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.

JOB DESCRIPTION

We are seeking to recruit a highly motivated Research Officer to support ongoing research into cancer antigen processing and presentation. Project involves supporting the team on biochemistry and immunology experiments, as well as simple bioinformatics.

JOB REQUIREMENT

• Bachelor’s degree or Diploma holder with at least 5 years relevant experience in biomedical science or immunology.
• Laboratory skills in basic biochemistry and cell biology.
• Curious, keen to learn and not afraid to ask.
• Meticulous and responsible attitude.
• Able to function independently on tasks once trained on the job.
• Aspire to further upgrade.

The above criteria are not exhaustive. A*STAR may include additional criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret 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

A Research Fellow (RF) position is available at the National University of Singapore.

The RF will contribute to the development and implementation of statistical analyses within different projects in the field of Medical Statistics and Biostatistics, involving data from large heterogeneous cohorts such as GUSTO and S-PRESTO (more info at https://www.gusto.sg/ and https://www.s-presto.sg/). The projects are developed in close collaborations with researchers from A*STAR Singapore Institute for Clinical Sciences and NUS working in different scientific areas, such as metabolomics and neuroscience, contributing to the interdisciplinary environment of the Institute. As such, excellent scientific communication skills are highly desirable. The RF will be asked to perform both routine and advanced statistical analyses, often characterized by a strong computational aspect.

Topics of interest include, but are not limited to, longitudinal data analysis, graphical models, high-dimensional data analysis and Bayesian statistics. The candidate will work closely with Dr. Andrea Cremaschi, a Senior Researcher in SICS, as well as collaborate with other researchers in A*STAR and NUS.

Qualifications

Applicants should hold or be close to submitting a PhD in Statistics or a related field such as Biostatistics, Mathematics or Computer Science, with a documented competence in Statistics and/or Biostatistics.

Knowledge of programming in R and other coding languages commonly used in Statistics such as C++/Python.

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 selected candidates will be assigned to teach tutorials for specific modules for undergraduates. They will be guided by the module coordinators or instructors.

Responsibilities:

• Participate in regular meetings with the module coordinators and other TAs
• Support class management and administration
• Conduct tutorials or lab sessions
• Assist in setting up tutorial and assessment questions
• Marking of course assignments

Requirements:

• A good honours degree or Master’s degree in a relevant discipline from a reputable university (e.g., Computing/Engineering)
• Possesses excellent verbal and written communication skills and be able to effectively facilitate learning for undergraduate students
• Strong interest in teaching and preferably with proven teaching experience (especially at the tertiary level)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for position of Research machine learning method in biomedical data science in the Centre for Innovation & Precision Eye Health, and Department of Ophthalmology, Yong Loo Lin School of Medicine. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The candidate is expected to have extensive experience in machine learning, trained in a world-leading university, deep knowledge in machine learning based reasoning, planning and abstract representation for biomedical sciences. In addition, In addition, the candidate should be interested in applying these techniques to improve healthcare and biomedical sciences. The candidate is expected to publish in top tier AI conferences or machine learning/medicine journals.

Main duties and responsibilities

1. Develop self-supervised learning method for biomedical sciences.
2. Develop pipeline to adapted machine learning methods developed into medical practices.
3. Improve machine learning method to discover scientific insights autonomously

Qualifications

1. PhD from a top ranked university in the word
2. Strong publication record in machine learning
3. Demonstrated interest in medical and biological applications

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

To support research and evaluation projects on offender rehabilitation by:
a) Collecting and analysing data

b) Developing surveys and conducting interviews

c) Presenting findings and writing reports

Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

• Singaporean
• Degree holder
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

Other information:

• Salary: $2800
• Working days: Mon - Fri (office hours)
• Contract: 12 months
• Location: Redhill

**We regret that only shortlisted candidates will be notified**

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its Singapore and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries. Juven Lee Hui Teng (EAP No. R23116281) EA Licence No. 01C4394

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Ariando with the main responsibility to perform experimental studies on the doping evolution of band structures and superconducting observables in the infinite-layer nickelates using various methods based on quantum transport measurements.

