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

• Assistance to the coordination of the research activities in the Robots for Humans thrust.

• Assistance to the collaboration with external partners (CHART) and the interactions with users

• Assistance to the management of the workplan, deadlines, reporting, meeting organization.

Qualifications

• Degree in Engineering
• Expertise in project management

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.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to design and develop a hybrid cloud and edge-based energy management (HCEEM) framework that enables virtual energy trading among distributed energy resources (DERs) and existing utilities, fostering a sustainable and efficient energy ecosystem.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PIs, collaborators, and the research team members to conduct research on DERs and energy management techniques, focusing on the design and development of the HCEEM framework.
• Lead the development of algorithms, models, and methodologies for virtual energy trading among DERs and existing utilities.
• Collaborate with a multidisciplinary team of researchers and engineers to implement and test the HCEEM framework.
• Collect and analyze data from DERs, utilities, and energy markets to evaluate the performance and effectiveness of the framework.
• Publish research findings in reputable journals and present at conferences and workshops.
• Mentor and collaborate with graduate students and junior researchers, providing guidance and support in their research activities.
• Assist in writing grant proposals and securing funding for future research projects.
• Collaborate with industry partners and stakeholders to ensure the practical applicability and relevance of the research outcomes.
• Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Ph.D. in Electrical Power Engineering, Energy Management, or a related field, with a strong research focus on energy management and distributed energy resources. Candidates who have submitted their thesis can apply too.
• Extensive knowledge of energy management techniques, Smart Grid concepts, and virtual energy trading.
• Experience in algorithm development, optimization, and data analysis in the context of energy systems.
• Proficiency in programming languages (e.g., Python, MATLAB) and simulation tools commonly used in energy research.
• Strong analytical and problem-solving skills, with the ability to critically evaluate and interpret research data.
• Excellent written and verbal communication skills, with the ability to publish research findings and present at conferences.
• Proven track record of research publications in reputable journals and conferences.
• Ability to work both independently and collaboratively in a research team environment.
• Prior experience with cloud computing, edge computing, or energy market modeling is advantageous.
• Knowledge of regulatory frameworks and policies related to energy management and DER integration is a plus.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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.

The research staff conducts research in the areas of video analytics for remote pilotage, video compression, advanced sensing techniques, sensor and operation data fusion, data analytics and machine learning algorithms. The primary responsibility of this role is to deliver the program objectives for remote pilotage.

Key Responsibilities:

• 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.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Any other duties as assigned

Job Requirements:

• Have relevant competence in the areas of sensing or data analytics or sensor fusion
• Have a degree in electrical, or computer engineering or equivalent.
• Knowledge of programming, video analytics and compression will be advantageous.

Key Competencies:

• Good knowledge in sensing, programming, data analytics.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

The NUS High School is a specialized school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science.

We are inviting suitable applicants for the following position:

EXECUTIVE, HR (CONTRACT)

Employment Term:

June 2024 – February 2025

We are looking for candidates to provide support to the Human Resource Department in areas such as recruitment, onboarding & offboarding.

Key responsibilities:

· Manage activities in relation to recruitment, onboarding and offboarding for employees, new-hire orientations and data entry in human resources information systems (HRIS)

· Maintain employee files and records in electronic and paper form

· Generate official internal documents such as confirmation letters, employment letters and resignation acceptance letters

· Provide advice to employees in various HR-related topics such as leaves and compensation and resolve any issues that may arise

· Track government-paid Leave (Paternity/Maternity/Childcare) for timely submission

· Ensure compliance with local employment legislations and update policies and procedures when necessary

· Other ad hoc HR functions as and when required

Requirements:

· Possess at least Diploma in Human Resource Management or equivalent qualification in relevant discipline with 3 years or more relevant working experience

· Excellent interpersonal and communication skills, both written and oral

· High IT literacy and strong numerical and analytical skills.

· Proficient in MS Office applications including MS Excel.

· Resourceful and self-driven with high degree of professional integrity.

· Positive work attitude and has initiative

· Meticulous and a good team player

· Experience in SuccessFactors is an advantage

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected] by 4 May 2024.

