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 Us

Founded in the same year that Singapore gained independence, NUS Business School stands today among the world’s leading business schools. It is distinctive for offering the best of global business knowledge with deep Asian insights, preparing students to lead Asian businesses to international success and to help global businesses succeed in Asia.

For more than 50 years, NUS Business School has offered a rigorous, relevant and rewarding business education to outstanding students from across the world. That would not have been possible without a group of dedicated professionals who are passionate about building a positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family!

To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/

Job Description

The new Centre for Investor Protection aims to undertake independent research, public education and related activities to promote the improvement of investor protection in Singapore and beyond. Projects conducted by the centre should have significant implications for policy and practices relating to investor protection. The key types of research and activities to be conducted are:

(a) Practice and academic research
(b) Case studies
(c) Public education seminars and workshops
(d) Other activities directly related to the centre’s purpose

The Research Manager will report to the centre Director and is responsible for overseeing and managing all aspects of the centre’s projects. This includes working with the centre Director and project leaders in designing and implementing research methodologies, analyzing data, providing actionable insights to key stakeholders; and overseeing and managing the writing and editing of case studies. The Research Manager will also be responsible for managing a team of researchers and student assistants and ensuring the successful execution of projects within established timelines and budgets.

The Research Manager is also expected to provide administrative and operational support for the centre, co-ordination of events, and collaborations with both internal and external parties.

Responsibilities (including but not limited to)

• Working with the centre Director and Project Leaders to develop and implement research strategies and methodologies, including designing research studies, such as developing survey questionnaires, interview protocols, and data collection methods.
• Manage the research process, including data collection, analysis, and reporting.
• Oversee and manage the publication of an annual collection of case studies.
• Ensure that centre projects are conducted within established timelines and budgets.
• Lead a team of researchers and student assistants, providing guidance and support throughout the projects.
• Monitor industry trends and current issues to inform research strategies.
• Prepare and assist with presentation of research findings to key stakeholders.
• Develop and maintain strong relationships with external research partners and vendors.
• Stay updated with the latest research tools, methodologies, and technologies, and recommend their adoption as appropriate.
• Document all research related activities, budgets and outputs.
• Assist in the planning, coordination and administration of the centre’s events and visitors.
• Work with auditors to ensure the proper documentation of financial accounts of the centre.
• Manage procedural matters regarding hiring of student assistants, contingent hires, facilitation of quotations and tracking of purchase and invoices.
• Any other ad-hoc duties as assigned by the centre Director.

Requirements/Competencies

• Possess high level of integrity.
• Strong analytical and problem-solving skills, with the ability to analyse complex data sets and generate meaningful insights.
• Excellent project management skills, including the ability to manage multiple projects simultaneously and meet deadlines.
• Excellent writing, communication and presentation skills, with the ability to effectively communicate research findings particularly to investors, practitioners and policy makers.
• Strong attention to detail and a commitment to producing high-quality output.
• Excellent organization and time-management skills.
• Strong sense of initiative, commitment and self-driven.
• Ability to work effectively across departments within the University.

Qualifications

• Bachelor’s degree in a related field (such as accounting, business or social sciences).
• At least 3 years of experience, preferably undertaking research projects that are practice or policy-related in topics relevant to investor protection or corporate governance.
• Strong passion in the area of corporate governance or investor protection; experience in these areas will be a plus.
• Proven experience in research management, including designing and conducting research studies, data analysis, and reporting.
• Proficient in using research tools and software for collecting and analysing large data obtained from public information, such as company announcements and annual reports.

(Appointment job grade will commensurate with the selected candidate's experience)

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.

The Compound Manager is responsible for the efficient handling and organization of chemical compounds within EDDC. This includes collaborating with cross-functional teams, maintaining an organized and well-documented compound inventory, and adhering to safety and regulatory guidelines. The Compound Manager also manages time and automation resources, serves as the primary point of contact for compound management, and develops and executes detailed scripts for all wet plating processes.

