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.

Research Associate, Animal Sciences

(Full-time position – Singapore based location)

ABOUT HUMMINGBIRD BIOSCIENCE

Hummingbird Bioscience is a data-driven precision biotherapeutics team discovering and developing transformative biologic medicines for hard-to-treat diseases. The Hummingbird Bioscience model combines computational and systems biology and wet lab drug discovery in a multi-disciplinary, collaborative environment spanning initial discovery through clinical development. We harness this integrated approach across target identification and patient selection, enabling our team to increase the efficiency of translating novel scientific insights while reducing the inherent risk in drug discovery and development. At Hummingbird Bioscience, our commitment to rigorous science, teamwork, and intellectual integrity underpins our passion to accelerate the journey of new drugs from concept to clinic.

Our highly experienced teams in the US and Singapore span antibody discovery, pharmacology, production and clinical development. For more information, please visit www.hummingbirdbioscience.com, and follow Hummingbird Bioscience on LinkedIn, Twitter and YouTube.

ABOUT THE ROLE

We are looking for a Research Associate, Animal Sciences to join the Animal Sciences Pharmacology team. The job function includes testing and optimizing of novel antibody therapies in various animal models. It is an exceptional opportunity to translate basic discoveries to the clinic. This will be a permanent role for the right candidate with ample opportunity to grow within the company.

KEY RESPONSIBILITIES

• Perform duties in accordance with animal welfare regulations, Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC), and Institutional Animal Care and Use Committee (IACUC) guidelines
• Support team of scientists via meticulous execution of planned studies in a timely manner
• Handling animals with proficiency using species-specific techniques
• Perform routine laboratory research activities such as: daily observations of animal health, collection of biological specimens from animals for testing upon requests of scientific team
• Perform advanced laboratory research activities on variety of animal species such as: obtaining blood, bone marrow, and tissue samples, immunization, administration of pharmaceuticals, anaesthesia and euthanasia
• Compile and analyze research data using various relevant software (Prism-GraphPad; MS Office)

ESSENTIAL QUALIFICATIONS

• Diploma or Degree in Life Sciences
• Minimum 1-year relevant experience in working with laboratory animals
• Responsible Care and Use of Laboratory Animals (RCULA) certified
• Experience with cell-and patient-derived xenograft models, tail bleeds, subcutaneous & intraperitoneal injections, tumor measurements, oral gavage, cardiac perfusions, dissections, immunogen preparation
• Excellent oral and written communication skills are required
• Proficient in MS Office

DESIRABLE QUALIFICATIONS

• Experience with multiple animal models, including mice and rats is preferable
• Experience with PK and toxicity studies is preferable
• Proven ability to work on multiple projects at once
• Proven ability to independently manage work
• Willing to work over weekends when necessary (on overtime pay)
• Experience with Prism - GraphPad is a plus

OUR MISSION & VALUES

Our fast-growing biotechnology company is committed to discovering and developing important new drugs for cancer and autoimmune diseases, and living by our values: Excellence, Determination, Teamwork, Intellectual Integrity and Audacity.

JOIN US AT THE FRONTIER OF DRUG DISCOVERY AND DEVELOPMENT

We are looking for passionate and motivated individuals committed to solving important, complex problems. We are committed to the personal and professional development of our team and offer robust learning and development programs. Hummingbird Bioscience understands the need for flexibility for our team and offers a generous paid time off program with flexibility to support employees through different life stages. We invest in our team’s health by offering competitive benefits including health and dental insurance, and a comprehensive and holistic employee assistance program. We foster a more collaborative, productive, and sociable culture with on-site lunches and snacks. Finally, we believe in creating social impact beyond our business through corporate social responsibility initiatives.

Are you ready to join us on our mission to discover and develop important new drugs for cancer and autoimmune disease? Click on ‘Apply for this Job’ to submit your application.

For further enquiries, please email us at [email protected].

Hummingbird Bioscience is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all Singapore and US federal, state and local laws and/or guidelines that prohibit employment discrimination on the basis of age, race, color, gender, sexual orientation, gender identity, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions, marital status, protected veteran status and other protected classifications.