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 a Research Fellow position for the design and execution of intervention trials, in the Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, with an affiliation with the National University Health System (NUHS) Centre for Healthy Longevity. The successful candidate will be responsible for overseeing the planning, execution, and monitoring of intervention trials, with a focus on ensuring compliance with study protocols and regulatory requirements.

The Centre for Healthy Longevity (CHL), one of 6 Centres of Excellence of the National University Health System (NUHS), aims to be a leading institute for geroscience research and translation globally, to be renowned for translating research into practice to improve healthspan.

The Healthy Longevity translational research program in the group of prof Andrea Maier is seeking a full-time research fellow to conduct and monitor geroprotective intervention trials with nutritional supplements in middle aged healthy populations. Experience in human clinical research is required.

Duties and Responsibilities

1. Perform literature reviews on micronutrient levels in middle-aged populations to define the optimal level of micronutrients.
2. Design and develop the protocol for a clinical trial with nutritional supplements in collaboration with principal investigators, data scientists, and other stakeholders.
3. Manage the operational aspects of clinical trials, including participant recruitment, enrollment, monitoring, and data collection.
4. Monitor trial progress, ensuring compliance with Good Clinical Practice (GCP) guidelines and study protocols.
5. Develop and implement strategies to maximize participant engagement, retention, and adherence to study protocols in a decentralized setting.
6. Lead the preparation of regulatory submissions, trial reports, and scientific publications.
7. Development and delivery of training materials for site staff and study team members.
8. Identify new research opportunities and grant applications.

Qualifications

1. A PhD or equivalent advanced degree in a relevant field (e.g., nutrition, public health, epidemiology, clinical research).
2. Experience in clinical trials, experience on decentralized trials is preferred but not essential.
3. Strong understanding of GCP guidelines and other relevant regulatory requirements related to clinical trials.
4. Able to work independently, but also enjoying the work with the team members.
5. Strong attention to detail and ability to manage multiple projects simultaneously.
6. Good interpersonal skills with strong leadership attributes.
7. Good understanding of population nutrition especially micronutrient needs is preferred.
8. Desire to move the Geroscience and Healthy Longevity Medicine field forward and contributing to evidence based interventions.

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 3 referees).

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, as Singapore’s national platform for drug discovery and development. We are committed to discover and develop novel therapeutics by working collaboratively with both public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This includes tackling complex and unmet medical challenges in disease areas such as oncology, fibrosis, infectious and autoimmune diseases. EDDC is now seeking under the IFP programme a highly skilled and motivated Bioinformatics Scientist/Engineer to join the Computational Biology group to drive data-driven discovery of therapeutic targets and clinically relevant biomarkers, achieving wholistic understanding of human disease biology and pathology.

This is an eighteen months on-the-job training programme that requires participation in and supporting cross-functional and collaborative drug discovery projects. By joining EDDC, the IFP candidate will be part of a dynamic, interdisciplinary team geared to enhance and facilitate the drug discovery journey through data harmonization and deconvolution, multimodal data analytics, and advanced machine learning. The role will also leverage strategic partnerships both locally and globally, to adopt a flexible approach in refining and advancing EDDC’s solutions.

Responsibilities:

1. Multimodal data analytics for target, biomarker discovery and MoA elucidation

o Develop and implement computational strategies for integrated analysis across diverse biological datasets, including but not limited to genetics/genomics, transcriptomics (bulk- and single-cell RNAseq) and proteomics data.o Employ state-of-the-art machine learning and AI techniques to uncover patterns in extensive biological datasets, developing predictive models that inform therapeutic strategies.o Collaborate with cross-functional colleagues to drive the data-driven discovery and prioritization of novel therapeutic targets and clinically relevant biomarkers, integrating advanced analytics to elucidate the molecular mechanisms of action.

2. Data Integration and automation

o Evaluate and harmonize multi-dimensional data to ensure data quality and consistency.

o Architect and manage databases for cross-functional biological data from public and proprietary sources.

o Optimise and automate workflows when applicable, streamline data access for researchers to facilitate high-throughput analysis and collaborative research efforts.

