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 Li Qianxiao on machine learning theory and applications.

The main responsibilities of the position include:

• Conduct cutting edge research in machine learning theory and algorithm research
• Publish papers in high impact avenues

Qualifications

• Qualifications / Discipline: PhD in Mathematics, Computer Science or related fields
• Skills: Knowledge in some/most of these areas: machine learning theory and algorithms, sequence modelling techniques, deep learning, scientific computing
• Experience: Strong research track record

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 Associate Professor Zhigang Yao on a project titled “Single Particle Cryo-Electron Microscopy: Reconstruction and Uncertainty Quantification”.

The main responsibilities of the position include:
• Collaborating with the research team to develop and apply neural network methods and manifold fitting theories for CryoEM 3D reconstruction.
• Conducting large-scale numerical experiments.
• Assisting with the preparation of research papers and presentations.

Qualifications

Qualifications / Discipline:
• A Bachelor degree in Mathematics, Statistics, or a related discipline.
• Solid foundation in mathematical concepts.

Skills:
• Proficiency in coding and programming (e.g., Python, MATLAB).
• Knowledge of neural networks and machine learning is advantageous.
• Strong problem-solving and analytical thinking abilities.

Experience:
• Experience with numerical methods or data analysis is preferred.
• Familiarity with manifold fitting theories is a plus.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic impact. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistics tests.

Job Requirements

The research fellow should have at least 3 years relevant experience in the following two areas:
• 3D concrete printing;
• Conducting laboratory ballistic tests.

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 CRISPR and Genome editing Lab led by Asst. Prof. HU Chunyi is a new research group in the Department of Biological Sciences at National University of Singapore. We are identifying and developing new CRISPR-Cas systems and genome editing tools for precision medicine.

We are actively seeking one highly motivated Post-Doctoral Fellow (Research Fellow) to join our efforts and lead projects in researching and developing novel CRISPR-Cas systems and applications based on the new systems.

Applicants should include a detailed cover letter and CV that include your (i) qualifications (ii) research interests (iii) research experience (iv). The position is available in March 2025.

Qualifications

Ph.D. in one of the disciplines: Biochemistry, Molecular Biology, Microbiology, Biophysics (Structural Biology), Bioinformatics or related fields.

Skills:

• With good publication track. At least one research article published in top journal (IF>10) as the first author.
• Excellent written and interpersonal communication skills and able to work well in an interdisciplinary team.
• Highly motivated and independent.
• Organized, dedicated and reliable.
• Critical thinking and scientific achievement in research, exemplified by publications, conference presentations or patents.

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

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/She will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

• Possess a PhD degree in a relevant field, with experience in the following areas:
• 3D concrete printing;
• Laboratory ballistic tests;
• Design of blast tests for concrete specimens;
• FE simulations of blast loading on concrete structures.
• Strong written and spoken communications.
• Open to fixed-term contract.

The Centre for Asian Legal Studies (CALS) at the Faculty of Law, National University of Singapore, is inviting applications from suitable candidates in the field of Asian legal studies to carry out research relevant to our programmes and objectives and to help with the work of the centre. For information about CALS, please visit http://law.nus.edu.sg/cals/.

CALS values scholarship employing a wide range of methodologies (doctrinal, empirical, theoretical, comparative, etc.) and in all fields of law relating to Asia. Subject areas of particular interest are comparative public law in Asia; aspects of law in China/Greater China; law and religion in Asia; international law in Asia; and comparisons of common and civil law jurisdictions or two or more civil law jurisdictions in Asia. Applicants with quantitative backgrounds in empirical research are also encouraged to apply.

DUTIES

• Subject to the standard NUS terms as to annual leave, appointed candidates will be expected to be in residence throughout the term of their appointments.
• An appointee will be expected to develop a research agenda related to or adjacent to one of the above themes, including undertaking substantial research projects leading to publication during the term of the appointment. Such research may include, but is not limited to, the writing of articles for publication in refereed journals, contributing to book chapters in edited collections, and preparing a monograph or other book for publication.
• An appointee will also be expected to assist in other CALS research projects and initiatives as assigned by the Centre Director.
• Appointees will be required to present their ongoing research, and to participate in and contribute to CALS events.

REQUIREMENTS

1. An ideal candidate would be of exceptional calibre, have attained a Masters degree in a relevant area of law.

For appointment as a Research Associate, the successful applicant must hold at least a Master’s degree with at least 2 years’ relevant work experience, and good knowledge, skills and expertise in Asian legal studies.