Job Description:

Responsibilities include but are not limited to:

• Manage the DMSO stock compound collection and all incoming sample plating requests.
• Support all screening projects in EDDC including storage and distribution.
• Manage time and automation resources supporting all wet compound plating activities.
• Serve as the primary point of contact for compound management.
• Timely Documentation of all compound handling tasks.
• Develop liquid handler methods, troubleshoot, and perform basic maintenance.
• Conduct process mappings, gap analysis, and develop executable plans of action.
• Engage with screeners to design, develop, and implement custom fully automated processes to increase throughput and walk-away time.
• Write and execute detailed scripts for all wet plating processes.
• Conduct bi-weekly QC of all liquid handling instruments and compound stores.
• Conduct annual QC of department compound collections.
• Report monthly metrics to the team.
• Create and verify the accuracy of all inventory files and plate maps available to the screening community.

Job Requirements:

• Bachelor’s or Masters Degree in biological sciences, chemistry or related field
• At least 5 years academic or industrial experience in biology or chemistry laboratories as a technician or research officer.
• Experience with inventory management of samples or compounds, database software.
• Strong organisational and communication skills, demonstrated ability in establishing and managing research partnerships.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment
• Willingness to learn new techniques and adapt to changing priorities
• Experience in lab automation and liquid handling platforms preferred.
• Knowledge and experience of the process of performing high throughput screening assays using microplates preferred.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

The NTU School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Assistant. 

We are seeking a dedicated and skilled Research Assistant to join our dynamic research team. The ideal candidate will have a strong background in PCB design and fabrication, along with the capability to assist in various testing procedures and administrative tasks. This role is pivotal in supporting the team in achieving research objectives and advancing our technological innovations.

Key Responsibilities: 

1. PCB Design and Fabrication:

• Design and develop Printed Circuit Boards (PCB) according to project specifications.

• Liaise with vendors for PCB fabrication, ensuring quality and adherence to timelines.

• Perform troubleshooting and rectification of PCB issues.

2. Testing Assistance:

• Assist in setting up and conducting a variety of tests on electronic components and systems.

• Collaborate with the research team to develop test procedures and documentation.

• Analyze test data and provide insightful feedback for improvements.

3. Project Support:

• Support the project team in various stages of the research and development process.

• Ensure that project milestones are met and comply with quality standards.

• Assist in the preparation of reports and presentations for internal and external stakeholders.

4. Administrative Duties:

• Coordinate and manage project-related paperwork and documentation.

• Schedule meetings and manage communication among team members.

• Oversee the maintenance and inventory of laboratory equipment and supplies.

Job Requirements: 

• Bachelor’s degree in Electrical Engineering, Electronics, or a related field.

• Proven experience in PCB design and fabrication.

• Familiarity with testing equipment and methodologies.

• Strong analytical and problem-solving skills.

• Excellent organizational and administrative abilities.

• Ability to work collaboratively in a team environment.

• Proficiency in relevant software tools (e.g., CAD, PCB, FPGA design software).

• Good communication skills, both written and verbal.

We regret that only shortlisted candidates will be notified.

Job Description

At our Company, we are committed to be the premier, research-intensive biopharmaceutical company and are dedicated to providing leading innovations and solutions for today and the future. Our mission is to discover, develop and provide medicines and vaccines that save and improve lives around the world. We strive to transform breakthrough science into novel therapeutics and vaccines and our scientific curiosity drives us to invent solutions to some of the world's most challenging diseases. Many begin in our research laboratories, where we push the boundaries of science with the hope and expectation that the medicines and vaccines we invent will lead to better health for society for generations to come.

In Singapore, our research centre focuses on identifying and validating new drug targets, exploring innovative therapeutic modalities and leveraging clinical studies and patient–derived material to understand biomarkers of disease or therapeutic response to increase our understanding of human biology and to drive a therapeutic pipeline to address unmet medical needs. Our state-of-the-art laboratory supports discovery biology and translational medicine and is an integral part of our Company's world-class network for drug and vaccine discovery.

As an intern within our research laboratories, you will gain the opportunity to work with talented and dedicated scientists, learn from leading industry experts, gain exposure and professional experience working for a research-driven enterprise; and use your passion, creativity, knowledge and collaboration skills to find solutions to challenging problems in your day-to-day work

The department's mission is to identify and validate novel targets across various therapeutic areas with multiple discovery biology units.

