CNRS@CREATE is looking for a Postdoctoral Research Fellow in Urban Studies to join our SPACE project team.

SPACE PROJECT

The SPACE project is developing a research protocol for infectious disease prediction and prevention in Singapore. The project draws upon analyses of the risk factors and sociospatial patterns that drive dengue and COVID-19 transmission in Singapore, as well as the social and technical skills developed by individuals and community groups in response to disease propagation. Combining insight from the social sciences (geography, architecture and urban design, communication, economics, sociology, public policy) with biology (epidemiology, entomology) and computer science (artificial intelligence, biostatistics), the project will use the concept of “adaptive capacity” (AC) to explore the potential of community-based “latent social capital” (i.e. human, cultural, political, and social) as key assets for adaptive responses to health challenges related to dengue in its interplay with COVID-19.

The project brings together 23 researchers, 10 from France and 13 from five Singaporean universities (NTU, NUS, SUTD, SMU and SUSS). The research will be conducted in Singapore.

DESCRIPTION

Cities are at the forefront of adaptation and mitigation strategies in a wide range of global issues. Over the past decades, climate change and public health more particularly have been increasingly connected as changing environmental conditions pose significant threats to health and health care systems. The propagation of vector-borne infectious diseases, such as dengue, malaria and Zika, and new, emerging diseases, such as Covid-19, have prompted cities to increase their adaptive capacities in terms of prediction, prevention, and preparedness to current and future pandemics.

Building political agency across scales of government, in various national and transnational arenas and through various means (city-to-city cooperation, city networking, city diplomacy) has been a key challenge for cities. Building and sharing real-time data and coordinating public health responses across borders have been facilitated by the use of digital technologies through various types of devices (contact tracing applications, global mobility trackers, temperature screening kiosks and stations, environmental and population surveillance drones, digital platforms and web-based mapping of hotspot areas). Predictive Artificial Intelligence (AI) fed by growing streams of data from various sources along with increased capacity of Machine Learning have allowed improving model robustness. Finally, biotechnologies are also leveraged for improving diagnostics, vaccines and new vector control strategies. This takes place in a context whereby international policy transfer or policy mobility at large are being accelerated worldwide by digital and social media.

Against this backdrop, this postdoctoral research position aims at exploring the ways in which cities in South-East Asia are responding to the emergence and propagation of infectious diseases, both endemic, vector-borne diseases, such as dengue, and new, emerging infectious diseases, such as Covid-19. More particularly, it aims at analyzing the different ways in which knowledge about diseases and public health responses are built, circulated and shared across borders. Emphasis will be put on the use of “smart technologies” (digital technologies based on Big Data, Mobile Internet and AI) for the prevention and management of diseases. Case studies should include Singapore as a main case and a selection of other relevant cities in South-East Asia sharing similar health and environmental conditions. Specific digital technologies and tools may be selected to narrow down the international comparison.

The project’s research methodology may include discourses and/or content analysis of global and national narratives on changing urban environmental and health policies, literature reviews, which may include a scoping review, designing and conducting qualitative interviews with public and private stakeholders in Singapore.

EXPERIENCE & QUALIFICATIONS

• A doctoral degree in the appropriate field or discipline, such as urban studies, urban geography, urban planning, sociology, political science, public policy, environmental policy, public health, communication studies and cultural studies.
• The candidate should have demonstrated expertise in methods of qualitative research including interviews, ethnography, focus group discussions, data collection, and analysis.
• Proficiency in English
• Proficiency in one other Singapore’s official languages would be an asset.

This postdoctoral scholar will benefit from close collaboration with other team members from the SPACE project.

FURTHER INFORMATION & CONTACT

Salary range: 6100 to 7200 SGD (depending on suitability and experience).

Duration: 12 months.

Workplace Address: CREATE Tower (NUS Campus), 1 Create Way #08-01 Singapore 138602

Please send a short cover letter describing your suitability for the position, detailed CV with publication list, a concise description of research interests and future plans, and academic transcripts to: [email protected].

