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 on several research projects on using machine learning in chemical and optimization problems
• The Research Fellow will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

The veterinary officer will report to the Attending Veterinarian and Directors' Office and work closely with the veterinary team and technicians.

The role of the veterinary officer is to be responsible for, but not limited to the following:

• Ensure the welfare and health of research animals including rodents and fish
• Prevention, alleviation and minimisation of pain and distress of animals
• Provision of scientific research support, information, and services
• Development of animal husbandry systems and facility operational management
• IACUC responsibilities
• Education of scientific, animal care and ancillary staff
• Any other exigencies of duties as directed by the Attending Veterinarian, Directors, or senior BRC staff

Job Requirements:

• Degree in Veterinary Science or Veterinary Medicine with eligibility to apply for an AVS veterinary licence.
• Prior work experience in research animal facility is not required but will be considered favourably.

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 successful candidate will work in a highly international and multidisciplinary environment at the Centre for Advanced 2D Materials (CA2DM) of the National University of Singapore - a world-leading research centre dedicated to the study and application of two-dimensional materials. NUS is a globally renowned institution committed to excellence in research, education and innovation.

We are seeking a proactive professional with a wide vision spanning academia to industry to join our team. The successful candidate will be responsible for:

• Independently conducting scientific and development work on 2D nanodevices applications
• Initiating, improving, and revising laboratory operations and testing procedures as necessary
• Formulating strategies for the production of nanodevices
• Developing nanodevices and computational simulations of nanodevice patterns
• Contributing to business strategy formulation
• Developing methods and processed in collaboration with universities, third-party laboratories, and suppliers
• Collaborating with researchers, postgraduates, and staff of CA2DM on research activities

Qualifications

Candidates must meet the following criteria:

• Hold an internationally-recognized Bachelor's and Master's degree in areas related to material science or engineering
• Have more than five years of hands-on experimental laboratory activities
• Have experience in laboratory management with a problem solving approach
• Demonstrate strong knowledge in nanodevices development, biosensors development, biotechnology device applications, materials processing, biomaterials functionalization, materials and nanodevices characterization techniques (e.g., FTIR, XRD, Raman, electrical impedance, optical microscopy, SEM, TEM, UV-Vis, TGA, DSC, and mass spectroscopy)
• Have experience developing magneto-elastic devices
• Have experience in writing scientific articles
• Possess strong written and verbal communication skills in English

Job Description:

The laboratory of EpiMetaGenomics (https://bensonchenlab.com) is seeking to recruit a skilled and motivated research officer interested in functional genomics. We are particularly interested in candidates with expertise in high-throughput sequencing, microbiology, molecular biology, and cell culture techniques. The candidate will work with a team to develop in vitro and in vivo functional assays, collect and process tissue samples, and assist in the day-to-day operation of the lab. Please send the resume to Dr. Chen ([email protected]) directly. Only shortlisted candidates will be contacted.

Job duties & responsibilities:

1. Laboratory maintenance: assist in organization and upkeep of laboratory supplies. Take on administrative roles where necessary, such as procurement of lab supplies, lab safety oversight… etc.

2. Laboratory procedure: perform various biological assays, including PCR, DNA/RNA purification, protein extraction, bacterial and mammalian cell culture.

3. Carefully and thoroughly document all procedures performed and results generated

4. Communicate, design, organize, and conduct the experiments efficiently. Complete assigned tasks on time.

Requirements:

• Bachelor Degree in relevant fields with at least 5 years of previous experience in a research lab
• Solid knowledge in molecular biology
• Highly motivated and passionate about scientific research
• Ability to follow protocol precisely and have excellent communication skills
• Team player and have a strong motivation to achieve the goals

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 Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology.

We have an opening for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence and sustainability that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to 5G, AI, sustainability, etc.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record
• Outstanding data analytics, mathematical, and computer modelling skills
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)

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 Antonia Monteiro on quantifying gene expression as well as hormonal differences across male and female damselflies that have a female-limited color polymorphisms under a project on The molecular basis of male-mimicry in damselflies

The main responsibilities of the position include:
Performing RNA-Seq, hormonal extractions and analyses, to identify factors that vary across the sexes and/or across the different female forms, that can later be tested for causation using functional experiments.