3. Collaborative Research and strategic partnerships

o Work closely with experimental biologists, chemists, and other computational biologists to design experiments, analyse results, and communicate findings in scientific reports and presentations.

o Establish and maintain partnerships with leading computational biology, data science, and AI entities both locally and globally, serving as the computational biology liaison to ensure effective communication and alignment of objectives between external partners and EDDC’s internal project teams.

4. Innovation and Continuous Learning

o Stay abreast of the latest developments in bioinformatics, data science, machine learning, and AI as they pertain to drug discovery and development.

o Implement new technologies and methodologies to refine in-house workflows and enhance EDDC’s computational platforms.

Requirements:

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 2 years of postdoc experience or equivalent in industry settings.
• Applicants with suitable aptitude, potential and interest in harnessing big-data and advanced analytics for enhancing and accelerating drug discovery.
• Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk and single-cell transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
• Proficiency in software engineering and programming languages such as Python and R, and familiarity with data engineering techniques including cloud-based and on-premises database services, database management systems, APIs and workflow development frameworks.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
• Keen to learn new techniques and adaptable to changing priorities.
• Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
• Industry experience in pharmaceutical or biotech companies is an advantage.

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 with Dr Subhroshekhar Ghosh on mathematics of data under a project on Complex structures in Statistical Physics and the Math of Data and Stochastic models with latent symmetries.

The main responsibilities of the position include conducting research.

Qualifications

Qualifications / Discipline: Master’s degree in Mathematics with an emphasis on probability, combinatorics, statistics and machine learning

Skills: Coding skills in R, Strong theoretical and theorem proving abilities and should be familiar with ideas and techniques for mathematical modelling of real world phenomena

Experience: Prior experience with research, including demonstrable completed research 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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of quantitative analysis. The responsibilities of the role will include designing and developing smart databases of various unstructured and non-traditional information related to corporate environmental and social impacts.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data collection and storage framework
• Plan and perform the collection of information from various alternative, non-traditional data sources, along with commercial databases
• Plan and perform quantitative analyses of various corporate disclosure reports and regulatory frameworks, including textual and graphical analysis.
• Plan and perform the development of databases that can be used by researchers throughout the Institute, with accessible interface for external users
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• For Research Fellow position: guide, mentor, and supervise research analysts and associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor's degree is required, a master's degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of quantitative analysis is highly preferred.
• Quantitative and programming skills, including knowledge of textual and graphical analyses, are highly desired.
• Database design and management experience is highly desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

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 investigate, through modeling and measurement, the impact of ionospheric effects on Synthetic Aperture Radar (SAR) satellite images.

Scope of work.

• Sourcing and installation of equipment to measure ionospheric effects.
• Working with SAR image providers on the tasking of SAR satellites and procurement of SAR images.
• Preparing for field trials, including the design and installation of dedicated scatterers, such as corner reflectors.
• Recording and processing of measured data.
• Collaborate with researchers from SONDRA (CentraleSupelec ONERA NUS DSO Research Alliance), which may include research stints at SONDRA in France
• Present the results at international conferences.

Qualifications

• Possess at least a PhD degree in Electrical Engineering.
• Has Hands-on experience with equipment, preferably with radio equipment, GNSS receivers, and software defined radio (SDR).
• Experience with software tools such as MATLAB.
• Positive attitude – Able to work independently and in a team.
• Meticulous, able to work well with other researchers, and commitment to meeting deadlines
• Open to fixed-term contract

We are looking for an experienced Food Science and Innovation Director with passion for food, people and innovation, who can generate and manage major innovation projects.

This critical role oversees the development of innovative products from conceptualization to commercial launch. They oversee all aspects of the NPD process including identifying market trends and opportunities, managing projects and teams, developing intellectual property, bringing new products and services to market, and evaluating opportunities for licensing or acquisition.