Over the past decade, mRNA therapeutics have shown promise in a broad range of therapeutic applications, including infectious diseases, genetic disorders, cancer, regenerative medicine, and vaccines. They have gained significant attention and have shown clinical success, especially with the recent development and emergency use authorization of mRNA-based COVID-19 vaccines.

A key feature of mRNA medicines is their high degree of customizability. Optimal production of therapeutic proteins from mRNA medicines requires a thorough understanding of the interplay between nucleotide sequence, nucleotide modification and RNA structure in affecting translational efficiency and mRNA stability. This project aims to establish a workflow to quantify mRNA half-lives in a high throughput manner within cells and to understand how different physiological conditions (within LNPs or ex vivo) impact mRNA half-lives. The methods established in this project could ultimately drive different mRNA therapeutic pipeline projects.

Current Employees apply HERE

Current Contingent Workers apply HERE

Secondary Language(s) Job Description:

What You Will Do:

The Research Intern will work closely with an assigned scientific supervisor on a lab-based research project in biomedical research.

This position will collaborate in a multi-disciplinary way, specifically within both the Screening Technologies & Analytics Group and Exploratory & Enabling Sciences Group to develop methods to measure and quantify the stability and corresponding protein output of therapeutic mRNAs. Protocols, methods and workflows established from this project would enable our understanding of how different mRNA modifications alter mRNA stability. The knowledge generated would support the progression of our mRNA therapeutics pipeline and advance key partnerships.

As an intern within our research laboratories, you will gain the opportunity to work with talented and dedicated scientists, learn from leading industry experts, gain exposure and professional experience working for a research-driven enterprise; and use your passion, creativity, knowledge and collaboration skills to find solutions to challenging problems in your day-to-day work.

At the end of the internship, the candidate would:

• Gain hands-on experience with different molecular biology, imaging and analytical techniques
• Develop deeper understanding of steps involved in assay development and the drug discovery process.
• Deep dive into RNA biology and optimization of mRNA therapeutics
• Develop scientific thinking and communication skills through scientific writing and presentations.

Job Description:

• Optimize analytical methods to determine mRNA integrity (gel electrophoresis, Bioanalyzer, LC/MS)
• Maintain in vitro 2D cell cultures and perform cell-based assays.
• Perform data analysis and develop methods to quantify mRNA half-lives.
• Document relevant experiments and results in electronic notebooks
• Participate, communicate, and present research results in internal scientific discussions between cross-functional teams

Qualification:

• Enrolment in an Undergraduate or Master’s program leading to a Degree in a Biomedical Sciences, Biological Sciences or Life Sciences-related discipline. Other programmes can be considered on individual merit.

Preferred Experience and Skills:

• Working knowledge of laboratory-based methodologies such as aseptic cell culture techniques, molecular biology, imaging
• Hands-on laboratory experience preferred.
• Ability to work with minimal supervision.
• Strong written and oral communication skills

Who We Look For:

• Strong interest in working in a research-intensive environment.
• Excellent communication and facilitation skills
• Interpersonal skills necessary for working in a highly collaborative, cross-functional working environment.
• Have a positive, proactive, can-do attitude
• Passionate for learning and a good team player.
• Strong problem-solving skills
• Availability for 6 months in a full-time capacity preferred

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Shift:

Valid Driving License:

Hazardous Material(s):

The NTU School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Associate. 

We are currently seeking a highly skilled and motivated Research Associate to join our team, specializing in Embedded Systems and Algorithm Development. The ideal candidate will be deeply involved in the development and testing of embedded systems, focusing on algorithm development, PCB build, and testing. This position is crucial for advancing our research objectives in innovative technology solutions.

Key Responsibilities: 

Design and Development:

• Lead the design and development of electronic boards tailored to project requirements.

• Develop schematics, layout PCBs, and produce prototype boards for testing.

Microcontroller Programming:

• Write, test, and debug code for various microcontrollers, particularly STM32, Arduino, and similar platforms.

• Integrate software with hardware designs to create seamless electronic systems.

Machine Learning (Desirable, Optional):

• Apply machine learning techniques in embedded systems as required.

• Collaborate with data scientists and machine learning experts to optimize algorithms for integration into hardware platforms.