Job Description

We are looking for talented and dynamic Computational Biologists/Bioinformaticians/Data Analysts to work with a multidisciplinary group of scientists on the discovery of new targets for therapy in Diabetic Nephropathy (DN), a devastating complication of diabetes causing significant morbidity, mortality and human suffering. In Singapore, the incidence of DN as a cause of end-stage kidney disease is among the highest in the world. The job will be part of the NMRC-funded project called Diabetes Study in Nephropathy and other Microvascular Complications II that is coordinated by Duke-NUS Medical School, and will be based in within the Centre for Computational Biology (CCB) of Duke-NUS. The multi-omics data for the project have been already generated and are ready for analysis. The job is available immediately, and it will be for a period of 3 years, with possible extension depending on performance and funding availability.

The selected candidate will perform a variety of research activities within the overall scope of the DYNAMO II research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Perform analysis of complex and large-scale genomics data, including (but not limited to) WGS and transcriptomic data (including single cell sequencing data).
• Use computational tools and algorithms written in one/all R, PERL and Python.
• Apply qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation, and evaluation of -omics data sets, conceptualise new ideas and develop plans for independent research in the field of WGS and other -omics data modalities (e.g., RNAseq, scRNA-seq, etc.).
• Write and review research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Contribute to project management, provide guidance to junior researchers as well as undergraduate and graduate students, occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in a related scientific area (e.g., Bioinformatics, Computational Biology, Data Analytics) with demonstrated hands on experience in bioinformatics and genetics/genomics data analyses. Candidates with higher credentials may be considered for more senior appointments.
• Demonstrate very good knowledge, skills and expertise, with potential to achieve research excellence in genetics and genomics.
• Experience in data analysis and statistical modelling of genomic data, as well as in network analysis and application to complex diseases.
• Familiar with high-performance computing (HPC) environment and possesses strong computational biology skills (experience in R, Perl, Python, SQL, Bash etc).
• Proven track record in the form of high impact publications.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Resposibilities :

- Responsible for facilitating order management transactions

- Creating sales order, delivery orders and coordinating distribution and shipment efforts using SAP system

- Issues purchase orders and liaise with overseas suppliers to ensure smooth delivery of shipments

- Generation reports and provide general support to other departments

- To assist sales account managers in trade processing and/or customer servicing as needed

- Review and proactively seeking improvements to current operations

- Participating in implementations of new Operational Excellence Initiatives

- Perform other administrative duties as assigned

Requirements :

- Candidate must possess at least Diploma/Advanced/Higher/Graduate Diploma/Degree in any field.

- At least 1 Year of working experience in the related field is required for this position.

- Experience using SAP is an advantage

- Proficiency in Microsoft Word, Powerpoint and Excel

- Good oral and written (English), as well as organizational skills

- Optimistic in approaching/solving issues

- Able to work independently

- A good team player who is proactive and meticulous

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.

Energy Studies Institute (ESI)

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

The Energy and the Environment Division has a vacancy for a researcher in the fields of energy systems modelling and analysis, environmental sciences or other related quantitative research fields. The researcher will support ongoing research projects of the division.

Job Scope

• Develop strong modelling research that contribute to project deliverables.
• Contribute to project presentations and reports, and publish articles in reputable academic journals.
• Carry out administrative tasks, including the organising of seminars and workshops, management of student interns, and other tasks assigned by the Division Head and PI.

Requirements

• Possess a PhD degree in the fields of energy and climate economics, energy systems modelling, operations research, management science, or other related quantitative research fields.
• A good understanding and interest in energy, climate change and related policy issues, such as energy supply and demand, regional power grids, energy and the environment, climate change and the Paris Agreement.
• Relevant research experience using climate change / energy modelling tools, such as the Integrated Assessment Model, and power dispatch model, optimization approach, etc. A good knowledge of programming language (e.g., Python) would be an advantage.
• A solid knowledge of optimization methodologies would be highly valuable.
• Relevant working and practical experience in industry or government agencies in the area of energy and environment would be highly valuable.
• Relevant research experience on the ASEAN region would be an advantage.
• Published in reputable energy, environmental and/or systems modelling related journals.
• Has a strong written and oral command of the English language.
• Able to work independently and as part of a team.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The laboratory of Antimicrobial Resistance and Drug Development in A*STAR ID Labs is looking for a highly self-motivated individual to join us as a Research Officer. Our lab is interested in developing new screening assays for drug discovery and early-stage antimicrobial drug development. Lab has extensive experience working with various pathogens (bacteria, virus and parasites).