2. The principal selection criterion will be the applicant’s potential for excellence in research. Existing research work in CALS-related areas will be considered favourably. The applicant should submit a research plan proposal for consideration.

3. The candidate should be exceptionally organized and have an eye for detail. In addition to scholarship, which is a high priority for the position, there will also be administrative responsibilities related to the work of the centre. A strong command of English is required.

APPLICATION PROCEDURE

Interested applicants are invited to apply and submit their applications directly at our NUS Career Portal.

They must include:

• a cover letter explaining their interest in the position and their proposed research agenda;
• a curriculum vitae;
• a list of publications, if any;
• a writing sample;
• academic transcripts of all undergraduate and graduate studies (if studying for a current degree, please include a list of current courses);
• the names and contact details of at least two referees who may be contacted for a reference;
• a statement detailing the research plans for the next one to two years.

SUBMISSION OF APPLICATION MATERIALS

Interested applicants are invited to apply and submit their applications

CLOSING DATE

The closing date for the receipt of applications and references is 29 January 2025. Late applications cannot be considered.

What We Do

LSEG is a leading global financial markets infrastructure and data provider that operates connected businesses to serve customers across the entire financial markets value chain.

With capabilities in data, indices and analytics, capital formation, trade execution, clearing and risk management, we operate at the heart of the world’s financial ecosystem and enable the sustainable growth and stability of our customers and their communities.

Together, our five business divisions – Data and Analytics, FTSE Russell, Risk Intelligence, Capital Markets and Post Trade – offer customers seamless access to global financial markets, across the trading lifecycle.

LSEG is headquartered in London and has a major presence throughout Europe, the Americas, Asia Pacific and emerging markets.

Working in the World Check Risk Screening product, the Lead Research Analyst is required to maintain accurate information currency to support the growth of LSEG's Content business across the region.

Role summary

As a Lead Research Analyst, you will conduct in-depth research on breaking news in mainland China, Hong Kong and Taiwan, regarding specific Anti-Money Laundering/Combating the Financing of Terrorism (AML/CFT) related issues. We focus on maintaining an extensive list of Politically exposed persons (PEP), State owned & invested enterprises (SOE/SIE), Sanctions ownership information, etc.

Daily, you will research and extract data from extensive sources from public domain, ensure accuracy and quality of findings by aligning with policies and applicable laws.

What you'll be doing:

• Strong analysing, capturing the right intelligent information and summarizing in a timely and accurate manner.
• Strong adherence research guidelines following strict requirements to ensure product content and quality.
• Provide content support to clients on daily basis and work closely with team members, client and country researcher across offices to support related ad-hoc projects.
• Work independently in handling individual and team assignment and tasks.

Role requirements:

• Native or full professional language proficiency in Chinese as well as English.
• Good English comprehension and writing skills.
• Preferably at least 2 years' related work experience in research and compliance.
• Strong analytical skills especially with excellent attention to details and critical thinking to analyse and resolve research related issues.
• Strong organization and interpersonal skills.
• Enjoy reading news, following current events as well as good knowledge on official and credible media sources.
• Good domain knowledge of local naming conventions including characteristics of personal names, salutations and titles.
• Passionate about research work and knowledge pertaining to mainland China, Hong Kong and Taiwan, political structure and governance at all levels, sanctions, law enforcement and regulatory enforcement bodies and relevant national laws concerning the AML/CFT regime is an advantage.
• Good understanding of the prevalent financial crimes in mainland China, Hong Kong and Taiwan, based on guidance and reports from the Financial Action Task Force (FATF), the Asia/Pacific Group on Money Laundering (APG), and other relevant sources.
• Exhibit excellent professionalism - self-motivated, can-do attitude, innovative thinking, strive for efficiency.
• Leading, managing and prioritizing multiple tasks and activities simultaneously in meeting tight datelines and work effectively

Education Qualification/Certifications

• Bachelor’s degree or equivalent experience preferred in International Relations, Political Science, Security Studies, History, Journalism, Linguistics/Languages, or other Humanities fields. Outstanding graduates in other fields or those with validated experience will be considered.
• AML related certifications will be prioritised, if equally qualified.

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

This project aims at studying various threats in software defined networks (SDN) and developing security solutions for detecting anomalies and mitigation.