We will begin reviewing applications for the positions immediately. Expected start date of the contract is April 2024.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

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

Job Description:

The candidate will train large language models with multimodal inputs (e.g. human generated text, programming languages, images). The candidate will investigate techniques to make language models amenable to logical reasoning and arithmetic reasoning. The candidate will need to scope out possible data collection, curation, and cleaning strategies and publish at high-impact venues in machine learning, NLP, and AI.

Job Requirement:

• PhD in computer science with specialization in NLP, machine learning, deep learning, multimodal processing, or related fields.
• At least 5 years of experience
• Proficient programming skills (C++ experience preferred), familiarity with Linux, adept with processing and training large language models
• Publications at top AI/NLP/ML venues are a must
• Strong analytical and critical thinking skills, team player with good communication and interpersonal skills
• Experience in large-scale data processing (e.g. at least 40GB of text) is highly desirable

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 8 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct MindChamps unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements:

• Diploma or higher in any discipline with a minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills

LEVELS DEPENDS ON EXPERIENCES: Teacher / Senior Teacher / Lead Teacher

We are looking for a highly motivated individual to join our group which research focus is to establish and optimize the fission yeast Schizosaccharomyces pombe as a bioreactor for high-value protein production. The successful candidate will also support in maintaining lab infrastructure and research studies.

Requirements:

• BSc (Hons) / MSc in Biological Sciences or related fields
• Experience with mammalian cell culture and molecular cloning is required
• Highly motivated and able to work independently

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their application letter and CV with at least two references to:

Dr ZHANG Dan

Principal Investigator

Temasek Life Sciences Laboratory Limited

Email: [email protected]

(Please note 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 ECE department is looking for candidates to conduct research on microarchitectures that support emerging computing paradigms (i.e., brain-inspired or quantum-inspired computing). The candidates will explore microarchitecture designs that support these emerging computing paradigms using a system-technology co-design approach. Tasks involve the exploration of various design aspects across the devices-circuits-systems-architectures-algorithm stacks.

Qualifications

1. Minimum a Bachelor degree in engineering
2. Preferable to have experience in microarchitecture design and use of EDA tools such as Cadence Virtuoso, HSPICE, etc. Experience in nonvolatile device technologies is a plus.
3. Open to Fixed Term Contract

COMPANY DESCRIPTION

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

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

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

RESPONSIBILITIES

• Conduct material and field research and verify facts before scripting for production.
• Provide advice to producers based on the facts/data gathered.
• Build script draft and sequence for content flow and eventually write good quality Chinese scripts for programme.
• Brainstorm interesting programme concepts and do presentation at pitch sessions.
• Source for talent and assess suitability of role based on requirement of programme.
• Source for location and assess for suitability and cost.

• Minimum a degree in education with 2 years of working experience.
• Passionate about the entertainment industry.
• A strong communicator and has a flair for writing.
• Possess good research skills.
• Good command of Chinese language - both written and spoken as you will be attached to the Chinese Entertainment production.
• Effectively bilingual in Mandarin and English to communicate with various departments and organisations.

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

The Centre for Quantum Technologies (CQT) is a research centre of excellence in Singapore. It 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 and also has staff at Nanyang Technological University. With some 180 researchers and students, it offers a friendly and international work environment.

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS) is offering a position for a postdoctoral fellow who will work on quantum cryptography, specifically multi-party quantum cryptography. Sample topics include

• quantum homomorphic encryption, quantum private information retrieval and secure delegated quantum computation;
• composable security for multi-party quantum cryptography;
• quantifying tradeoffs between security and noise in multi-party quantum cryptography;
• using quantum error correction for noise resilient quantum cryptography

Job Requirements

he candidate should have a strong track-record working on technical aspects of quantum information theory and cryptography. The candidate is expected to have a PhD in electrical engineering, computer science, physics or applied mathematics and a publication record in quantum information theory.