The job responsibilities include:

• Bacterial and viral assay development and assay optimization
• Compound screening
• Target deconvolution (understanding mechanisms of action and resistance of selected compounds)
• Design and conduct experiments including data collection and analysis
• Summarize and present the data in lab meetings
• Develop new research techniques and approaches
• Collaborative spirit with internal and external collaborators
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures

Job Requirements:

• Bachelor Degree in Life Sciences/Biomedical Sciences, Microbiology, Molecular Biology or related field
• 5 years of relevant experience or candidates with relevant final year project expereince
• Highly motivated and able to work independently
• Adaptable to working with different organisms (bacteria or viruses)
• Team player with good interpersonal skills
• Good spoken and written communication skills
• Possible work in a BSL3 facility

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

We are inviting applicants for the position of Senior Research Assistant to work on projects at the intersection of artificial intelligence and architecture. The successful candidate will work with researchers from other domains to implement deep learning models with spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

· Proficient programming skills.

· Good interdisciplinary approach in working with 3D real-world datasets.

· Strong design knowledge in architecture, and urban planning.

· Experience with deep learning frameworks

The candidate should hold a Masters in computer science, AI, data science, architecture or other related field.

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) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment.

Learn more about CQT at www.quantumlah.org

Job Description

The applicant will collaborate with Research Prof. Itai Arad in the intersection of complexity theory, quantum information and quantum foundations. The job will include studying problems related to the quantum PCP conjecture. We will try to attack this problem by studying classical toy models that posses the central ingredients of the quantum problem, yet are easier since they are classical. In particular, we shall work on a "quasi-quantum" theory, which deals classical probability distributions as generalizations of quantum states. We will study the computational complexity of the local Hamiltonian problem over these states. For this purpose, the successful applicant will be granted significant independence concerning their research.

EOS Defence Systems Pte Ltd has a requirement for qualified and experienced scientist to join a dynamic R&D team as a Senior Team Leader working in the areas of developing advanced high power and high energy laser systems. The work is challenging, and applicants should be technically capable and experienced to provide leadership in the design and development of advanced laser systems. Applicants must possess appropriate qualifications, a Ph. D in laser physics, with extensive experience in the areas of developing and managing the R&D of high power and high energy lasers are essential.

Primary duties:

1. Undertake research and development of high-level system concepts of advanced laser systems for defence and space applications.
2. Design and development of advanced high power (multi-kW) Continuous Wave (CW) fibre lasers, amplifiers, and high energy (multi-Joule) pulsed solid state lasers.
3. Design and development of multi-beam combination technologies including Coherent Beam Combination, Spectral (Wavelength) Beam Combination, and other advanced beam combination technologies.
4. Design and development of other advanced laser technologies, such as phase conjugate mirror, imaging relay systems, single frequency generation, etc.
5. Design and development of advanced optical systems such as adaptive optics, telescopes, and beam management systems.
6. Provide necessary leadership and co-ordination for members of R&D team for various R&D activities.
7. Provide training to young team members on lasers, optics, and photonics.
8. Undertake alignment, testing, operation, maintenance and debugging of laser systems, laser power supplies, optical instruments, associated electronics, and control software.
9. Preparation and maintenance of high standard documentation in respect of design and development work undertaken in accordance with various quality objectives and 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

Having witnessed the achievements of the large models in 2023, there has been a new surge of machine learning and AI models in recent days, which again puts up the public concerns about the explosively increasing energy consumption during the model training phase. According to Dr. Sajjad Moazeni, an AI researcher at University of Washington, the training of GPT-3 roughly consumes 10 gigawatt-hour of electricity ^([1]), approximately equivalent to the daily electricity consumption of 440,000 average Singapore households in 2021 ^([2]).