Testing:

• Carry out functional testing on prototypes to ensure designs meet project requirements.

• Troubleshoot and resolve issues related to electronic circuits and microcontroller software.

R&D Support:

• Collaborate with the R&D team in brainstorming, design discussions, and review meetings.

• Keep up-to-date with emerging technologies and techniques in electronics and software that can benefit the team's projects.

• Provide necessary documentation, including design notes, testing results, and user manuals.

Job Requirements: 

• Master’s degree in Electrical Engineering, Computer Science, or a related field.

• Strong background in embedded systems and algorithm development.

• Experience with PCB design, build, and testing.

• Proficiency in programming languages such as C/C++, Python, or others relevant to embedded systems.

• Solid understanding of electronics and microcontroller-based systems.

• Excellent analytical, problem-solving, and organizational skills.

• Ability to work effectively in a team and independently.

• Space technology related experience will be preferred.

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a new interdisciplinary school at NTU, inaugurated in August 2022. Our school hosts world-class education and research programs in organic and inorganic chemistry, physical chemistry, chemical engineering, and bioengineering. We aim to nurture future-ready researchers with the ability to tackle new challenges in chemicals manufacturing, healthcare, energy, food, and other important sectors.

This position is responsible for aiding the development of new synthetic methods in the labs of Asst Prof Phillip Grant, which aim to improve the efficiency of organic synthesis.

Key Responsibilities:

• Synthetic research in organic synthesis of small molecule drug-like compounds

• Characterisation of organic compounds

• Development of new methods to synthesise drug-like compounds

• Maintenance of key instruments

• Contribution to lab duties; e.g., purchase of chemicals

• Drafting reports and papers

Job Requirements:

• A PhD in organic chemistry.

• Prior experience in synthetic methods development and/or target oriented synthesis.

• A good command of writing and speaking in English is preferred.

• Experience in reaction optimisation.

For more information about the Grant lab, please visit (https://grantlab.wixsite.com/grant-lab).

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 postdoctoral fellow will work closely with Asst. Prof. Patrick Rebentrost in the intersection of quantum algorithms and optimization, machine learning and/or finance. Sample topics include quantum algorithms for problems in supervised and unsupervised machine learning, algorithmic learning theory, and online learning, and quantum algorithms for financial problems such as portfolio optimization, pricing of financial derivatives, and hedging. The job will include the development of quantum algorithms in these areas, with provable quantum advantages and provable guarantees, when possible, in fault-tolerant models of quantum computation. The job will also include the development of algorithms that are easier to execute on available hardware such as variational and post-variational methods and quantum approximate optimization. Furthermore, the aim is to provide hardware implementations on available devices, comparisons between available hardware providers, and classical simulations of the quantum algorithms. For this purpose, the successful applicant will be granted significant independence concerning their research and receive generous travel funding. They will be expected to contribute to the group, for example by co-supervising student projects and assisting with outreach activities.

Qualifications

• Track-record working on quantum algorithms and/or quantum information. Candidates with expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply.

• PhD in electrical engineering, computer science, physics or applied mathematics.

• Well-rounded research profile and ability to communicate research.

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

Our PLSE research group in National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). We are looking for a highly skilled and motivated research assistant to join our team and help in ongoing projects related to large language modelling. This role involves conducting advanced research and development in the field of AI and SE, with a focus on improving the robustness and effectiveness of large-scale models. The candidate will play a key role in devising innovative algorithms, conducting experiments, and contributing to the advancement of our technology and products.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience in the following research areas:

• Artificial Intelligence and Machine Learning
• Programming Languages & Software Engineering

Key Responsibilities
• Assist in research projects assigned.
• Design and implement algorithms to enhance the efficiency and robustness of AI systems.
• Publish research findings in top-tier conferences and journals.
• Collaborate with cross-functional teams to integrate AI solutions into products.

Only shortlisted candidates will be notified.