The Research Assistant (RA) will be responsible to assist in developing techniques such as AI/machine learning/deep learning , to model the normal behaviours and detect anomalies in SDN.

The work involves experimentation with a testbed and proof-of-concept demonstrations for use-cases. The work and findings will lead to top-tier publications, invention disclosures and proof-of-concept demonstrations.

Job Requirements

• A Masters or Bachelors degree in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in areas - network security, software defined networking, AI/machine learning/deep learning.
• Interests and skill in research and development.
• Software skill for testbed Experimentation and proof-of-concept demonstrations.
• 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 Singapore Nuclear Research and Safety Initiative (SNRSI), a university-level research institute at NUS established in 2014, is committed to excellence in nuclear safety research. Within SNRSI, the Radionuclide Dispersion and Dose Assessment team specialises in modelling the migration and impact of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is dedicated to advancing the academic community while tackling real-world challenges faced by government agencies and stakeholders.

With several positions open for Research Assistant/Research Associate, we welcome motivated candidates to join us – an excellent opportunity to collaborate with colleagues from world-leading universities and develop essential skills in the exciting world of modelling and cutting-edge technologies, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths.

• Radionuclide dispersion modelling

The migration of radionuclides, in the air or water bodies (both surface and underground) will be modelled using either community dispersion models or in-house-developed codes. The aim is to enhance our understanding of how radionuclides are transported and dispersed in the environment, providing a robust foundation for further impact or consequence assessment.

• Radiological impact and dose assessment

Mathematical models or empirical approaches are employed or developed to quantitatively analyse radionuclide pathways. The radiation exposure doses, potential contamination of food or water sources are subsequently estimated. The goal is to provide reliable and practical references for emergency planning or mitigation measure implementation.

Qualifications

• A degree or higher qualification in a relevant field, such as physics, mathematics, environmental sciences, and computer science, etc.
• A strong understanding of fundamental physics, mathematics, and statistics.
• Proficient in Python programming. Having experience in other coding languages, such as C/C++, Fortran, MATLAB, or Linux shell scripting, is a plus.
• Experience with modelling using tools/models such as FLUENT/OpenFOAM, Deflt3D, ROMS, WRF, HYSPLIT, or RODOS is considered an advantage.

Duration: 1 year contract

Location: Caldecott

Responsibilities

To assist in research work. Job duties include (not limited to):

• Conduct literature review
• Collect data and manage database
• Analyze data and report findings
• Provide administrative support

Requirements

• Bachelor’s degree in Psychology/ related social science discipline
• Experience in quantitative research (e.g., thesis using quantitative methods)
• Knowledge in R or Python is a plus
• Knowledge in Tableau or Power BI is a plus
• Strong analytical and critical thinking skills
• Good communication and interpersonal skills
• Attention to detail and strong organizational skills

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://sg.go.persolkelly.com/job/apply/10899

We regret to inform 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 affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant for Saw Swee Hock School of Public Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to model the impact and cost-effectiveness of contact-transmissible infectious diseases. This role offers the opportunity to contribute to cutting-edge research, collaborate with a team of experts, and work on other infectious disease analyses.

Job scope:
• To undertake high-quality research, including contributing to drafting major grant proposals and/or leading in drafting small grant proposals;
• To develop and extend mathematical and economic models of contact-transmissible infectious diseases.
• To support ethics applications;
• To contribute to peer-reviewed publications and other outputs, including as lead author;
• To collaborate with modellers, economists, and epidemiologists at NUS and other institutions.
• Contribute to drafting grant proposals and co-authoring publications.
• To review the latest research on contact-transmissible infectious diseases regularly.
• To disseminate research findings through presentations at international conferences and meetings with key partners (e.g., WHO).
• To contribute to the broader research community through journal and grant reviews.
• To participate in mandatory NUS training and keep abreast of advancements in research methods.

Requirements:
• Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science.
• Experience with quantitative research, preferably related to infectious disease modelling.
• Strong analytical and data management skills using electronic medical records, clinical trials, and observational data.
• Experience with statistical software (e.g., R) and programming languages (e.g., R, C/C++, Python).
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively within a team.
• Strong organizational skills and time management.

The following knowledge and experience would be advantageous:
• Experience contributing to research grant applications.
• Experience with teaching and assessment (desirable but not essential).
• Experience with epidemiological modelling of infectious diseases (especially sexually transmitted diseases).
• Experience with data analysis using statistical inference techniques.
• Experience with health economic evaluations.
• Experience with parallel and/or high-performance computing.