The candidate will work closely with Assoc. Prof. Marco Tomamichel . The position is funded by the QEP (Quantum Engineering Programme) project “Quantum homomorphic encryption: the Swiss army knife for the quantum internet?” and thus the research conducted must be within its scope, i.e., roughly around the sample topics mentioned above. The candidate is expected to use the postdoctoral stint to develop a strong research profile by conduction research on the above-mentioned topics.They are also expected to contribute to the group, for example by co-supervising undergraduate student projects and assisting with teaching.

For more information about the group's research interests, please visit the homepage at

http://www.marcotom.info/

Salary will be competitive and will be commensurate with the candidates work experience. The successful applicant will also receive generous travel funding.

Applicants should submit a detailed CV and the completed NUS Personal Data Consent for Job Applicants directly at our NUS Career Portal. Positions will initially be offered for one year, with the option to extend up to a total of three years. The start date is flexible. If shortlisted, applicants should also arrange for at least two to three letters of reference to be sent to the same address.

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 looking for a passionate and self-motivated postdoctoral research fellow to join our multidisciplinary team working on the development of novel synthetic and bio-based polymers and composite materials for environmental sustainability applications. The successful candidate will be expected to be part of the research team under the supervision of the Principal Investigator (PI) to work on:

• Developing materials and technologies for resource recovery from seawater desalination processes.
• Conducting research and experiments for materials synthesis, fabrication, testing and characterization.
• Writing and preparing progress reports, manuscripts, and proposals related to the propjets.
• Assisting the PI in guiding junior researchers, graduate students, and undergraduate students.
• Assisting the PI in managing projects and laboratories and other ad hoc tasks that may be assigned.

Qualifications

• PhD degree in Materials, Chemistry, Chemical Engineering, Environmental Engineering, or any other related field, obtained from a reputable university.
• Two or more years of postdoctoral working experience as an independent researcher showing evidence of excellent research accomplishments and student supervision.
• Excellent research publication records in reputable international journals.
• Strong background in biomass and biobased polymers, hydrogels, and composite resins for adsorption and separation of metal ions.
• Excellent written and spoken English communication skills.
• Being a good team player across multiple disciplines.
• Prior experience in managing projects, laboratories, and research funding.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Interpretable Graph Neural Networks.

The successful candidate is required to:

• Contribute to Deep Learning and Interpretable Graph Neural Networks
• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• PhD degree in Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant

The research officer will serve as the crucial link between the study and its participants, and be in charge of recruiting and interviewing participants for the study.

• Contribute in preparing data for analysis
• Understand the context of the research, organize and process complex data
• Create a set of codes or labels that recognize patterns and connections within the data
• Develop guide or codebook that documents the definitions and criteria for each code
• Continuously comparing data to refine and modify codes as the analysis progresses
• Contribute in preparing interview questions
• Innovate to improve processes within the study, particularly in recruitment and data collection
• Contribute in preparing findings for dissemination in multiple formats (e.g., powerpoint, infographics, video)
• Work collaboratively with other researchers or team members involved in the research project

Research Associate / Fellow

The Research Associate/ Fellow will perform a crucial role in managing the data-related tasks in the study.

• Provide leadership and expertise in the development and implementation of Research Data Management
• Oversee the data preparation progress, develop data coding protocols, and ensure data quality
• Conduct data analysis and communicate findings to stakeholders
• Prepare research reports and publications
• Undertake administrative tasks related to the research project
• Participate in research-related activities (seminars, workshops, etc.)
• Work collaboratively with other researchers or team members involved in the research project

Qualifications

Research Assistant

Minimum Education Qualification: A Bachelor’s degree and above in relevant areas

• Able to communicate effectively and build rapport with individuals from different backgrounds
• Able to work independently and autonomously with participants in recruitment and interviews
• Dynamic, resourceful, and able to work independently but also as a team.
• Proficiency in MS Office (particularly in Excel and Powerpoint)

Research Associate / Fellow

Research Associate- Minimum Education Qualification: A Master’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

Research Fellow- Minimum Education Qualification: A PhD’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

• Proficient in data-related tasks
• Excellent scientific writing skills
• Excellent in quantitative research methods (such as SEM) and proficient in the use of SPSS or other software such as R, Mplus, Stata.
• Excellent work planning and time management skills
• Excellent problem-solving skills
• Able to multi-task and work under pressure in a changing environment
• Good communication skills (e.g. inter-personal skills, ability to present findings to different stakeholders)
• Strong interest in research in the forensic and rehabilitation field
• Self-motivated: Able to work well both independently and as a member of a team
• Passion for high-impact research

Applicants are expected to address all requirements and job responsibilities.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Interpretable Graph Neural Networks.