Qualifications

• Qualifications / Discipline: PhD in Evolutionary biology

• Skills: Bioinformatic skills, molecular biology skills, expertise in insect husbandry

• Experience: prior expertise in damselfly collections and rearing

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science ‘Proteins4Singapore’ program is funded by Singapore’s National Research Foundation (NRF). The Technical University Munich (TUM) and Nanyang Technological University (NTU) join forces with the Singapore Institute of Technology (SIT) and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI) to research plant-based proteins.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Project Title:

Scalable Process Development for Protein Extraction from Highly Concentrated Microalgae Broths

• Abstract:

The project Proteins4Singapore aims to address Singapore's aspiration to identify domestically grown protein-rich raw materials for the production of novel foods. Proteins4Singapore microalgae which can be grown in highly urbanized environments.

In this master’s/intern project, we will focus on processing microalgae to extract fractions high in protein from concentrated biomass slurries. To facilitate industrial-scale implementation, considerations for scalability and cost-effectiveness are paramount. The initial phase involves establishing a mechanical processing method for microalgae.

Further, microalgae cultures will undergo cross-flow filtration and continuous centrifugation for dewatering. To assess the impact of viscosity on the process, viscosity, and flow index values will be determined. For disruption, high-pressure homogenization will be used on differently concentrated microalgae solutions. The goal is to determine the maximum solid load of microalgae and assess disruption efficiency with increased solid loads.

Following the disruption, debris will be separated from soluble proteins through centrifugation and cross-flow filtration. Subsequently, these solutions will be separated from potential valuable co-products, while monitoring protein stability in highly concentrated solutions. Finally, cost efficiency and economic aspects will be evaluated.

• Applied Methods:

High-Pressure Homogenization, Micro- / Ultrafiltration, Protein Analytics, Rheometry, Centrifugation

Job Responsibilities:

1. Laboratory Work and Experimentation:

• Conduct hands-on experiments related to microalgae processing, protein extraction, and separation techniques.
• Collaborate with the research team to optimize protocols and methodologies.
• Assist in developing and refining scalable processes for protein extraction.
• Investigate factors affecting efficiency, yield, and cost-effectiveness.

2. Data Collection and Analysis:

• Analyze results using appropriate statistical tools and software.
• Summarize findings from scientific literature related to microalgae processing and protein extraction.
• Contribute insights from your research to project reports and your master’s thesis.

3. Collaboration and Communication:

• Present your research findings during team meetings.
• Actively participate in discussions with fellow researchers, and project leads.

Job Requirements/Competencies:

1. Educational Background:

• Currently enrolled in a Master’s program with a reputation university in fields such as Biotechnology, Bio-/Chemical Engineering, MINT (Mathematics, Informatics, Natural Sciences, Technology)
• Possess a Bachelor’s degree with a reputable university in relevant fields, including Applied Sciences, Food Science, Biotechnology, Chemistry or related areas

2. Experience and Attitude:

• Laboratory experience is beneficial for this position.
• A strong willingness to learn, contribute, and work independently is equally important.

3. Essential Skills:

• Attention to Detail: Precise data collection and adherence to protocols.
• Analytical Thinking: Ability to interpret experimental results and troubleshoot.
• Teamwork: Collaborate effectively within a multidisciplinary team.

This internship provides an opportunity to work on cutting-edge research at the intersection of biotechnology, sustainability, and food science. The successful candidate will gain practical experience in a dynamic and international research environment and contribute to Singapore’s protein innovation landscape.

We encourage curiosity, creativity, and a passion for scientific exploration.

Feel free to reach out if you have any further questions or need clarification!

What TUM CREATE offers you

• Intern allowance
• Medical insurance support
• Good amount of leave/vacation days
• Multicultural, vibrant, modern and positive working environment in Singapore
• Campus-sited office location with a host of facilities
• In-building perks including gym, game room and coffee room

Applications

Please send your application including cover letter and CV to [email protected].