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Interested applicants are invited to apply directly at our NUS career portal and submit the following documents by 15 Feb 2025:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

For further enquiries, please contact Dr Kiesha Prem ([email protected]).

Please note that only shortlisted candidates will be contacted.

About Chicago Global Capital

Chicago Global is a data-driven investment management firm, which run timeless investment strategies powered by advanced technology.

Our investment philosophy is deeply rooted in the University of Chicago’s heritage in finance and economics, where much of the foundational work in these fields was conducted.

By benefitting from advances in machine learning to embrace the speed and complexity of financial information, we can harness and distil market-moving data into investment intelligence.

We engineer portfolios that learn and adapt faster than humans using supermassive datasets that are distilled into a set of well-documented strategies, relying on inference to detect phase changes and inflection points in every corner of the world.

The Role

As the Investment Research Analyst you will work closely with the CG investment team, uncovering investment opportunities using the tools provided within our framework, with a focus on Equities & Derivatives across global markets.

Key Responsibilities:

Execution & Trading:

• Execute day-to-day trading activities for the company's investment funds, ensuring seamless interaction with Prime Brokers and Fund Administrators.
• Monitor market conditions and execute trades in accordance with established trading strategies and risk parameters.

Strategy Development & Implementation:

• Test, implement, and scale new and existing quantitative investment strategies across various asset classes and portfolios.

Financial Modeling & Analysis:

• Establish and maintain robust financial models to assess portfolio risk, evaluate investment performance, and conduct scenario analysis.
• Analyze financial data, identify market trends, and generate actionable insights to inform investment decisions.

Research & Development:

• Conduct in-depth research on cutting-edge quantitative finance research published in academic and industry journals.
• Stay abreast of the latest advancements in quantitative trading techniques, machine learning, and artificial intelligence.
• Assist in the preparation of monthly research reports and develop concise research digests for internal dissemination.

Performance Monitoring & Reporting:

• Calculate and update performance reports for investment funds and portfolios, including key performance indicators (KPIs) and risk metrics.
• Prepare insightful presentations and reports to communicate investment performance and risk to senior management.

Regulatory & Compliance:

• Assist with the preparation and submission of regulatory filings and compliance reports.

Business Operations:

• Assist with day-to-day business operations as may be necessary.

Qualifications:

· Master’s degree

· Experience 5 to 8 years

Job Description

We are looking for a highly-motivated research scientist to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence.

Successful candidates will have the opportunity to work with a world-class interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research scientist will also work closely with industry partners and interact with them to understand their real-world needs. The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in cybersecurity domain

Job Requirement

• PhD degree in Computer Science, Computer Engineering, Information Technology or related fields, Knowledge or experience in cyber security, network security, system security using Artificial Intelligence
• Knowledge or experience in cybersecurity, network security, or system security using AI
• 2-3 years of working experience in related research areas is a plus
• Publications in top-tier security venues (IEEE S&P, NDSS, USENIX Security, ACM CCS) are expected
• Proficient with DL programing frameworks in Python
• Strong interest in AI for Cybersecurity
• Ability to work independently, as well as in teams - highly desired
• Ability and willingness to learn and adapt - highly desired
• Good team player with both research and engineering ethics
• Good interpersonal skills and communication skills for proposals, reports, and publications

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.

A Research Officer position is immediately available at the Stem Cells and Diabetes Laboratory. Dr Adrian Teo's laboratory is interested in leveraging on stem cell technology to study mechanisms underlying diabetes and metabolic diseases. Reference: www.adrianteolab.com.

Qualifications / Requirements:

• Degree in Biological Science and Life Science disciplines or equivalent
• Deep commitment and interest in research, demonstrated from previous research experience
• Minimum 6 months prior research experience in the Biomedical field
• Experience with mammalian cell culture and molecular biology techniques
• Experience with animal work and surgical techniques
• Experience with mammalian stem cell work will be valued
• Excellent organizational and interpersonal skills
• Highly motivated, passion for science, committed to laboratory work and able to work flexible hours
• Ability to multitask, work independently and also as part of a team
• Excellent communication (verbal and written) and presentation skills
• Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, Mass Spectrometry and bioinformatics will be valued

Interested candidates are invited to send a brief cover letter detailing research motivation, curriculum vitae, and the names and email addresses of referees.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Gloryn Chia on developing cancer immunotherapies.