The successful candidate is required to:

• Contribute to Deep Learning and Interpretable Graph Neural Networks
• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• PhD degree in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Somabha Mukherjee on Causal Network Inference under a project on Statistical Inference for Network-Dependent Data: High-Dimensional Feature Selection & Inference in Higher Order Markov Random Fields.

The main responsibilities of the position include:
Running simulations, doing real data analysis, and proving theoretical guarantees for causal network recovery algorithms.

Qualifications

• Qualifications / Discipline: Statistics and Data Science/ Related Field Master.

• Skills: Coding with Python/R; familiarity with basic theoretical statistical tools and techniques.

• Experience: Advanced bachelor/master student

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• Conduct experiments on acoustic measurements

• Perform numerical simulation of sound propagation

• Apply machine learning to sound localization

Qualifications

The candidate should have PhD Degree in mechanical engineering or equivalent. He should have knowledge in acoustics and sound propagation. Prior experience in experimental measurements, numerical simulations (e.g. Comsol), and machine learning (e.g. PyTorch) will be helpful.

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

As a Senior Scientific Officer, you will be tasked but not limited to planning and executing the grant-making process, annual budgeting, exploring funding opportunities, and managing documents and deadlines. You will need to provide consultation and administrative support to Programmatic Theme Leads, Principal Investigators and other faculty on operational and grant related matters. You will serve as liaison with NUS research offices, Office of Legal Affairs, Industry Liaison Office and external funding agencies on issues of intellectual property, project and research collaboration agreements, MTAs, NDAs, etc. You will also be working closely with the Outreach, HR and Finance department on grant administrative and research events.

Duties and Responsibilities

Research Grant Management and Coordination

• Assist with grant applications and managing the review process with proper documentation on IRB/ DSRB, IACUC ethics/safety & risk protocols, regular progress/ appraisal/ other research regulatory requirements
• Promote the development of external funding strategies for research, academic projects, and institutional priorities
• Provide resources and assistance to faculty, staff, and administrators in searching for external funding opportunities, budget preparation and updating biosketches of Principal Investigators
• Assist with preparation and submission of requests for external funding, including grants, sub-awards, and contracts
• Ensure that policies and procedures for compliance with research-related regulations are up-to-date and reviewed regularly.
• Provide bibliometrics on research grants as required

Research Program & Project Management

• Provide strategic input for the development of proposals for project and budgeting
• Develop, manage, and evaluate research themes through direct collaboration with Principal Investigators, clinicians and Theme Leads to strengthen the strategy for each of the projects and coordinate these toward building a cohesive program
• Coordinate the development and maintenance of effective research themes group communication systems
• Preparation of budgets for research grants, virements and tracking of grants
• Planning and scheduling of research meetings, writing meeting minutes and coordinating research/other meetings as well as following up decisions made and other necessary actions as required
• Ensure good and tidy document housekeeping and timely correspondence:
  Maintain letters of award, approvals, amendments, etc.
  Maintain grants data and progress reports

Qualifications

• At least PhD in Life Sciences, Medicine, or related field
• Preference will be given to candidates with experience in:
  Science Project Management
  Research Grant Management or Administrative
  Scientific legal matters e.g., MTA, service agreements, RCA, patent filing etc.
• Able to work independently, effectively and a good team player
• Proactive, meticulous, analytical, resourceful and organized
• Demonstrated ability to deliver results to the appropriate quality and timeline metrics.
• Excellent writing and reporting ability
• Excellent communication and presentation skills
• Proficient in Microsoft Suite (including Word, PowerPoint, Excel, Outlook, and Teams), Adobe and Zoom applications

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.