Qualifications/Requirements

• Qualifications / Discipline: PhD in Physics/Electrical Engineering/Material Science

• Skills:

- Familiar with device fabrication and characterization

- Low temperature quantum transport measurements under various extreme external biases including but not limited to magnetic field, electric field, and pressure

• Experience: Experience in handling cryostats and related equipment is a must.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Ariando with the main responsibility to perform experimental studies on the doping evolution of band structures and superconducting observables in the infinite-layer nickelates using various methods based on quantum transport measurements.

Qualifications/Requirements

• Qualifications / Discipline: PhD in Physics/Electrical Engineering/Material Science

• Skills:

- Familiar with device fabrication and characterization

- Low temperature quantum transport measurements under various extreme external biases including but not limited to magnetic field, electric field, and pressure

• Experience: Experience in handling cryostats and related equipment is a must.

Position Summary:

We are seeking a highly motivated and dedicated Scientist/ Postdoctoral Researcher to join our dynamic research team at Dave Wee’s Lab. Our lab focuses on advancing the field of RNA therapeutics, with a strong emphasis on translational research aimed at clinical applications, while also fostering foundational discoveries in the delivery of RNA therapeutics. Our core technology platforms include rational design of antisense oligonucleotides and the development of innovative in vitro and in vivo methods for real-time and high-throughput functional delivery of RNA therapeutics.

Key Responsibilities:

• Research Excellence: Conduct cutting-edge research in the field of RNA therapeutics, with a primary focus on the rational design of antisense oligonucleotides and innovative strategies for RNA therapeutics delivery.
• Experimental Design and Execution: Plan and execute experiments to investigate the efficacy, safety, and mechanisms of RNA therapeutics in cellular and animal models. Utilize state-of-the-art techniques to achieve research goals.
• Data Analysis: Analyze experimental data, interpret results, and draw meaningful conclusions. Present findings at lab meetings, conferences, and in scientific publications.
• Collaboration: Collaborate closely with other lab members, including graduate students and faculty, to drive interdisciplinary research projects and contribute to a vibrant scientific community.
• Technology Development: Contribute to the development and optimization of our core technology platforms for antisense oligonucleotide design and in vitro/in vivo real-time delivery assays.
• Translational Focus: Engage in research activities that have direct implications for the clinical application of RNA therapeutics, actively participating in discussions related to translational strategies.
• Mentoring: Provide mentorship and guidance to junior lab members, including graduate students and research assistants, as needed.

Qualifications:

• Ph.D. in a relevant field of Molecular Biology, Biochemistry, Pharmacology, or a related discipline
• A good background in RNA biology, nucleic acid therapeutics, or related areas.
• Proficiency in molecular biology techniques, cell culture, and animal models. Mouse and colony management experience is a strong advantage.
• Experience with antisense oligonucleotide and nucleic acid delivery technologies is a significant advantage.
• Proven track record of research productivity, including publications in reputable peer-reviewed journals.
• Excellent communication skills, both written and oral, and the ability to work collaboratively in a team-oriented environment.

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 Bachelor or Master 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

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

The Institute for Environment and Sustainability (IES) at the Lee Kwan Yew School of Public Policy has openings for exciting, cutting edge, and problem focused Senior Research Fellow positions in public policy and/or global affairs. We are looking for candidates whose research focuses on specific topics such as climate change, biodiversity, sustainable livelihoods, water and oceans, and who are familiar with sociological, historical, and rational choice institutionalism, path dependency analysis, policy mixes, and policy design. We are also seeking candidates who are experts in with global and transnational environmental governance intuitions and processes, including policy innovations. Successful applicants will contribute to IES mission to advance “fit for purpose policy analysis”, and its emphasis on policy design capacity building and policy learning.

Successful applicants will contribute to IES’ burgeoning Climate Policy Design Lab and/or its Center for Water Policy The candidate will lead policy-relevant research projects, take responsibility for project and grant management, and contribute to stakeholder liaison and outreach of the Institute.. All candidates should have a strong willingness to contribute to IES’s mission and to engage with new topics and research tools.

