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.

Only shortlisted applicants will be notified.

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

The National University of Singapore invites applications for Research Assistant for “High-throughput culturomics study of human microbiota” in the Department of Biochemistry, Yong Loo Lin School of Medicine. The Department undertakes excellence in research and scholarship through intimate support of our faculty and staff in the NUS Medicine Translational Research Programmes (TRPs). Our scientific strengths and leadership is evidenced by Biochemistry being the academic home of 4 TRP Directors, and by stellar research scholarship in cancer, cardiovascular disease, digital medicine, healthy longevity, human potential, infectious disease, immunology, precision medicine and synthetic biology. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

We are seeking a skilled Research Assistant to support our advanced research in developing new methodologies utilising cutting-edge automation approach to unveil the complex connection between microbial population and human health. The successful candidate will primarily be responsible for sample preparation, single-cell isolation workflow optimization, and novel bacterial species characterisation. This role offers an excellent opportunity to work with state-of-the-art single-cell dispensing platform, develop expertise in high-output nanopore sequencing, and contribute to impactful scientific research.

Main Duties and Responsibilities

This role will suit an individual passionate about microbiology and omics study to understand host-microbes interactions. The RA will be able to:

1. conduct wet lab experiments;
2. Assist in the isolation, characterisation, and genomic analysis of bacterial samples;
3. Prepare research findings for publications, reports, and presentations;
4. Undertake the day-to-day running of the project and collaborate with team members in supporting lab operation;
5. Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks;
6. Conduct literature searches and analyse data, as well as assist in preparing both progress and final reports of the project;
7. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
8. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. At least Bachelor’s degree in Microbiology or a related field.
2. Prior experience in laboratory research, aerobic and anaerobic bacteria handling, or molecular genetics is highly preferred.
3. Proficiency in techniques in cell and molecular biology such as PCR, DNA/RNA extraction, sequencing, fluorescence microscopy, and cloning.
4. Strong data analysis skills and familiarity with microbial culturomics.
5. Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
6. Highly organised, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Assoc. Prof. Niranjan Nagarajan ([email protected]) and Dr. On Yue Yuan ([email protected]).

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations (if any) and full contacts of three (3) referees to this job portal.

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 Research Assistant for the Cardiovascular-Metabolic Diseases Translational Research Programme (CVMD TRP), Yong Loo Lin School of Medicine. CVMD TRP is a multidisciplinary team of scientists working towards mechanistic understanding of cardiovascular and metabolic diseases and development of novel therapeutic approaches. Appointment of the position will be on two-year contract with possible extension.

Job Description

We are looking for a research assistant with two main roles. The RA will assist with basic laboratory experiments including mouse phenotyping, protein biochemistry, molecular biology and cell culture in the laboratory of Dr. Roshni Singaraja in the CVDM TRP. At the same time, the RA will be working with CVMD TRP admin lead with a blend of administrative duties related to laboratory work and coordination of day-to-day operation at the bench.

Job Scope

Based on this broad job scope, we welcome applications from those with a certain level of exposure to lab-based research and awareness of the nature of administrative duties specified below. TRP will do due diligence to balance the workload between the two lines of duty accordingly and ensure work-life balance to the best of our abilities.

Responsibilities

1. Administrative Duties (CVMD TRP)

• Procurement of laboratory consumables
• Upkeep of instrument and consumables and other housekeeping matters
• Lab safety-related matters
• Assisting admin head with the organization and logistics of TRP-led events
• Other potential ad hoc duties by the TRP admin lead

Responsibilities

1. Research Duties (Singaraja lab)

• Biomedical experiments such as cell culture, PCR, western blot, immunohistochemical staining, etc.
• Mouse models and phenotyping
• Western immunoblotting and protein biochemistry (co-immunoprecipitation and affinity purification)
• Lab management

Qualifications

• Bachelors in Life Sciences with more than 2 years of work experience
• Excellent analytical, technical and problem-solving skills
• Experience in protein biochemistry
• Highly collaborative, and motivated to support the research team
• Excellent verbal and written communication skills in English
• Strong organizational skills and outstanding attention to detail