We are looking for a research engineer / fellow to help us develop a novel design for a blast door system as part of an industrial research project developing. The results of this project will be used in projects throughout Singapore. It is our aim to include all the door components in the analysis, making this a holistically developed solution.
The research will be conducted using numerical simulations, experiments and analytical solutions. The successful candidate will have a chance to acquire in depth experience in all these aspects of protective research and design.

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.
• Be responsible for these technical deliverables:Develop models of the door system using advanced finite element software.
  Plan and conduct blast testing of the proposed solutions.
  Conduct laboratory tests of components as needed.
  Develop analytical models for fast design.
  
• Carry out Risk Assessments and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure the achievement of the project objectives and proper operation and maintenance of equipment.

Job Requirements:

• Have a basic knowledge of structural dynamics.
• Have a degree (preferably Master’s or PhD) in mechanical engineering, electrical / electronics engineering or related domains.
• Knowledge of blast and shock loading theory and applications would be advantageous
• Knowledge of non linear materials modelling would be advantageous

Key Competencies

• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Have some experience in the use of advanced FEM analysis. This could include experience in ABAQUS, LS-Dyna, Radioss or equivalent software.
• Able to support other related laboratory tasks as needed
• Willing to learn new skills as needed for the project

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will be responsible for leading specific research programmes in remote sensing technology and applications. They are expected to continuously enhance the scientific knowledge of the Centre and participate actively in remote sensing technology development and application projects.

We are specifically looking for candadiates to lead the following projects:

1. Monitoring Water Quality and Harmful Algal Blooms in Singapore Coastal Waters with Multispectral and Hyperspectral Satellite Data.
Experience and expertise in the following areas will be advantageous:
* Theory and applications of ocean colour remote sensing and ocean optics.
* Retrieval of water quality parameters from in-situ and satellite data.
* In-situ measurements of sea water optical properties.
* Radiative transfer simulations (e.g. with Hydrolight code) of water reflectance.
* Atmospheric correction of satellite data.
* Machine learning and artificial intelligence techniques for remote sensing applications.

2. Forest Biomass Estimation Using Spaceborne Polarimetric Synthetic Aperture Radar Data.
Experience and expertise in the following areas will be advantageous:
* Theory and applications of polarimetric synthetic aperture radar.
* Estimation of forest biomass from satellite data.
* Airborne, spaceborne Lidar for vegetation studies.
* Regional land cover/vegetation/biomass mapping.
* Land use and land cover change.
* Machine learning and artificial intelligence techniques for remote sensing applications.

Qualifications

- A Doctoral Degree in Science, Engineering, or in other relevant disciplines with research experience in remote sensing or related fields.

Other qualities we are looking for:
* Good knowledge of advanced digital data/image processing techniques and applications
* Experience and skill in scientific and engineering computing
* Ability to develop and implement data/image processing and/or machine learning algorithms

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 Assoc Prof Lu Jiong on magnetism in carbon nanostructures under a project on Intelligent topological engineering of single-molecule quantum π-magnets.

The main responsibilities of the position include:

1) the synthesis and characterization of carbon nanostructures

2) Theoretical understanding the magnetic and electronic properties of these molecules

Qualifications

• Qualifications / Discipline: PhD in Chemistry or Physics or Materials Science
• Skills: Material Synthesis/Characterization or Computations or Scanning Probe Microscopy
• Experience: Material Synthesis/Characterization or Computations

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer.

The successful candidate will work on numerical simulations of fluid-structure interaction, including waves and tides interacting with large deformable platforms and renewable energy devices.

Job Requirements

• Possess at least a Bachelor’s degree in hydrodynamics, coastal/ocean engineering, or a related discipline. Masters degree in related field will be advantageous.
• Knowledge of coastal dynamics such as waves and tides.
• Strong writing and communication skills.
• Good publication record is advantageous.
• Open to fixed term contract.