Accountabilities:

• Managing the end-to-end NPD process including prototyping, sensory testing, and process scaling
• Partnering with leading global food companies on co development of innovating new products that unlock consumer demand
• Driving cross-functional NPD projects in partnership with representatives from marketing, manufacturing, quality assurance, procurement, and finance
• Monitoring food science and nutrition trends, ingredients innovations, and emerging technologies for product development opportunities
• Ensuring NPD portfolio delivers on revenue growth, margin, and launch timing goals.
• Protecting intellectual property related to proprietary ingredients, product formulations, and process technologies.
• Building partnerships with universities, research institutes, and other companies

Minimum Skills Required:

• 10+ years of management experience directing food product development projects that have successfully launched into retail or foodservice markets.
• Advanced degree in food science or technology
• Supervisory/managerial experience required.
• Familiarity with food science equipment required.
• Project Management experience required.
• Experience with consumer insights, culinary innovation, and nutrition.
• Successful track record developing and implementing category growth strategies
• Strong leadership, communication, presentation, and interpersonal skills
• Ability to simplify complex ideas and present strategic recommendations.
• Knowledge of alternative protein industry including supply chain and pricing dynamics
• Required To Travel: up to 25% of time

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the NUS Centre for Trusted Internet and Community. ‎NUS-CTIC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work closely with the Principal Investigator, Professor Mohan Kankanhalli, to conduct research in Detection and Synthesis of Deepfake Audio and Video. Research output is expected to be high, suitable for publication at top conferences and journals. The Research Fellow is also expected to mentor and guide junior researchers in the team.

Qualifications

• A PhD degree in Computer Science or related field.
• Evidence of good research in computer vision and deep learning.
• A good publication record.
• Mentoring experience.
• Excellent written and verbal communication skills.

Job Description

• Conduct in-depth research on various topics, including cultural, historical, and social aspects, as well as professional jobs, and thematic elements relevant to the drama’s setting and themes.
• Collaborate with the writing team to provide accurate and compelling information that enhances the authenticity and richness of the storyline.
• Stay updated on industry trends, audience preferences, and competitor strategies to contribute valuable insights to the production process.
• Assist in script development by providing detailed background information, references, and supporting materials.
• Establish collaborations with external experts, consultants, and historians to ensure accuracy and authenticity in the portrayal of specific topics.

Qualifications

• Diploma / Degree with 3-4 years of working experiences.
• Passion for the media industry.
• Strong communicator with a flair for Chinese drama writing
• Excellent research skills
• Effectively bilingual in English and Chinese, with a strong command of Chinese (written and spoken) for business purpose in Chinese Drama Productions Team.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for one Research Assistant position in the Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine. Appointments will be on a 1-year contract in the first instance, with the possibility of extension. Fresh graduates are encouraged to apply.

Purpose of the post

The Research Assistant/Associate (RA) will be responsible to Dr Shi Jiahai and work with a team of researchers. The research project revolves around applied synthetic biology and focuses on red blood cell biology.

Main Duties and Responsibilities

The RA is expected to:

1. Take part in one or more research projects, execute genomic analysis, bioinformatic analysis, and particularly the development of DNA/RNA analysis using deep learning models.
2. Solve scientific problems, think independently, and suggest creative solutions.
3. Assist in any other duties that are delegated by the Principal Investigator.

Qualifications

The applicant should:

1. Hold a Bachelor’s or Master’s degree in mathematics or biotechnology;
2. Have knowledge and hands-on experience in molecular biology, biotechnology, or biological science;
3. Be able to work independently and in a team, have an investigative nature, and be attentive to details;
4. Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising obstacles.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Binte Sulaiman, at [email protected].

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

We are looking for a capable and motivated Research Fellow to join our research on integrated quantum and nonlinear photonics. The project aims to develop an integrated quantum photonic platform based on thin-film lithium niobate. Main device components to be developed include on-chip photon-pair and squeezed-light sources, electro-optic modulators, frequency combs, and integrated single-photon detectors. The candidate will also have the freedom to explore other topics such as piezo-optomechanics and microwave-optical transduction.