We are seeking a highly motivated Research Fellow with expertise in immunology or oncology to join our team. The successful candidate will work closely with clinicians and scientists to develop innovative platforms for identifying and validating novel immunotherapies, with a focus on studying the intricate interactions between T cells and cancer cells. This role will involve assessing and advancing therapeutic strategies, including vaccines targeting neoantigens and other novel antigens, to treat cancer and other human diseases.

The ideal candidate will independently design and execute experiments, troubleshoot technical challenges, interpret complex data, and deliver progress updates. This position offers an opportunity to contribute to cutting-edge research aimed at understanding fundamental immune mechanisms and translating these insights into cancer treatment. Passionate and driven individuals committed to advancing the field of immunotherapy are strongly encouraged to apply.

The main responsibilities of the position include:
Performing and designing experiments

Qualifications

• Qualifications / Discipline: PhD in Immunology, Cell Biology, or a related field, with a demonstrated track record of high-quality publications in peer-reviewed journals.

• Skills: Cell culture, molecular cloning, and animal studies (including mouse handling and experimentation), among other relevant laboratory techniques.

• Experience: In vivo and in vitro research experience

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

An exciting opportunity has arisen for a highly motivated Senior/Research Fellow to join the Centre for Holistic Initiatives (CHILD) for Learning and Development, Yong Loo Lin School of Medicine, National University of Singapore. CHILD brings together experts in the field of translational research, child health and development, and implementation science to accelerate the use of evidence in policy and practice and give every child the best start in life.

The successful candidate will support the Centre by i) conducting research projects aligned to the Centre’s strategy and key priorities, ii) preparing reports, publications and materials for funding bids, iii) providing supervision and mentorship to junior researchers, particularly in the area of mixed methods research, and iv) facilitating workshops and engagement activities.

Job Responsibilities

The successful candidate will:

• Work closely with the team leads, cross-disciplinary research teams and collaborators.
• Design, plan, undertake and deliver research and evaluation projects using a combination of methods – with a focus on mixed methods studies and related designs.
• Provide expert methodological advice in mixed methods to Centre staff and related inputs across Centre projects.
• Lead on writing for reports, peer-reviewed publications and grant proposals for a variety of audiences.
• Contribute and lead, where appropriate, research dissemination activities at internal and external meetings and conferences.
• Provide supervision and mentorship of research students, interns and research assistants, where required.
• Work closely with stakeholders from across the early childhood sector.

Qualifications

Qualifications: A PhD in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or a related discipline.

Experience: Candidates with experience in the following areas are encouraged to apply:

• Mixed methods applied research
• Implementation Science
• Behavioural or Social Sciences applied to child health/development
• Programme Evaluation
• Education/Health Services or Applied Research

Additional Requirements

The candidate should also possess:

• Experience in undertaking or leading independent research studies, as appropriate for career stage.
• A strong grounding in mixed methods and applied educational, behavioural or health research – broadly defined.
• Track record of publishing in peer-reviewed journals and presentations in international or national scientific conferences, commensurate with career stage.
• Excellent command of spoken and written English.
• A team player with an ability to work independently.
• Highly motivated, proactive, and goal-oriented
• Keen interest in the area of early child development and passion for research translation and communication will be advantageous.

Application

Please submit your application, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

The appointment title and salary grade will be commensurate with the candidates’ qualifications and experience. Interested applicants are invited to submit a cover letter and full CV via the NUS careers portal. Applicants can email [email protected] with any questions. Only shortlisted candidates will be contacted.

What Being Successful in the Role Looks Like: The successful candidate will work closely, collaboratively and competently as part of an interdisciplinary team within CHILD. They will have excellent writing, presentation, and project management skills. They can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up CHILD’s open and positive work culture.

About Us

About CHILD: The Centre for Holistic Initiatives for Learning and Development or CHILD was established under the umbrella of the NUS Yong Loo Lin School of Medicine (NUS Medicine) with the Lien Foundation. In collaboration with partners - the Centre for Evidence and Implementation (CEI) and A*STAR’s Singapore Institute for Clinical Sciences (SICS), CHILD brings together experts in the field of translational research, child development, and implementation science to help give children the best start to life.