Requirements

• A Bachelor’s or higher degree with Honours in Computer Science or a relevant area (e.g., Math, Analytics).
• Proven experience in research of large language models and deep learning algorithms.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
• Ability to conduct independent research and solve problems.
• Experience in research paper writing.
• Good communication and collaboration skills.
• Experience with adversarial training and algorithm optimization is a plus.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is in search of candidate for a research engineer position to assist in Prototype Development. The candidate will work closely with our researchers, students, and professors to understand and derive insights from scientific experiments and data. The successful candidate will be assisting in the research of microelectronic devices and circuit designs for reliable hybrid component integration from a thermomechanical aspect to enable broad class of applications for dual-use relating to IoT microelectronics and Flexible Hybrid Electronics (FHE).

Responsibilities will involve:

1. Develop and design thermomechanical experiments, prototypes, and proof-of-concept models to test hypotheses.
2. Identify engineering challenges and work on solving complex technical problems.
3. Gather and analyze data from experiments and simulations.
4. Create prototypes of new products or systems
5. Maintain accurate and detailed records of research activities, methodologies, and results.
6. Collaborate with other engineers, scientists, and researchers to achieve project goals.
7. Assist in equipment purchase, commissioning, and ownership.

(Interested applicants should send their curriculum vitae via email to [email protected]).

Qualifications

• A master’s or higher degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• At least 2 years’ relevant work experience, and good knowledge, skills and expertise in relevant field.
• Candidate with experience in microelectronic research, characterisation, metrology and electrical testing, and strong in data analysis will have an advantage.
• Knowledge of thermal and thermomechanical modelling and analysis.
• 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

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics and machine learning techniques to analyse various types of clinical data such as large-scale electronic health records, biosignal data, and/or medical images.
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor or master’s degree in computing / biostatistics / epidemiology / engineering with good mathematical knowledge and some research experience in machine learning and statistics.
• Good programming skills in R or Python.
• Having interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• Strong team player skills and the ability to work harmoniously with 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 Global Asia Institute at the National University of Singapore invites applications for a postdoctoral research fellow position. The Institute is seeking scholars with strong skills in applied empirical methods and econometrics, with research interests in behavioral economics and/or health economics. Candidates should have an outstanding record in accredited PhD program in economics or related fields.

The Institute is well supported by a team of research assistants. Successful candidates will collaborate with a team of passionate researchers to work on projects which have immediate policy and commercial implications.

There will be no teaching obligation for the first contract. Salaries are globally competitive and commensurate with the candidate's qualifications, track record, potential, and experience. Shortlisted candidates will be notified of an online interview

Qualifications

An outstanding record in accredited PhD program in economics or related fields

The School of Civil and Environmental Engineering (CEE) invites applications for the position of Research Associate.

Key Responsibilities:

• The RA will work on a project to conduct the research on the production of self-healing cement additive and its applications.

• The RA should have previous experience in chemical synthesis and analysis, concrete sample preparation, mechanical testing and microstructural characterization (XRD, TGA, FTIR and SEM-EDX).

• Additional experience in rheology and 3D concrete printing would be preferable, but not required.

Job Requirements:

• Master / PhD in Engineering, Material Science or Chemistry

• Strong academic standing with several publications in reputable journals

• Good English speaking and writing skills

• Strong references from previous supervisors

We regret that only shortlisted applicants 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.

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 participate to the development and design of a quantum processor using neutral atoms array. In particular, participate to the design of the vacuum system, characterisation of the laser system, implementation of the optical systems, and interfacing of the experimental setup.

Job Requirements

• A Bachelor degree in Physics;
• A successful experience in atomic physics or related fields

Lee Kong Chian School of Medicine invites applications for:

Research Fellow at Assistant Professor Franklin Zhong's lab.

Lee Kong Chian School of Medicine (LKCMedicine) established in September 2010 is a partnership between Imperial College London and Nanyang Technological University (NTU), Singapore. Consistently rated amongst the world's best universities, Imperial College London is a science-based institution with a reputation for excellence in teaching and research while NTU is the only Singapore university listed in the Top 10 of the Times Higher’s 200 Under 50 Rankings and is ranked the world’s No. 1 young university by QS in the last three consecutive years.

LKCMedicine operates from two campuses – Yunnan Campus at Nanyang Technological University and Novena Campus, which is located in the precinct of the future HealthCity. At LKCMedicine, we recognize that synergies is the key to maximize research output and we seek to promote synergies between researchers in LKCMedicine itself and local and/or overseas researchers.  We strongly believe that building synergies and robust collaborations will be the key to maximizing research output in today’s competitive environment.