This position will be hosted by Assistant Professor Di ZHU’s group in the Department of Materials Science and Engineering at the National University of Singapore (NUS). Successful candidates will be involved in, but not limited to, the following activities:
• Design and fabricate integrated photonic devices
• Perform optical and electrical characterization of integrated photonic devices
• Assist in mentoring graduate students
• Regularly disseminate research results through reports, presentations, and manuscripts

Qualifications

• Ph.D. degree (completed or soon to be completed) in Physics, Applied Physics, Material Science and Engineering, Electrical Engineering, or other relevant areas
• Knowledge in nonlinear and/or quantum photonics
• Experience in nano/micro-fabrication is highly desired
• Programming skills (e.g., Python, Matlab)
• Ability to work as a team and communicate effectively

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 Physiology, Yong Loo Lin School of Medicine. The lab aims to identify the cell-intrinsic mechanism and extracellular factors that hasten muscle function and mass during aging. We utilize genetically modified mouse models and to pinpoint the crucial effectors of muscle growth signaling pathways that could potentially be targeted for therapeutic intervention in elderly suffers from sarcopenia.

Appointments will be made on a 1 year contract basis, with the possibility of extension.

Purpose of the post

We seek a detail-orientated and self-motivated research fellow to join our team.

Main duties and responsibilities

The research fellow will be expected to lead the design and implementation of studies aimed at understanding the roles of novel regulators of sarcopenia development and frailty.

Qualifications

The applicant should have a PhD or equivalent degree in medicine, molecular biology or related fields at the time of employment.

Other requirements:

• At least one first authorship publication in peer-reviewed journals for further consideration.
• At least four years of work experience on rodent models of exercise, muscle regeneration, behaviour study, flow cytometry, and electronic microscopy imaging.
• Experience with cell culture, preferably with primary satellite cells / myoblasts would be an advantage.
• Excellent communication, writing and presentation skills in English would be a plus.

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 3 referees.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We have openings for talented scientists who are ready to take up a leadership role in our group and to spearhead new initiatives and provide guidance to less experienced members. You will be part of a well-funded initiative to create hybrid systems with superconducting circuits and rare-earth ions for quantum information processing. If your profile includes an inclination for nano-fabrication, you may be working on the following:

• Leading the measurement of superconducting circuits in state-of-the-art systems;
• Operating dilution refrigerators (Bluefors LD400); and large superconducting electro-magnets (up to 1 Tesla);
• Mentoring graduate students;
• Spearheading the development and fabrication of chips that combine superconducting circuits and rare-earth ions (including on-site lithography and metal deposition);
• Exploring novel fabrication methods to couple rare-earth ions in solid-state with integrated optics and superconducting circuits;

Qualifications

You will work closely with the PI to develop future experimental goals and shape the general research direction of the group. We aim to provide a challenging and supportive environment to perfect your research leadership skills and get ready for your next career step. You will be evolving in Singapore's highly fruitful Quantum Ecosystem that provides ample opportunities for funding and career prospects. Postdoc applicants should have proven research experience and have a strong interest in quantum technologies as well as:

• PhD in Experimental Physics or Engineering;
• PhD working on superconducting circuits, spin defects in solid-state, integrated optics or quantum optics experiments;
• A good knowledge of quantum mechanics / quantum optics 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 candidate is expected to combine simulations and experiments. More specifically: Particle-in-Cell simulations of plasmon dynamics will be performed. Furthermore, experimental monochromated Electron Energy-Loss Spectroscopy (EELS) will be performed on ultrathin metallic films, including momentum-dispersed EELS. Advanced STEM and EELS data processing will be performed, as well as the drafting of scientific manuscripts.

Qualifications

The candidate is expected to hold a PhD degree, or is awaiting the outcome of the PhD thesis submission. The candidate will have 3-4 years of experience with particle-in-cell plasmon simulations. Hands-on experience with monochromated STEM-based electron energy-loss spectroscopy is required as well. The candidate is expected to work efficiently and supportively with students, research fellows, and collaborators.