Job Descriptions:

Using levitation, we aim to isolate and control physical systems with unprecedented precision. The rapidly evolving field of levitodynamics explores how such systems can be used as quantum sensors and for testing fundamental physics. Most current levitated systems are limited to small masses (nano/microgram) and rely on incoherent optical interactions, which scatter rather than reflect light.

By leveraging platforms such as diamagnetic, superconducting, and optical levitation, we aim to create ultra-precise quantum sensors and explore profound questions in physics, including quantum collapse mechanisms and quantum gravity.

The successful candidate will contribute to activities such as:

· Modeling the dynamics of levitated systems.

· Learning to operate advanced cryogenic systems.

· Designing, constructing, and characterizing optical systems.

· Exploring novel techniques to exceed the standard quantum limit using correlated spin systems.

Key Responsibilities:

· Modeling: simulate the dynamics of magnetically and optically levitated systems.

· Fabrication: Develop advanced materials and components for levitation systems.

· System Design: Build and test optical systems and feedback-control mechanisms.

· Research & Innovation: Investigate groundbreaking applications in quantum sensing and fundamental physics.

Job Requirements:

· Bachelor/Master degree in Physics, Applied Physics, Precision Instrumentation, or related fields.

· Strong motivation for multidisciplinary research in quantum technologies and fundamental physics.

· Experience in one or more of the following is highly preferred:

Superconductivity

Quantum sensing

Cryogenic systems

Feedback-control systems

Optical systems design

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.

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The labs mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Key Qualifications:

• Ph.D. with experienced individuals in a related field, with a research focus.
• Experience in any of the following areas:
  • Cancer Biology or Cancer Immunology
  • Single-cell sequencing and spatial-omics data
  • Computational structural biology and protein design
  • Developing generative AI models
  • Computer-aided drug discovery
• Exceptional analytical, technical, and problem-solving skills
• Ability to work independently and thrive in a dynamic team environment

We look forward to welcoming you to our team and driving forward groundbreaking research in brain tumor genomics.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Engineer to join our team, specializing in the hands-on experimentation and characterization of materials. The successful candidate will work closely with the research team to conduct materials characterization, perform electrochemical testing, and contribute to the development of innovative solutions for lithium battery recycling. This role requires a candidate with hands-on experience in material science techniques and electrochemical methods.
Key Responsibilities:

1. Perform experiments and characterization of materials using analytical techniques such as ICP, XRD, and FTIR.
2. Conduct electrochemical analysis, including cyclic voltammetry, LSV and other related techniques.
3. Prepare samples for testing and ensure proper calibration and maintenance of equipment.
4. Analyze and interpret experimental data, providing clear and concise reports to the research team.
5. Collaborate with cross-functional teams to ensure experimental objectives are achieved.
6. Maintain accurate records of experiments and uphold laboratory safety protocols.
7. Assist in troubleshooting and optimizing experimental procedures as needed.
8. Assist in lab procurement activities.

Qualifications

1. Bachelor’s or Master’s degree in Materials Science and Engineering, Chemical Engineering, or a related field.
2. Hands-on experience with material characterization techniques such as ICP, XRD, SEM and FTIR.
3. Proficiency in electrochemical methods is highly preferred.
4. Strong analytical and problem-solving skills with attention to detail.
5. Effective communication skills, both written and verbal, to document and present findings.
6. Ability to work independently as well as collaboratively within a team.
7. Knowledge of laboratory safety protocols and best practices.
8. Experience in data analysis and interpretation software (e.g., Origin).
9. Familiarity with additional characterization techniques is an added advantage.
10. Prior experience in an R&D or industrial laboratory setting.

Job Descriptions:

Using levitation, we aim to isolate and control physical systems with unprecedented precision. The rapidly evolving field of levitodynamics explores how such systems can be used as quantum sensors and for testing fundamental physics. Most current levitated systems are limited to small masses (nano/microgram) and rely on incoherent optical interactions, which scatter rather than reflect light.

By leveraging platforms such as diamagnetic, superconducting, and optical levitation, we aim to create ultra-precise quantum sensors and explore profound questions in physics, including quantum collapse mechanisms and quantum gravity.

The successful candidate will contribute to activities such as:

· Modeling the dynamics of levitated systems.

· Learning to operate advanced cryogenic systems.

· Designing, constructing, and characterizing optical systems.

· Exploring novel techniques to exceed the standard quantum limit using correlated spin systems.

Key Responsibilities:

· Modeling: simulate the dynamics of magnetically and optically levitated systems.