Only shortlisted candidates will be contacted.

We look forward to your application.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Fellow in the department of Ophthalmology, Yong Loo Lin School of Medicine. The department’s current data science efforts focus on building consciousness inspired machine learning to improve generalization and robustness of AI in medicine. The department has strong computational and medical expertise and significant amount of medical data and computational resources. Appointments will be made on a 2-year contract basis in the first instance, with the possibility of extension – amend as appropriate.

Purpose of the post

The post doc fellow will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the machine learning projects on time. The principal role will be to work in AI and/or big data analytics project such as modeling building and algorithm development.

Main Duties and Responsibilities

The post doc fellow will liaise with the relevant personnel in department to smooth the process of research and will be accountable to the Principle Investigator (PI) and will be able to:

1. Independently conduct deep/machine learning in medicine or fundamental deep/machine learning projects under instruction by the PI
2. Oversee the general management of the projects.
3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. holds a PhD degree and higher in computer science, engineering, biomedical informatics, data science, or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge of deep/machine learning or biomedical informatics;
4. have experiences in the fundamental deep/machine learning or deep/machine learning in medicine

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

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Hybrid Integrated Next-Generation µ-Electronics (SHINE) research centre in National University of Singapore (NUS) is looking for applicants for a Research Engineer position to support in the performance of research functions such as performing data collection, sample fabrication, process fabrication, sample characterization and other research activities that may be required. Successful applicant will work closely with our researchers, students, and professors to understand and derive meaningful results from scientific experiments and data.

Responsibilities will involve:

1. Work under supervision of Research Fellow to meet and improve response time.
2. Perform cleanroom and wet processes in sample fabrication.
3. Characterize fabricated samples using microscope, scanning electron microscope, etc.
4. Document research activities, performed tasks, characterized in report form (Microsoft Word).
5. Identify, feedback, and address engineering challenges.
6. Assist in equipment purchase, commissioning, and ownership.

Qualifications

• A bachelor’s or higher degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred.
• Candidate with experience in microelectronic research, characterisation, metrology, electrical testing, and strong in data analysis will have advantage.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to fixed term contract.

Job Description

The Office of Business Development and Industry Engagement (OBI) is looking for a suitable candidate to provide admin support and be part of the team in the research translation journey of bringing GIS’ research to industry. The candidate will play an active role in liaising with our research collaborators/partners. The candidate shall demonstrate keen business acumen by understanding the collaborators’ technical requirements and coordinating internally with the various stakeholders to deliver viable business solutions.

1. Lead and organise legal documentation (i.e. NDA, MTA, RCA, etc) drafting, review, discussion, and negotiations with collaborators in accordance with A*STAR’s guidelines
2. Develop a network of institutional relationships with the industry, academic institutions, clinical communities and government agencies
3. Create and identify strategic collaborative partnerships with potential industrial collaborators to introduce GIS’ capabilities.
4. Plan, coordinate, organise and host meetings/symposia/visits/trips – locally and overseas
5. Develop sustainable relationships with new and existing partners throughout the lifecycle
6. Work with various A*STAR stakeholders to manage various business development/research partnership processes
7. Create, support, track and measure all engagements with assigned partners/collaborators
8. Under IP management and TDs, the candidate will liaise with PIs on Technology Disclosures and ETPL IP filing and participate in lab notebooks audit with other team members
9. Assist with other ad-hoc duties

Job Requirements:

1. Diploma/Degree in scientific discipline
2. 1-2 years of industry or research experience
3. Well versed in written, communication, organisational and administrative skills
4. Customer-oriented and a team player
5. Resourcefulness and ability to work independently with minimal supervision

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

To conduct research in area of composite hybrid thermoelectric materials and devices

Qualifications

1. A Ph.D. degree in area of Polymer Science and Engineering, or Physical Chemistry of materials.
2. Equipped with skills in polymer modification, polymer processing, or materials synthesis.
3. Good at materials characterization using TEM, SEM, SAXS/WAXS, Light scattering, Rheometer, Thermal and chemical analysis, and Mechanical testing.
4. Self-motivated and demonstrated a good track record in quality publication.
5. 1-2 years postdoc experience is an advantage while Ph.D. graduates with no working experience are also welcome to apply.