Asst Prof Franklin Zhong’s research group at LKC School of Medicine is looking for a postdoctoral fellow to join ongoing research on human innate immunity. We are particularly interested in PhD scientist which strong background in molecular biology and animal disease modeling.

Key Responsibilities:

• Perform molecular biology experiments to identify novel immune effectors

• Models human diseases using engineered mouse models

• Data analysis

• Publications

Requirements:

• PhD in Biological Sciences

• Strong background in molecular biology, including mammalian cell culture, cloning and CRISPR/Cas9 genome editing

• Experience with animal work is preferred

Lee Kong Chian School of Medicine invites applications for:

Research Assistant in Assistant Professor Franklin Zhong's lab

Lee Kong Chian School of Medicine (LKCMedicine) established in September 2010 is a partnership between Imperial College London and Nanyang Technological University (NTU), Singapore. Consistently rated amongst the world's best universities, Imperial College London is a science-based institution with a reputation for excellence in teaching and research while NTU is the only Singapore university listed in the Top 10 of the Times Higher’s 200 Under 50 Rankings and is ranked the world’s No. 1 young university by QS in the last three consecutive years.

LKCMedicine operates from two campuses – Yunnan Campus at Nanyang Technological University and Novena Campus, which is located in the precinct of the future HealthCity. At LKCMedicine, we recognize that synergies is the key to maximize research output and we seek to promote synergies between researchers in LKCMedicine itself and local and/or overseas researchers.  We strongly believe that building synergies and robust collaborations will be the key to maximizing research output in today’s competitive environment.

Franklin Zhong’s research group at LKC School of Medicine is looking for a postdoctoral fellow to join ongoing research on human innate immunity. We are particularly interested in PhD scientist which strong background in molecular biology and animal disease modeling.

Key Responsibilities:

• Conduct and assist in molecular biology experiments to identify novel immune effectors

• Conduct and assist in basic animal husbandry and related experiments on engineered mouse models

• Perform data analysis and assistant in publications

• Organize lab operations including procurement

Requirement:

• Bachelor’s in Biological Sciences

• Lab experience (>3 months) with molecular biology

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 Professor Barbaros Ozeyilmaz on energy storage and conversion under a project on Towards Commercializing Monolithic Graphene Nanofoam Supercapacitors for Space Applications: Hybrid Power Applications and Ta Capacitor Replacement.

The main responsibilities of the position include:

• Building upon our ground breaking work in 2D amorphous carbon (Synthesis and properties of free-standing monolayer amorphous carbon (MAC), Nature 577, 199 (2020)), we embark on a bold exploration into the uncharted territory of precisely engineered 3D version of MAC structures. This novel technology, a testament to our team's innovative spirit, holds immense promise for revolutionizing materials science and unlocking a plethora of real-world applications.

• The successful candidates will be conducting their high impact research in -

1. Nanoscale engineering of 3D graphene foam and its supercapacitor application under extreme working conditions which battery cannot cover. New applications in extreme environments such as short run memory and pressure gauges in downhole environment, implantable medical devices, cold temperature aerospace applications and IoT devices etc.

This project is in collaboration with National institute and industries (e.g. ST Engineering and DSO, etc).

2. Hybrid nano-composite 3D foam synthesis for high Energy Battery.

• New battery development with high energy and power densities for automotive, satellite, train & microgrid applications. Targeting new energy conversion/storage application.

Qualifications/Requirements/Other Info

• Qualifications / Discipline: Candidates must hold an internationally-recognized PhD degree (or equivalent) preferably in electrochemistry, material science, Nanoscience, or equivalent. The candidate should have a proven track record of excellence in experimental research.

• Skills: Candidates with experience in energy storage applications (supercapacitors/batteries), characterization and material synthesis are highly encouraged to apply.

• Experience:

>2 years as research fellow level, plus

>3 years research experience Energy storage projects

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on leveraging functional genomics approaches to understand the molecular mechanisms of complex diseases.