Responsibilities:

• Design, implement and lead research projects under IES’s various research programmes
• Produce high quality research papers on topics related to IES’s core research themes suitable for publication in high-tier academic journals
• Laad the effort to grant and institute-level reporting requirements and funding proposals/applications
• Provide guidance to junior researchers
• Provide support for IES’s events and outreach activities
• Engage with policy and research communities in Singapore, Asia, and around the world
• As environmental problem solving requires integrating a diversity of knowledge and research, we welcome applicants who specialize in either qualitative or quantitative analysis.

Requirements

• PhD in Public Policy, Political Science, Global Affairs, Environmental Policy or a related field.
• A minimum of 6 years of experience in the field
• Excellent analytical skills with knowledge of: anticipatory policy design and practice, including path dependency analysis
• Preference for those with good and relevant publication records
• Excellent verbal and written English
• Good time management skills and ability to multi-task effectively

Daughters Of Tomorrow Limited

Registered as a charity under the Charities Act of Singapore, Daughters Of Tomorrow complements and supports existing training and workforce-related agencies by connecting volunteers and community resources to enable each woman on an individual level. By deep-diving into the practical day-to-day constraints of these women, we offer hand-holding and individual coaching to help each woman reach regular and sustained employment.
Our beneficiaries are women aged 18 to 68 from low-income families (living on less than $800 per capita per month), mostly living in government-subsidized rental flats, and facing multiple stressors in their families. Through sustained employment, women in our employment bridging program regain confidence in themselves and gain a social support network that helps them through their difficult times.

Research Executive (Social Mobility Programme)

About the Role

The SMP Executive will support the Research, Monitoring and Evaluation team to execute a funded research project - specifically the Social Mobility Programme, an exploratory research programme aiming to explore what interventions can better encourage women to increase stability and create improvements in their lives.

This role will report to the Research, Monitoring and Evaluation Manager and work closely with the SMP Research consultant, and coordinate with other programme functions, including Programme Development & Incubation, Community Partnerships & Programmes, Employment Bridging & Social Mobility, and Volunteer Management. The role will also involve participating in an organisation-wide bi-weekly meeting in person.

Responsibilities

Research - Social Mobility Programme

• Support the research team in recruiting for the programme, including identifying potential women who will be eligible for the research, organising recruitment drives, calling eligible women to share about the programme.
• Assist in consent taking when onboarding women into the programme as research participants
• Track the dates of intervention for participants and alert team on the follow-up needed
• Coordinate the timing and location for intervention, check-ins and interviews with participants
• Administer and track the disbursement of incentives to research participants on excel
• Conduct interviews and check-ins with women at a venue that may not be the office
• Take notes at research team discussions
• Check research data that have been keyed in to ensure no errors
• Ensure proper organisation of research documents in soft and hard copies
• Assist in preparation of research reports and presentations to stakeholders
• Support other future research studies and/or advocacy in line with the organisation’s mission and vision

Qualifications

• Bachelor's degree with at least 2 years of research operations experience, preferably with social services or non-profit organisations
• Singaporean or PR

Preferred Competencies & Skills

• Good administrative and organisational skills
• Strong interpersonal skills and cross-cultural awareness
• Team-player and willingness to collaborate
• Quick to take initiative when needed
• Familiarity with Singapore’s social safety nets and policies
• Detail-oriented, conscientious and responsible with data
• Strong written and spoken communication skills
• Ability to speak one or more of the local languages

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 WEI Jiangbo on Investigating the mechanism and functional relevance of RNA modification in regulating chromatin state and gene expression in human diseases under a project on Crosstalk between epitranscriptomics and other cellular pathways in gene regulation.

The main responsibilities of the position include:

1. Carry out cell biology-related experiments as necessary.
2. Conduct basic bioinformatics analysis for the candidate's project, as well as for the projects of other trainees in the laboratory, under the instruction of PI.
3. Provide assistance and support to junior PhD students in their research projects.
4. Participate in group meetings and seminars.
5. Report duty to PI.

Qualifications

• Qualifications / Discipline: Biochemistry and Molecular Biology or related disciplines.
• Skills:

Bench skills associated with biochemistry and molecular biology, and cell biology, including but not limited to molecular cloning, immunoblots, RT-qPCR, cell culture, cell transfection, gel electrophoresis, immunofluorescence imaging, genetic cloning, CRISPR, etc

• Experience:

Hold a PhD degree or expected to be graduated soon in Biochemistry and Molecular Biology or related disciplines. Have published (or at least submitted) peer-reviewed papers as the first author in high-impact journals.