As a Heterogeneous Integration Engineer, candidate will play a pivotal role in integrating modules, utilizing a wide spectrum of integration processes such as pick & place and flip chip bonding to assemble multiple components into a functional module. Additionally, you will be involved in encapsulating the modules to withstand reliability tests. This is an exceptional opportunity to work with state-of-the-art heterogeneous integration equipment, engage in ground-breaking research, and explore the frontiers of advanced electronics modules.

Key responsibilities for this role include:

Process development: Drive the advancement of various heterogeneous integration processes such as pick & place, flip chip bonding, underfill, solder ball attachment, and encapsulation. Your focus will be on achieving high reliability for electronic modules. This includes evaluating processing materials, executing "design of experiments" (DoE), performing metrology inspections, and reporting including data analysis.

Intellectual property and know-how development:

Seize the opportunity to conceptualize and develop intellectual properties and valuable know-how that aligns with industry needs.

Job Requirements:

• Degree/Master in Materials Science, Mechanical, Manufacturing, Chemical or Chemistry, and Electrical or Electronics.
• 2 years experience in semiconductor processes such as pick & place, flip chip & encapsulation will be added advantage.
• Fresh graduate is welcome to applied for this position of “Heterogeneous Integration Engineer”.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done.

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 veterinary officer will report to the Attending Veterinarian and Directors' Office and work closely with the veterinary team and technicians.

The role of the veterinary officer is to be responsible for, but not limited to the following:

• Ensure the welfare and health of research animals including rodents and fish
• Prevention, alleviation and minimisation of pain and distress of animals
• Provision of scientific research support, information, and services
• Development of animal husbandry systems and facility operational management
• IACUC responsibilities
• Education of scientific, animal care and ancillary staff
• Any other exigencies of duties as directed by the Attending Veterinarian, Directors, or senior BRC staff

Job Requirements:

• Degree in Veterinary Science or Veterinary Medicine with eligibility to apply for an AVS veterinary licence.
• Prior work experience in research animal facility is not required but will be considered favourably.

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

Job Description:

The laboratory of EpiMetaGenomics (https://bensonchenlab.com) is seeking to recruit a skilled and motivated research officer interested in functional genomics. We are particularly interested in candidates with expertise in high-throughput sequencing, microbiology, molecular biology, and cell culture techniques. The candidate will work with a team to develop in vitro and in vivo functional assays, collect and process tissue samples, and assist in the day-to-day operation of the lab. Please send the resume to Dr. Chen ([email protected]) directly. Only shortlisted candidates will be contacted.

Job duties & responsibilities:

1. Laboratory maintenance: assist in organization and upkeep of laboratory supplies. Take on administrative roles where necessary, such as procurement of lab supplies, lab safety oversight… etc.

2. Laboratory procedure: perform various biological assays, including PCR, DNA/RNA purification, protein extraction, bacterial and mammalian cell culture.

3. Carefully and thoroughly document all procedures performed and results generated

4. Communicate, design, organize, and conduct the experiments efficiently. Complete assigned tasks on time.

Requirements:

• Bachelor Degree in relevant fields with previous experience in a research lab
• Solid knowledge in molecular biology
• Highly motivated and passionate about scientific research
• Ability to follow protocol precisely and have excellent communication skills
• Team player and have a strong motivation to achieve the goals

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

Job Description

The Office of Business Development and Industry Engagement (OBI) is looking for a suitable candidate to provide admin support and be part of the team in the research translation journey of bringing GIS’ research to industry. The candidate will play an active role in liaising with our research collaborators/partners. The candidate shall demonstrate keen business acumen by understanding the collaborators’ technical requirements and coordinating internally with the various stakeholders to deliver viable business solutions.