Responsibilities

• Prepare comprehensive reports and presentations on current and prospective investments, including valuation assessments and performance analysis.
• Oversee the preparation of Management Accounts and Financial Statements, ensuring compliance with statutory requirements both locally and globally.
• Provide support for investment activities, focusing on financial products such as public equities and real estate investments.
• Act as the main liaison with tax service providers to ensure compliance with jurisdiction-specific tax regulations, primarily in Singapore and the United States.
• Facilitate trade executions and maintain relationships with private and retail bankers for investment activities in key markets.
• Stay informed about financial markets and trends, with a strong understanding of private and public market dynamics.
• Undertake ad-hoc project management responsibilities to support the team’s operational and strategic goals.
• Collaborate with cross-functional teams to enhance analytical insights, improve reporting capabilities, and support decision-making processes.

Requirements:

• A minimum of 2 years of professional experience within the finance or investment industry, preferably in asset and wealth management.
• Hands-on experience with the U.S. stock and property markets, demonstrating strong market understanding.
• Advanced proficiency in Microsoft Office, particularly Excel and Word, for analytical and reporting purposes.
• Strong analytical acumen with excellent organizational, teamwork, and communication skills, alongside full fluency in English.

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: QWVWX9R9

Responsibilities

• Prepare comprehensive reports and presentations on current and prospective investments, including valuation assessments and performance analysis.
• Oversee the preparation of Management Accounts and Financial Statements, ensuring compliance with statutory requirements both locally and globally.
• Provide support for investment activities, focusing on financial products such as public equities and real estate investments.
• Act as the main liaison with tax service providers to ensure compliance with jurisdiction-specific tax regulations, primarily in Singapore and the United States.
• Facilitate trade executions and maintain relationships with private and retail bankers for investment activities in key markets.
• Stay informed about financial markets and trends, with a strong understanding of private and public market dynamics.
• Undertake ad-hoc project management responsibilities to support the team’s operational and strategic goals.
• Collaborate with cross-functional teams to enhance analytical insights, improve reporting capabilities, and support decision-making processes.

Requirements:

• A minimum of 2 years of professional experience within the finance or investment industry, preferably in asset and wealth management.
• Hands-on experience with the U.S. stock and property markets, demonstrating strong market understanding.
• Advanced proficiency in Microsoft Office, particularly Excel and Word, for analytical and reporting purposes.
• Strong analytical acumen with excellent organizational, teamwork, and communication skills, alongside full fluency in English.

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: QWVWX9R9

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on A*STAR LCERFI research project entitled “Methane Pyrolysis for Hydrogen and Carbon Nanotube Production via Novel Catalytic Membrane Reactor System”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.

• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

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 a Research Associate in the NUS Centre for International Law (CIL). This is a one-year contractual position offered in connection to CIL's expansion of its programme on international economic law and policy. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international economic law and policy.

The duties of the incumbent will involve:

• Assisting the Head of the International Economic Law and Policy programme in research in connection with the programme’s ongoing projects in international economic law, including CIL’s position as an official observer in UNCITRAL Working Group III, CIL’s ongoing work on international economic law and climate change, and its work on the evolution of the international architecture for economic regulation.
• Assisting with the development and organization of seminars and workshops organized by CIL, including the Singapore International Arbitration Academy.
• Conducting research and completing at least one publication for possible publication in a recognized journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in international economic law, e.g., trade, investment and other areas of international economic law broadly understood;
• Excellent analytical, research and writing skills;
• A high degree of self-motivation and strong organisational and computer skills.

Application Procedures

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents :

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests
• A detailed curriculum vitae (no more than three pages) setting out educational and work history
• University transcripts
• One sample of written work
• The names and details of two referees

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at [email protected]

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg

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 appointed Research Assistant will be part of the Asia Competitiveness Institute (ACI) research team, under ACI Director, Professor Paul Cheung, to work on a number of research projects related to Indonesia.

