, interpretability
• Good coding skills, especially in Python