1. Lead and organise legal documentation (i.e. NDA, MTA, RCA, etc) drafting, review, discussion, and negotiations with collaborators in accordance with A*STAR’s guidelines
2. Develop a network of institutional relationships with the industry, academic institutions, clinical communities and government agencies
3. Create and identify strategic collaborative partnerships with potential industrial collaborators to introduce GIS’ capabilities.
4. Plan, coordinate, organise and host meetings/symposia/visits/trips – locally and overseas
5. Develop sustainable relationships with new and existing partners throughout the lifecycle
6. Work with various A*STAR stakeholders to manage various business development/research partnership processes
7. Create, support, track and measure all engagements with assigned partners/collaborators
8. Under IP management and TDs, the candidate will liaise with PIs on Technology Disclosures and ETPL IP filing and participate in lab notebooks audit with other team members
9. Assist with other ad-hoc duties

Job Requirements:

1. Degree in scientific discipline or Diploma holder with relevant experience of 5 years
2. 1-2 years of industry or research experience
3. Well versed in written, communication, organisational and administrative skills
4. Customer-oriented and a team player
5. Resourcefulness and ability to work independently with minimal supervision

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

To conduct research in area of composite hybrid thermoelectric materials and devices

Qualifications

1. A Ph.D. degree in area of Polymer Science and Engineering, or Physical Chemistry of materials.
2. Equipped with skills in polymer modification, polymer processing, or materials synthesis.
3. Good at materials characterization using TEM, SEM, SAXS/WAXS, Light scattering, Rheometer, Thermal and chemical analysis, and Mechanical testing.
4. Self-motivated and demonstrated a good track record in quality publication.
5. 1-2 years postdoc experience is an advantage while Ph.D. graduates with no working experience are also welcome to apply.

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

Nested at the NUS Department of Psychological Medicine, the Mind Science Centre (MSC) is a faculty-volunteer collaborative partnership. MSC undertakes mental health research across the age continuum to translate outcomes into effective, scalable interventions in Singaporean and Asian communities.

The position provides an opportunity to engage with and conduct translational mental health research concerning children, adolescents and emerging adults. The Youth Epidemiology and Resilience (YEAR) Study is a nationwide epidemiology study that aims to survey the mental health status and resilience of Singaporean adolescents aged 10-18 years old. You will also have the opportunity to assist on other active research projects such as the Intranasal Oxytocin for Autism Spectrum Disorder Study, as well as the Youth and Emerging Adults (YEA) Study.

Job Description

• Assist the Principal Investigator in submitting study notifications to the NHG Domain Specific Review Board (DSRB) or Institutional Review Board (IRB) for ethics review
• Attend project-related initiation, close-up and other project related meetings
• Conduct literature reviews to inform the planning of research activities
• Plan, organize and coordinate routine study activities workflow
• Assist investigators in the screening and recruitment of potential participants/ volunteers according to study protocol
• Assist with on-site research study activities
• Coordinate and follow-up with participants on study requirements
• Handle data entry and cleaning
• Maintain Investigator Site Files and ensure that all study documents are complete and up to date
• Prepare for and follow up on Study Monitoring/ Audit Findings
• Provide regular study updates to investigators/ sponsor companies and manager(s) for study-related issues
• May also be involved in other research projects as assigned by the Principal Investigator

Qualifications

• Good Bachelor Honours Degree or Master’s in Psychology or Science in Research from a recognised institution
• Able to perform analysis using statistical software such as SPSS
• Good written and oral communication skills
• Team-oriented with strong coordination and organisational skills
• Experience with research is a plus
• Have strong interest to pursue post graduate study in Clinical Psychology or Master of Science in Research

[What the role is]

You will grow your career at NEA’s Environmental Health Institute (EHI), where you will design and conduct field and laboratory research to assess and mitigate environmental exposure concerns in the built environment. Key areas of focus include indoor air quality, ventilation systems, and environmental transmission of COVID-19 and other diseases.