The main responsibilities of the position include:
- High-throughput CRISPR/Cas9 screening.
- Bulk and single-cell RNA-seq analysis.
- ATACseq data analysis and TF motif identification.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: PhD degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

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 bioinformatician/molecular microbiologist is sought to join a team working on metagenome-resolved biogeography and functional ecology of photosynthetic microbial communities under extreme environmental stress.

The main responsibilities of the position include:
1. Analysis of metagenomic sequence data with various packages using the R statistical environment.
2. General molecular microbiology laboratory work including DNA/RNA extraction, library preparation, and sequence analysis.

The position is available for an initial period of 21 months, with renewal subject to performance and funding availability.

Qualifications

• Qualifications / Discipline:
BSc (hons) required, and preferably a MSc

• Skills:
Competence in using R software for bioinformatic analysis of metagenomes is essential, e.g. MEGAN6. Some laboratory experience in molecular microbiology is also preferred but not essential.

• Experience:
At least one year of experience using computational bioinformatic tools in a research environment is required.

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 A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

We are recruiting a highly motivated research fellow with a strong background in neuroscience or artificial intelligence. Our current study focuses on understanding the function and organisation of cortical circuits in the mammalian brain underlying neural intelligence. We integrate various cutting-edge technologies, including a 2-photon random access mesoscope to record >10,000 neurons, electrophysiology, optogenetics and virus-mediated circuit mapping to investigate the link between neural circuits and behaviour. We are especially interested in applying concepts from AI research to neuroscience. The successful candidate will have unique expertise in cutting-edge optical technologies using awake behaving mice and learning opportunities in AI.

Key Responsibilities

• Mouse behaviour and neural recording experiments
• Histology
• Surgery
• Data analysis

Requirements & Competencies:

• PhD in science

• Programming skills

• Animal handling (mouse).

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on performing snRNA-seq experiment and leveraging functional genomics approaches to understand the molecular mechanisms of type 2 diabetes.

The main responsibilities of the position include:
- Nuclei isolation of adipose tissue.
- Basic snRNA analysis of output data.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: Bachelor or Master degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

• Skills: Cell/molecular experiment, transcriptomics, genomics, mouse work.

• Experience: Cell/molecular experiment, transcriptomics, genomics, mouse work.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

This role is funded by a Pharma Innovation Programme Singapore (PIPS) research grant. The primary responsibility of the role is to deliver a novel software solution, which supposedly will run on discrete-event simulation (DES) and deep reinforcement learning (DRL) optimization algorithms, to help pharmaceutical companies enhance the agility of their multi-product manufacturing process in an uncertain environment. To this end, by working closely with subject matter experts from the PIPS member companies (i.e., GSK, MSD, Pfizer, and Syngenta), you will:

• design and execute survey / interviews with subject matter experts to understand the agreed aspects of agility and use them as the basis for this project
• develop the DES model libraries on the AnyLogic platform to simulate different kinds of activities involved in the full pharmaceutical supply chain
• develop the DES plant model optimizer using explainable DRL algorithms with user-defined objective functions
• demonstrate the utility against company-supported use cases
• prepare a user manual to help the companies quickly grasp the knowledge to use or modify the novel utility

Key Responsibilities:

1. Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
2. Undertake these responsibilities in the project:visit PIPS member companies’ production sites in Singapore for data collection and model building
   train and validate the DES models using historical plant data or synthetic data
   develop the DES model optimizer by implementing appropriate DRL algorithms and user-defined objective functions (e.g., CAPEX/OPEX, sustainability metrics, etc.), with explainability on the suggested decisions from the algorithms
   present research findings in meetings with PIPS member companies; prepare peer-reviewed publications on the findings
   guide junior researchers and undergraduate students on their research activities
   engage and communicate with vendors/suppliers for purchasing software, and visit vendors’ facilities for both software evaluation and training purpose.
   
3. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

Job Requirements:

1. PhD in Chemical Engineering, Computer Science / Engineering or related fields. Master’s degree candidates with significant computational research experience may also be considered.
2. Previous experience with DES / Deep learning using neural networks / DRL / Explainable machine learning / AnyLogicâ would be advantageous.
3. Interest and enthusiasm for academic research to be applied in the pharmaceutical industry.
4. Good interpersonal, communication and technical writing skills. Good problem-solving skills.