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

The National University of Singapore invites applications for a Research Fellow in the Sleep and Health Laboratory, Centre for Sleep and Cognition, Yong Loo Lin School of Medicine (https://sites.google.com/site/sleepandhealthlab/home). Research at the Sleep and Health Laboratory focuses on the importance of sleep in cognitive, mental, and physical health. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the various studies on time. The Research Fellow’s principal role will be to work in study management, data collection and analyses, as well as manuscript and report writing.

Main Duties and Responsibilities

The Research Fellow will need to:

1. oversee the general management of studies;
2. undertake the day to day running of the various studies, e.g. data collection in the laboratory and the field;
3. process and analyse data;
4. prepare articles for publication in academic journals;
5. assist in preparing funding proposals, as well as both progress and final reports of the studies;
6. coordinate research across research groups both within and beyond Singapore;
7. maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
8. assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. have a PhD in Psychology, Behavioural Science, or a related discipline;
2. a demonstrated interest and good background in conducting human subjects research, including a track record of publication;
3. be able to work independently and supervise a team of research assistants;
4. have a good written and oral command of English (preferably Chinese as well - as you may be required to converse with participants who only speak their mother tongue); and
5. be able to use SPSS / SAS / R / Matlab; good command of E-prime and Python would be an advantage.

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

Only shortlisted candidates will be notified. Successful candidates are expected to start no later than the first quarter of 2024.

To apply, please submit your cover letter (1-page), CV, and research statement.

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 position of Research Assistant in the Ion Channel and Transporter Lab, Department of Physiology, Yong Loo Lin School of Medicine. The candidate will be involved in the investigation of calcium channel alternative splicing and RNA editing using transgenic mouse model and patch-clamp electrophysiological methods for brain slice recordings. Appointments will be made on a one-year contract basis in the first instance, with the possibility of extension for a second year.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator, the Director of the NUS Electrophysiology Core, and study team members to ensure the successful completion of work assigned. The RA’s principal role will be to work in patch-clamp electrophysiology (training will be provided), molecular and cell biology and working with rodents as models of health and disease.

Main Duties and Responsibilities

The Research Assistant will work closely with the PI or the Director of the NUS Electrophysiology Core. The duties include, but are not exclusive to the following:

1. Perform patch-clamp electrophysiological recordings on excitable cells such as neurons and muscle cells or on brain slices;
2. Conduct experiments employing molecular and cell biological and biochemical methods;
3. Conduct imaging studies;
4. Contribute to lab duties and other work-related activities;
5. Keep records and work done and to present for discussions;
6. Assist with any other duties of a similar nature that are delegated by the PI or Director of NUS Electrophysiology Core.

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Bachelor’s degree in Biomedical Science or related disciplines;
2. Be able to work independently and in a team;
3. Have knowledge or skills in basic animal handling or behavioural studies;
4. Have experiences in Molecular and Cell Biology and Biochemistry;
5. Have experience or willingness to be trained in patch-clamp electrophysiological techniques and brain slice recordings.

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 Summary

The Research Assistant will be responsible for designing and implementing efficient and robust systems, and applications for algorithms and methodologies based on state-of-the-art research in machine learning and big data for collaborative machine learning.

Responsibilities:

• Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in machine learning, artificial intelligence, and big data;
• Perform data cleansing and processing for analysis of real-world datasets;
• Assists with the editing and preparation of manuscripts, reports and presentations.;
• Participate in presentations and demos for exhibiting work at appropriate events;

Requirements

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning/Big Data;
• Solid programming and application development skills with experience in Python/Perl/R. Mastery of programming languages such as C/C++/Java, and experience with Tensorflow would be a plus;
• Ability to read and understand methodologies in research papers;
• Fluent in English and good team-player

Job Description

The National University of Singapore invites applications for the position of Visiting Professor 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 Visiting Professor will be responsible for teaching and research in some of these areas: programming languages, formal methods, software verification, program synthesis, automated reasoning about parallel and distributed code, etc.

Only shortlisted candidates will be notified.

Qualifications

A PhD degree in computer science or related areas.

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 seeking a full-time Research Assistant for ongoing projects in population aging, elderly health, and retirement finance at the LKY School of Public Policy, National University of Singapore. The appointment is tenable for a period of 1 year, with the possibility of renewal.