[What you will be working on]

You will contribute to the development of national environmental public health policies and work with stakeholders to translate scientific findings into policy and operations. As a member of the NEA/EHI family, you will have numerous opportunities for personal development, not only in science, but also in other areas such as leadership, management and communication.

As a member of the NEA/EHI family, you will have numerous opportunities for personal development, not only in science, but also in other areas such as leadership, management and communication.

[What we are looking for]

Job Requirements:

• Bachelor or Master’s degree in science, engineering, or related disciplines
• Excellent knowledge of indoor air quality management and air-conditioning and mechanical ventilation (ACMV) systems, as well as air-cleaning technologies
• Experience in designing and leading field risk assessments and research projects on indoor air quality and ventilation
• Experience in data analysis/statistical analysis
• Experience in the study of airborne microbiome and pollutants (including sampling, laboratory analysis, and data analysis)
• Possesses a valid Class 3 driver’s licence and willingness to drive NEA’ car to field sites is preferred
• Capacity for systems thinking and inclination for trans-disciplinary science
• Strong interest in public health research, policy, and operations
• Excellent organisational, analytical, communication, and interpersonal skills
• Able to multi-task and work independently in a fast-paced environment
• Open to developmental opportunities

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

To apply, please proceed to Careers@Gov at https://sggovterp.wd102.myworkdayjobs.com/PublicServiceCareers/job/NEA-BIOPOLIS-HELIOS/Principal-Senior-Research-Officer--Built-Environment-Branch-_JR-10000026500

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 Natural Language Processing Group at the National University of Singapore invites applications for Research Fellow in the Department of Computer Science, School of Computing, to work on large language models, with application to text summarization.

The initial appointment is for a period of one year, with possible extension subject to research funding availability.

Qualifications

The candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, deep learning, or related areas. Strong programming skills and good command of English (both spoken and written) are also required.

Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of 3 referees.

Teacher of Secondary Science (Physics, Chemistry, Biology, ESS)

An outstanding and inspirational Science Teacher is required for August 2024 due to growth in the Secondary School. A desire to teach through Years 7 to 13 is essential and the ability to teach IGCSE Science and your specialist subject (Biology, Physics, Chemistry or ESS) at IB Diploma at both SL and HL. Candidates with IB Diploma experience are particularly welcome to apply.

The successful candidate will be passionate about driving high quality teaching and learning in an inclusive school and committed to making a difference to the lives of the young people in their care. They will be a reflective practitioner and an effective collaborator, relentless in the pursuit of ‘better’ practice. Staff contribute to our pastoral care and well-being programme and to our co-curricular programme, making a full contribution to our vibrant community. A pastoral leadership role may be available, so candidates are strongly advised to indicate interest in applications.

We are an inclusive international school committed to ‘success for all’, offering diverse programmes to meet the needs of our learners.

The successful candidate will be passionate about learning and committed to making a difference to the lives of the young people in their care. They will be a reflective practitioner and an effective collaborator, relentless in the pursuit of ‘better’ practice.

We are a school with a strong sense of community amongst staff and students. Staff contribute to our pastoral care and well-being programme and to our co-curricular programme, making a full contribution to our vibrant community.

Safeguarding

At Nord Anglia Education we are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and promoting the welfare of all our students irrespective of race, ability, religion, gender or culture.

All post holders in regulated activity (having regular unsupervised contact with children) are subject to appropriate national and international vetting procedures including satisfactory criminal record checks from both your country of residence/birth and any country of residence within the last 10 years.

Project Overview

The Singapore-MIT Alliance for Research and Technology (SMART) Centre invites applications for Postdoctoral Associate positions in the area of crystallization science and particle engineering. The successful candidate will be expected to work on the design and engineering of advanced microparticle-based pharmaceutical drug products comprising soft (polymer/hydrogel) matrices containing crystalline drug particles, typically made using microfluidic methods. This work will be conducted in close collaboration with a consortium of pharmaceutical companies (GSK, Merck and Pfizer). He/she will be reporting to Prof. Patrick S. Doyle (MIT, SMART) and Prof Saif A. Khan (NUS, SMART) and work with their team of researchers and collaborators.