Significant efforts have been devoted to improving the efficiency of the model training phase, in terms of hardware, model architecture, networking, and algorithm design, etc. The PI (Dr. Zhang Junyu) of this project would like to tackle this problem from the algorithmic perspective, by developing theoretical understanding of the open questions on the training algorithms, in terms of the convergence, complexity, local landscape properties, and potential algorithmic improvement based on the new theoretical findings.

[1] Data from UW News. [2] Data from Statista

Qualifications

Interested applicants are required to possess a PhD in 2024. He/she should have a good understanding in

1. convergence and complexity analysis for (nonconvex) optimization algorithms

2. stochastic process and martingale theory

3. semi-algebraic and subanalytic geometry

4. stochastic approximation methods

5. dynamical systems

The applicant should also be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

The SB Fellowship Manager will be mainly responsible for managing and executing the programme's flagship Innovation and Faculty Fellowships. Applicants should be driven, passionate about Med-/HealthTech, able to deliver within strict timelines, and have experience with project/programme management. The role requires a team player who enjoys a dynamic working environment, and provides the opportunity to work with local and international Med /HealthTech partners in the Singapore Biodesign network.

Responsibilities:

• Execute and manage Fellowships operations, main POC for Fellows
• Support Fellowship Heads and Senior Programme Manager in relevant programme development, management and execution
• Support Fellowship-related marketing and events
• Support local and international partnerships relevant to Fellowships, work with Senior Programme Manager and Senior Business Development Manager on maintaining relevant partnerships
• Support the preparation of partnership agreements and contracts
• Interface with relevant Corporate Group Services e.g. procurement
• Support curriculum development for SB?s training initiatives relevant to Fellowships
• Support budget management and work with Finance to monitor financial movements of SB?s budget
• Support SB training initiatives

Qualifications:

• At least a Bachelor's Degree in Science or Engineering
• At least 3 years of experience in industry/ research/ healthcare clusters
• Experience with project or programme management
• Proficient in MS office (Microsoft Project, Word, Powerpoint and Excel)
• Excellent listening, writing, presentation, organizational and relationship building skills required
• Enjoy working in a small team, start-up talent development environment

This position reports to the Senior Programme Manager.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow 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 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 be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow is going to investigate the design of novel database systems on modern hardware (e.g., GPUs and/or Non-volatile memory) and data science applications.

Qualifications

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Strong systems development 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

For an R&D project in the area of RF and microwave communication and remote sensing systems, we are looking for an experienced designer of microwave power amplifiers (PA).

In this position you will:
• design innovative pulsed and CW power amplifiers for various applications,
• draft specifications based on simulations and measurements,
• test the power amplifiers and write measurement reports,
• devote time on researching innovative power amplifiers, especially in relation to performance and thermal management,
• work with other team members on the integration of the PAs into systems and support testing of these systems,
• participate in meetings and attend conferences where applicable.

The job requires proven experience with PA design and testing tools.

Qualifications

• Possess a PhD degree in Electrical Engineering
• Several years of proven experience in the simulation and design of RF and microwave power amplifiers.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of power amplifiers.
• Able to work independently and in a team.
• Open to fixed-term contract.

JOB DESCRIPTION

We are seeking to recruit a highly motivated Research Fellow to investigate the rules in cancer antigen discovery, towards therapeutic and preventive therapy. Project involves mass spectrometry, immunology and computation. Initial contract of 2 years, extendable for another 2 years subject to positive performance.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry
• Expertise in T-cell engineer highly preferred
• Interested in data and computation
• Solid publication record and strong scientific writing skills
• Strong motivation and energy to lead project
• Good organisational, verbal and interpersonal skills
• Need to be a team player

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an enthusiastic and well-motivated Bioinformatics Research Fellow with exceptional organisation and communication skills to work on a major research project under the direction of Principal Investigator. This role involves designing, implementing, and analyzing complex statistical models and algorithms to extract meaningful insights from biological data sets. The specialist will collaborate with interdisciplinary teams and contribute to cutting-edge research projects in genomics, proteomics, and other related areas.

Key Responsibilities:

1. Develop and implement advanced statistical methodologies for analyzing large-scale biological data sets, including genomics, transcriptomics, proteomics, and metabolomics data.