· Fabrication: Develop advanced materials and components for levitation systems.

· System Design: Build and test optical systems and feedback-control mechanisms.

· Research & Innovation: Investigate groundbreaking applications in quantum sensing and fundamental physics.

Job Requirements:

· Bachelor/Master degree in Physics, Applied Physics, Precision Instrumentation, or related fields.

· At least 5 years of relevant experience

· Strong motivation for multidisciplinary research in quantum technologies and fundamental physics.

· Experience in one or more of the following is highly preferred:

Superconductivity

Quantum sensing

Cryogenic systems

Feedback-control systems

Optical systems design

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

JOB DESCRIPTION

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. The ideal candidate need not specialise in all three aspects, but should be technically strong in at least one of these areas.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry.
• Expertise in T-cell engineering 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.
• Keen to learn

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.

The NeuroPhenomics Lab is dedicated to the profound exploration of brain tumor biology, focusing particularly on key driver mutations like IDH1 and IDH2. These mutations significantly contribute to the development of aggressive malignant gliomas by altering chromatin structure and genome methylation, thus influencing tumor evolution. Beyond this, our lab is committed to identifying other genetic alterations with potential clinical relevance.

We are currently seeking a Research Officer who is passionately interested in translational cancer research. The ideal candidate should have a robust background in biochemistry, with a preference for experience in protein engineering and antibody work.

Job Requirements:

• A Bachelor"s or Master"s degree in Biology, Biochemistry, or Biochemical Engineering.
• In-depth knowledge of PCR and molecular cloning.
• Experience with proteins and antibody engineering is preferred.
• Proficiency in wet lab techniques.
• Strong teamwork abilities; leadership experience is highly desirable.
• Ability to work independently with a proactive approach.
• A positive and eager attitude toward learning, coupled with responsibility and excellent organizational skills.
• Advanced skills in critical thinking, communication, and building interpersonal relationships.

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The lab"s mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Key Qualifications:

• Ph.D. with experienced individuals in a related field, with a research focus.
• Experience in any of the following areas:
  • Cancer Biology or Cancer Immunology
  • Single-cell sequencing and spatial-omics data
  • Computational structural biology and protein design
  • Developing generative AI models
  • Computer-aided drug discovery
• Exceptional analytical, technical, and problem-solving skills
• Ability to work independently and thrive in a dynamic team environment

We look forward to welcoming you to our team and driving forward groundbreaking research in brain tumor genomics.

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 Li Xinwei on optical condensed matter experiments under the project of “Quantum inspired protocols for light engineering of correlated materials.”

The main responsibilities of the position include:

1. Construct advanced laser-based optical systems

2. Conduct experimental research on ultrafast pump-probe spectroscopy experiments on exciton systems

3. Carry out numerical and analytical simulations on photonic crystal cavity structures

4. Publish scientific findings and present at conferences

5. Mentor junior students on research

Qualifications/Requirements

• Qualifications / Discipline: A Ph.D. degree in Physics or related areas.

• Skills:

(1) Optical pump-probe spectroscopy

(2) Nonlinear optical spectroscopy

(3) Experience with fabrication of light-matter coupled photonic structures

(4) Instrument development using standard lab-based programming languages

Responsibilities

• Conduct detailed data analysis and verification using MATLAB, ensuring precision and reliability in outputs.
• Assist in drafting academic papers and research documentation with high standards of accuracy and clarity.
• Demonstrate strong problem-solving skills by troubleshooting complex technical issues effectively.
• Interpret and apply mathematical equations related to advanced theoretical concepts, including those involving universal phenomena.
• Proactively engage in acquiring new knowledge, mastering unfamiliar theories, and applying new paradigms to research projects.
• Collaborate within a multidisciplinary team, contributing insights and ideas for innovative solutions.
• Ensure data confidentiality and maintain rigorous standards of privacy in handling sensitive research materials.
• Adapt to dynamic schedules and work requirements, meeting deadlines with meticulous attention to detail.

Requirements:

• Bachelor’s or Master’s degree in Mathematics or Physics from renowned institutions, with graduates from top-tier universities preferred.
• Proficiency in MATLAB, with strong statistical analysis and data interpretation capabilities.
• Prior research or academic experience is beneficial but not mandatory.
• Excellent communication skills, with the ability to articulate complex concepts clearly and effectively.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.

Email resume to [email protected]

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

Ref: QYXYV799