Responsibilities

Successful candidates will be working closely with CAMP researchers and industry collaborators to develop a high-throuhgput process to manufacture engineered particles.

Principal duties are

• Generate various pharmecutical particles using microfluidics devices.

• Perform appropriate analysises to characterize the engineered particles.

• Perform materials testing experiments.

• Understand a process scale-up in order to translate the technology into an industrial domain.

• Prepare reports for industrial sponors.

Requirements

• PhD degree in chemical/materials engineering or related fields.
• Experience in crystalization science, materials characterizatino, microfluidics, drug product formulation/delivery.
• Ability to supervise junior members of the team.
• Ability to work as a team and collaborate with industrial and academic collaborators.
• Excellent in communication, both written and oral in English.

Job Description

The Systems Genetics group and laboratory led by Assoc. Prof. Enrico Petretto is embedded within the Duke-NUS Centre for Computational Biology. The lab has substantial expertise in Systems Biology analysis of various -omics and next-generation sequencing data, and a substantial computational infrastructure to support next-generation sequencing and Big Data analysis. The research focuses on the genetic regulation of complex diseases, including fibrotic heart disease, or kidney disease. For more information, please visit: https://www.duke-nus.edu.sg/cvmd/the-team/primary-appointment/Detail/petretto-enrico-giuseppe

We are looking for a wet-lab Research Assistant, who has experience in working with mice models and performing molecular and cellular experiments to study cardio/pulmonary/kidney and immune-fibrotic traits, with the aim of deciphering the primary genetic factors and regulatory networks underlying cardio-metabolic diseases. The position will be for a period of 2 years, with possibility of renewal depending on the candidate’s work performance and contribution to the project .

The selected candidate will provide expertise in conducting research activities within the overall scope of the research project, including but not limited to the following:

• Maintain animal colonies, breeding, preparing animals for surgery or intravenous injection, obtaining samples and measurements, administering medicine and monitoring the animal’s environment (i.e. mice cages).
• Perform molecular and cellular biology experiments, including histology procedures, cell/tissue culture, PCR and western blotting.
• Prepare reagents/buffers/solutions/culture medium required for the experiments.
• Contribute to experiment management (including but not limited to planning, organizing, conducting, and communicating research studies).
• Accurate documentation (i.e. lab log book/notes), reporting and monitoring of experimental results and research findings
• Evaluate and interpret collected research data / findings and make appropriate recommendations or conclusions.
• Prepare oral presentations or written reports/scientific manuscripts.
• Contribute to laboratory management (including maintaining lab registries, inventories, safety and ethics, procurement of lab materials and consumables, maintenance of lab equipment) to ensure optimal day to day lab operations.
• Provide guidance to junior researchers as well as undergraduate and graduate students, and occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s / Master’s Degree in a related scientific area (e.g. Life Sciences/Biomedical Sciences) with at least 2 years of relevant work experience.
• Demonstrated laboratory skills and expertise, in supporting various research activities.
• Experience in animal work (animal handling and maintenance), in particular rodents is mandatory.
• Knowledge of scientific background relevant to the research area.
• Strong team player who is able to prioritise, multi-task and work collaboratively/harmoniously in a diverse workforce.
• Excellent command of English and communication skills.

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Associate (Health economics and medical innovation)

Research Associate positions are available in the Saw Swee Hock School of Public Health, National University of Singapore, to support the Principal Investigator Assistant Professor Wang Yi in research projects in the areas of health economics, early health technology assessment and medical innovation development.

The research team works on the crossroads of health economics and medical innovation development. We work on diverse projects including theoretical framework development, method development, and empirical works in collaboration with clinicians, medical innovators, and decision makers.

The successful candidate will be expected to perform research administration, conduct research, communication with collaborators, disseminate research findings, and participation in capacity building through conducting workshops for local and regional participants. The projects assigned to the RAs will be aligned with their skillsets and career goals. The RAs will be involved in other projects as well for continuous learning and peer support.