The Antimicrobial Biologics Laboratory in the A*STAR Infectious Diseases Labs is looking for a highly self-motivated individual to join us as a Scientist. Our mission is to develop the next generation of vaccines and biologics-based therapeutics to defend against emerging infectious disease threats to Singapore and to the world.

We are looking in particular for individuals skilled in development of biological assay tools, including virus and pseudovirus genetic manipulation, molecular biology including advanced PCR techniques, and cell reporter assays.

Our lab is focused on novel methods of antibody discovery against difficult targets including complex pathogens and membrane-bound receptors. We utilize such microfluidic technologies and function-based bioassays for discovery of functional monoclonal antibodies and apply reverse vaccinology to identify critical vaccine epitopes. Solutions developed will be applied to the fields of infectious disease and antimicrobial resistance.

We are looking to fill this position by Dec 2023.

Job Requirements:

• PhD in Life Sciences/Biomedical Sciences/Biological Sciences or related fields with minimum 1 year of experience
• Experience in a laboratory environment and strong wet lab technique
• Excellent organizational and skills and attention to details
• Team player with strong interpersonal skills
• Highly motivated and a passion for research
• Adaptable to a diverse and cross-disciplinary environment, because we use a wide range of techniques to achieve our research outcomes
• Expertise with viral or bacterial molecular biology preferable
• Expertise with antibody or vaccine biology preferable

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 Institute for Functional Intelligent Materials (I-FIM) is the world’s first institute dedicated to the design, synthesis, and application of Functional Intelligent Materials (FIMs). Its global vision is to create a platform to develop FIMs with predetermined properties and autonomous, dynamic functionalities which can respond to changing environmental conditions. I-FIM will then investigate the use of such materials for smart applications in various sectors of technology.

Our outstanding researchers and excellent facilities create an energetic environment for ground-breaking science and world-class training. We are hosted by the National University of Singapore, a globally leading research university, empowering multidisciplinary research that spans cutting-edge approaches from the biological, computational, physiochemical and engineering sciences.

I-FIM has an opening for Visiting Research Associate Professor for outstanding candidates to expand our current faculty to complement existing strengths and seed new strategic directions.

Job Requirements

The Institute for Functional Intelligent Materials (I-FIM) is seeking candidate with the following experiences and qualifications:

• PhD in Physics
• At least 5 years academic experience in quantum 2D materials and technology
• Ability to develop semiconductor devices by leveraging 2D heterostructures and specialized synthesis methods for single crystal 2D materials
• Ability to forge partnership with I-FIM to support international collaboration research in quantum technology and joint application of international collaborative research grants
• Distinguished publication records

Admin Executive & Receptionist

ㅤEmbark on a meaningful career to make a real difference in the lives of children!

ㅤScience Studios is a leading education centre specialising in the teaching of primary school science through engaging experiments and excellent printed materials. Learning at Science Studios is also supplemented by, and enhanced through, proprietary online resources.

ㅤWe believe children should enjoy learning in order to achieve better grades. We go the extra mile to carefully design, prepare, and deliver each lesson so that students are engaged and have fun learning. For many students, coming to Science Studios is one of the highlights of their week! If you want a positive work environment where you can make a real difference, this is the right place for you!

ㅤWe currently have 3 branches across Singapore: West (Bukit Timah Plaza), Central (Balmoral Plaza) and East (Eastgate at Katong). Do let us know if you prefer to work at one of the locations.

Job Description:

• Communicate with customers regarding SS programmes, fees, replacement classes, etc.

• Prepare apparatus for experiments. This includes purchasing and maintaining inventory.

• Mark quizzes and monitor students’ progress to help them achieve better grades.

Requirements

+ Passionate about enriching children's lives through effective education.

+ Maintain high standards with a strong attention to detail. Thorough and accurate when accomplishing assigned tasks.

+ Able to work one and a half weekend days (Sunday from 12 noon, and Saturday).

[2 weekdays, including Fridays, will be rest days. You’ll be able to avoid weekend crowds on your rest days. Furthermore, there is no need to work on most weekends in June and December.]