2. Apply machine learning, data mining, and other computational techniques to identify patterns, correlations, and predictive models in biological data.

3. Collaborate with researchers and scientists to design and execute experiments, ensuring appropriate statistical design and analysis methods are applied.

4. Conduct statistical analysis of high-dimensional data, including hypothesis testing, clustering, classification, and regression analysis.

Qualifications

• PhD degree required with at least 2 years’ experience in bioinformatics, statistics, computational biology, or a related field.
• Strong proficiency in statistical analysis, machine learning, and data mining techniques. 3. Proficiency in programming languages commonly used in bioinformatics and statistical analysis (e.g., R, Python, MATLAB, or similar).

Reporting to a Section Leader, the successful candidate will provide everyday oversight in husbandry of a variety of laboratory animals and their environment. The successful candidate will receive training in the best husbandry practices and will be expected to implement this. In addition, he/she will assist the scientific staff which will include daily observations and recordings; and working with the Veterinarians in monitoring colony health. He/she is also encouraged to work for further qualifications in laboratory animal sciences.

Requirements:

• Diploma in scientific subjects such as General Biology, Veterinary or Laboratory Animal Science
• Preferably with at least 1 year of experience working with laboratory animals
• Training will be provided for candidate without prior experience
• Good team player and communication skills
• Good computer skills in Microsoft Words, Excel and Outlook)
• Able to work on weekends

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 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 National University of Singapore invites applications for Research Assistant/ Research Associate (QC Analytical Chemist) in the Department of Clinical Imaging Research Centre (CIRC) Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

The QC Analytical Chemist will be responsible to, and work closely with Head of QC, to ensure the successful and safe release of radiopharmaceuticals manufactured at CIRC. The QC Analytical Chemist’s principal role will be to perform all quality control tests required by pharmacopeia. Alongside with maintaining the inventory of raw materials, maintenance of equipment and all the necessary documentation required for the QC laboratory in compliance to PIC/S GMP.

Main Duties and Responsibilities

The QC Analytical Chemist will be able to:

• Perform analytical chemistry methods (HPLC, GC, radioTLC etc) for ensuring that the radiopharmaceutical is safe for clinical use.
• Perform environmental monitoring as required by PIC/S GMP in the cleanrooms (environmental monitoring, airborne particle monitoring)
• Manage routine microbial tests such as microbial plate incubation, sterility testing, bioburden testing, etc and liaising with third party contractors if required.
• Handle raw materials management, including maintaining inventory status, purchase and receiving of raw materials.
• Establish, develop and validate QC Test Methods for the radiopharmaceutical QC release testing.
• Assist in writing Standard Operating Procedures (SOPs), Work Instructions (WIN), Recordsheets (REC), etc and fill in Batch Manufacturing Records (BMR).
• Ensure that the appropriate documentation is in place.
• Support in managing of QC equipment and metabolite laboratory equipment, including qualifications, operations maintenance, cleaning, calibration and re-qualification.
• Maintain cleanliness in the QC laboratory and the cyclotron facility.
• Handle chemical and biohazard waste disposal.

Main Duties and Responsibilities

• Adhere to good safety and health practices from the university guidelines.
• Cross training to Production routine manufacturing of radiopharmaceuticals
• Any adhoc duties as required for this role

Physical Demands and Work Environment

Personnel should be comfortable with:

• exposure to radiation when handling radioactive samples.

• handling of chemicals for QC testing (flammables, acids, and bases).

• Handling chemical and biohazard wastes

• Occasion lifting of heavy objects such as lead shield containment (lead pots)

• Flexible working hours with occasionally over time

Qualifications

The applicant should:

1. Have a minimum of BSc degree in Chemistry, Biochemistry, pharmacy or a related field;
2. Good knowledge and experience on GMP (Good Manufacturing Practice) or GLP (Good Laboratory Practice);
3. Preferably hands-on experience with operating and maintaining analytical instruments such as HPLC, GC, TLC and also aseptic isolator for sterility testing.
4. Have good analytical processing skills, as well as,
5. Have good critical thinking and proactiveness at work.

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 two (2) referees to this job portal.