The RAs will be presented with various opportunities to further develop their skills to ensure personal growth. We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression. The team will also support the RAs to develop their own research ideas and projects provided they show self-motivation and a good understanding of the field.

Requirements:
Applicants are expected to possess a master’s in related field such as Economics/Health Economics/Public Health/Statistics. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants with following experiences and skills are preferred:
• Experiences and/or research interest in health technology assessment, early health technology assessment, and/or medical innovation development
• Health economic modelling with Markov cohort model/ discrete event simulation
• Data analysis or data management using electronic medical records, clinical trial data, survey data, and observational data
• Systematic review and meta-analysis

Software requirement:
• R, STATA, or other similar software

Recruitment is open immediately and will continue until the position is filled. To apply, please send:
• Cover letter highlighting short-term and long-term career goals,
• Curriculum Vitae containing details of two named referees,
• A sample of published work and roles in the projects, if applicable.

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 Asian Institute of Digital Finance (AIDF)

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

The Research Assistant will be responsible for working closely with the Principal Investigator on quantitative finance and fintech research projects. In particular, the research assistant is going to develop Machine Learning/Reinforcement Learning methods and apply them in the field of quantitative finance and risk management.

• Data Management: Utilize proficiency in SQL, NoSQL, and vector databases to collect, clean, and manage data for research projects.
• Research Assistance: Collaborate on research initiatives focused on credit recovery efficiency, applying quantitative finance and econometric methodologies to analyze data and develop models.
• Machine Learning: Apply expertise in reinforcement learning and traditional machine learning algorithms to develop predictive models and optimization strategies for credit recovery processes.
• Software Development: Leverage software development experience to create and maintain tools and applications necessary for research and data analysis.
• Cloud Infrastructure: Manage and optimize cloud infrastructure in AWS to support research initiatives and ensure scalability.
• Programming: Utilize skills in Python, TypeScript, and JavaScript, along with frameworks like PyTorch, to implement and test quantitative models.
• Financial Expertise: Apply knowledge of finance, especially in risk management, to contribute valuable insights to research projects.

Qualifications

• The candidate should have a Bachelor degree in Mathematics/Quantitative Finance or a related field. The candidate should have strong familiarities with quantitative finance problems such as portfolio optimization, credit rating, market making, and derivative pricing.
• The candidate should have expertise and research experiences in the areas of machine learning/reinforcement learning on quantitative finance problems. The candidate should have deep understandings of Markov Decision Process, Model-based and Model-free RL, Value/Policy Iterations, Q-learning, as well as designing and training of Neural Networks.
• Candidates who have experience with model uncertainty, model robustness, and inverse learning will be highly preferred.
• The candidate should have shown academic excellence and promising research potential. Strong publication record in internationally well-recognized journals is highly preferred. International scholarly visibility (e.g. conference presentations, academic visits) would also be favoured.
• The candidate should be an independent researcher as well as a good team player. The potential research projects might involve collaboration from various disciplines. Strong interpersonal, leadership, and project management skills are highly preferred.

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.

Job Description

We are recruiting for a Research Assistant position in an Immunology laboratory. The staff will be involved in research projects centering on the biology of human natural killer cells. The projects will utilize protein chemistry, genetic characterization, immunological assays, advanced flow cytometry, clinical specimen processing, bioinformatics and other techniques. As such, applicants are expected to have sound knowledge in immunology and immunological assays, and possess robust long-term mammalian cell sterile culture techniques. The staff must be willing to tackle and troubleshoot difficult experiments, search for solutions, and be able to overcome project challenges

The staff will be responsible for lab management, procurement and inventory maintenance, as well as financial and safety documentation. Applicants are expected to possess excellent writing and presentation skills in English. We expect the staff to be well-organized, be able to pay attention to detail, and be willing to contribute to the missions of the laboratory team.

Interested applicants please send:

(1) A current CV

(2) A list of at least three investigators who can be contacted for reference (e-mail and phone)

(3) An application letter describing work experience, motive for application, and how the applicant can contribute to the laboratory

Shortlisted applicants will be contacted for interview.