The Research Assistant is expected to provide research support to Asst Professor Joelle Fong (https://lkyspp.nus.edu.sg/our-people/faculty/joelle-fong) who is the Principle Investigator for the 5-year research programme covering 2023-2027. The successful candidate should have a background in statistics and quantitative methods, be proficient in R and STATA, and have a strong willingness to learn about new topics and tools. Good written and spoken English is required.

Terms and conditions:

The appointment will be tenable for a period of one year with a possibility for extension. Review of applications will start till the position is filled.

Job Responsibilities

Responsibilities of the full-time RA include:

• Assist with data analysis in R and STATA (and data collection/ cleaning);
• Assist with literature review and questionnaire design;
• Administrative support for research projects in the 5-year research programme;
• Other ad-hoc duties as assigned.

Job Requirements

Job Requirements:

• Bachelor’s degree or equivalent in Statistics, or Data science/analytics, or
• Quantitative economics/finance;
• Candidates with a Master’s degree are encouraged to apply;
• Previous experience in aging-related projects is preferred;
• Previous RA working experience in academic research is preferred;
• Self-motivated and have attention to detail;
• Able to commit to at least 1 year of service.

Job Application

Invitation to apply:

Interested applicants are invited to send the following list of documents:

1. Cover letter (stating interest, qualifications, relevant research experience, and expected salary) Please also state when you can begin work, if you are selected for the role.
2. Curriculum vitae (four-page max)
3. Two writing samples (e.g. essays, written reports, short articles)

(We thank all applicants for their interest; however, only shortlisted candidates will be contacted for an interview.)

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.

The successful candidate will join Dr Alan Hsu's research group in EID at Duke-NUS Medical School and will contribute to ground-breaking research focused on understanding the molecular mechanisms of severe disease pathogenesis caused by influenza viruses and SARS-CoV-2 through innovative experimental models, next-gen technologies, novel therapeutic development, and complementary suite of clinical samples and in vivo models. The successful candidate will also drive the proposed research independently and conduct high level molecular and immunology projects, collaborate with experts in the field, and build a strong track record in the field.

In addition, the role will include performing a variety of research activities such as planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Perform independent research projects and develop connections with local and international researchers for collaboration work.
• Write and review 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.
• Perform research with advanced virus, molecular and immunology approaches and critical data analyses.
• Participate actively in the communication and dissemination of research.
• Provide support to the team or research projects.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Microbiology, Immunology, or other related disciplines.
• Possess an extensive working experience with human primary epithelial cells and cell differentiation, virus handling and infection, innate immune assays at viral, cellular and molecular levels.
• Have experience in flow cytometry.
• Prior experience in animal models is preferred but not necessary.
• Possess knowledge of immunology and virology, as well as data analysis.
• Have a strong sense of teamwork and collaboration, recognise the value of diverse perspectives, ongoing learning and able to adapt to new challenges.
• Equipped with excellent communication and interpersonal skills, including interdisciplinary ways of working and engagement with colleagues and collaborators.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly skilled and motivated Research Fellow to join our team focused on experimental measurements of ammonia flame characteristics in gas turbine environments. The successful candidate will lead experimental efforts to investigate the combustion behavior, emissions, and performance of ammonia-based fuels in gas turbine combustion systems. This position offers an exciting opportunity to contribute to cutting-edge research in sustainable energy technologies and advance our understanding of ammonia combustion for gas turbine applications. The contract will be one-year and can be renewable.

The responsibility include:

1. Design, set up, and conduct experimental tests to characterize ammonia flame properties in gas turbine combustion environments, including flame stability, ignition, flame structure, and pollutant emissions.

2. Develop and implement innovative measurement techniques and instrumentation to capture detailed information of ammonia flames, such as laser-based diagnostics, spectroscopic analysis, and gas sampling techniques.

3. Operate and maintain experimental facilities, including gas turbine test rigs.

4. Collaborate with research team members and external partners to plan and execute experimental campaigns, coordinate testing schedules, and analyze experimental data.

5. Perform data analysis and interpretation to extract meaningful insights into ammonia flame behavior, combustion kinetics, pollutant formation mechanisms, and combustion performance.

6. Validate experimental results through comparison with numerical simulations and theoretical models, contributing to the development and validation of predictive combustion models for ammonia-based fuels.

7. Document experimental procedures, results, and findings in technical reports, conference presentations, and peer-reviewed journal publications.

8. Contribute to the development of research proposals for ongoing and future research projects.

9. Mentor and supervise graduate students and research assistants involved in experimental testing and data analysis activities.

Qualifications

1. Ph.D. in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, or a related field.

2. Strong background in experimental combustion research, including experience with experimental design, instrumentation, data acquisition, and data analysis techniques.

3. Expertise in combustion diagnostics and measurement techniques, such as laser-induced fluorescence (LIF), planar laser-induced fluorescence (PLIF), laser absorption spectroscopy, and optical imaging.

4. Hands-on experience with experimental facilities and equipment used in gas turbine combustion research, including combustion test rigs, flame visualization systems, and gas analyzers.

5. Knowledge of ammonia combustion chemistry, thermodynamics, and pollutant formation mechanisms, as well as familiarity with ammonia-based fuel systems and gas turbine technology.

6. Proficiency in data analysis software tools such as MATLAB, Python, or LabVIEW, and experience with numerical simulation software packages such as ANSYS Fluent or CFD-ACE+ is desirable.

7. Excellent communication skills, both verbal and written, with the ability to convey complex technical concepts effectively to diverse audiences.

8. Strong organizational skills, attention to detail, and ability to manage multiple tasks and priorities in a dynamic research environment.

9. Demonstrated ability to work independently as well as collaboratively in a multidisciplinary research team, with a proactive and results-driven approach to research.

10. Commitment to maintaining a safe laboratory environment and adherence to laboratory protocols and safety procedures.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and skilled Post-Doctoral Research Fellows to join our dynamic research team focused on hydrogen safety and combustion modeling. The successful candidate will play a key role in advancing our understanding of hydrogen safety and hazard mitigation through the development and application of computational models. This position offers an exciting opportunity to collaborate with leading experts in the field, contribute to cutting-edge research projects, and drive innovation in combustion science and technology. The position is based on Department of Mechanical Engineering, National University of Singapore. The first contract will be 12 months, and renewable up to 36 months depending on the scholarly performance.

The responsibility of the positions include:

1, Develop and implement advanced computational models for simulating hydrogen safety combustion processes (e.g., ignition, deflagration, deflagration/detonation transition, and detonation).

2, Validate computational models against experimental data and benchmark simulations to ensure accuracy and reliability.

3, Collaborate with experimentalists and other researchers to design and conduct experiments for model validation and verification purposes.

4, Explore novel modeling approaches and techniques (e.g., machine learning) to improve the predictive capabilities of combustion models, with a focus on efficiency, scalability, and robustness.

5, Publish research findings in peer-reviewed journals and present results at conferences and workshops to disseminate knowledge and contribute to the scientific community

6, Contribute to the development of research proposals and grant applications to secure funding for future projects.

7, Mentor graduate students and provide guidance on research methodologies, software tools, and data analysis techniques.

Qualifications

1, Ph.D. in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or a related field.

2, Strong background in computational fluid dynamics (CFD), numerical methods, and scientific computing.

3, Expertise in combustion theory, chemical kinetics, and turbulent reacting flows.

4, Proficiency in programming languages such as Python, MATLAB, C/C++, or Fortran.

5, Experience with commercial CFD software packages (e.g., ANSYS Fluent, OpenFOAM) and combustion modeling tools (e.g., CHEMKIN, Cantera).

6, Excellent analytical and problem-solving skills, with the ability to design and execute complex simulations and analyses.

7, Effective communication skills, including the ability to present technical information clearly and concisely in oral and written formats.

8, Demonstrated ability to work both independently and collaboratively in a multidisciplinary research environment.

9, Strong publication record in reputable peer-reviewed journals and a demonstrated commitment to academic excellence.