The candidates should have experience in policy analysis and are familiar with socio-economic development of Indonesia.

Qualifications

• Bachelor/Masters degree in Economics, Social Sciences, or equivalent
• Familiar with socioeconomic development of Indonesia
• Familiar with working on the large economic datasets for statistical analysis
• Demonstrate good organisational and analytical skills
• Excellent verbal and written English
• Candidate must be able to research information sources that are in Bahasa Indonesia
• Able to multitask and manage tight timelines
• Able to work in a team as well as independently. Must be highly self-motivated
• Able to commit to at least 1 year of service

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 Assistant / Research Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant / Research Engineer will be responsible for working closely with the Principal Investigator and lab members on topics of “Automation of Threat Detection in Security Operation Centers (SOCs)”. He/she should possess experience or interest in the following research areas:

· Security Information and Event Management (SIEM) system

· Large Language Models

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Good publication record: and
• Experience in research.

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

Job Title: Research Fellow in Spatial Epidemiology

Location: Singapore

The Saw Swee Hock School of Public Health at the National University of Singapore (NUS) seeks a highly motivated and skilled Research Fellow to join an interdisciplinary research project on surveillance for zoonotic and vector-borne diseases in changing environments (SENSOR Project). This project focusing on emerging diseases in Borneo and is conducted in collaboration with an international consortium of universities in Malaysia, Singapore and the UK. This position offers the opportunity to work on ground-breaking research projects in the broad areas of environmental change, infectious disease surveillance, spatial epidemiology, machine learning and global health.

Key responsibilities:

• Conduct high quality research in epidemiology, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches;
• Develop and implement statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data;
• Collaborate with multidisciplinary teams of researchers, including epidemiologists, biologists, environmental scientists and policy makers;
• Present research findings at national and international conferences and publish results in peer-reviewed scientific journals;
• Support design of field studies in collaboration with international partners;
• Assist in the supervision and mentoring of graduate students and junior researchers; and
• Contribute to grant proposals and progress reports for funding agencies.

Qualifications:

• A PhD in a relevant field such as epidemiology, geography, computer science or a related discipline;
• Strong background in any one of machine learning, infectious disease modelling, epidemiology, quantitative environmental science or ecology, remote sensing or a related field;
• Proficiency in programming languages such as R or Python;
• Experience with machine learning or statistical methods applied to public health and/ or environmental challenges;
• Interest in climate and environmental change and infectious disease dynamics;
• Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences;
• Demonstrated ability to work effectively in a multidisciplinary team and independently; and
• Track record of publications in peer-reviewed journals.

Review of applications will begin immediately and continue until the position is filled. The anticipated start date is February 2025, but this is negotiable. The initial appointment will be for one year, with the possibility of renewal based on performance.

NUS is an equal-opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, age, national origin, or disability.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

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 an enthusiastic PhD. candidate who can perform experiments (e. g., e-beam lithography, photo-lithography, top-down fabrication techniques, design/building optical characterization setups) and numerical simulations (e.g., FDTD, RCWA, and so on).

Qualifications

• Possess a Ph.D. Degree in either Electrical or Mechanical Engineering.
• Qualified experimental, simulations skills.
• Open to Fixed Term Contract

Job Description:

• Capable of optimizing molecular and cellular assays for characterization of genetically modified immune cells. These assays may include RNA extraction, real-time PCR, ELISA, western blotting, cytotoxicity assay, cell proliferation assays and cytokine measurement etc.,
• Multi-parametric immunophenotyping by flow cytometry techniques
• Good hands-on experience with PBMCs and cellular therapy products either through established protocols, or to optimize new protocols as seen necessary.
• Maintains accurate and detailed documentation of laboratory procedures and experiments.
• Oversee maintenance and operation of laboratory such as replenishing & triggering order of consumables, collection of waste materials, maintenance of laboratory equipment, etc.

Company Description:

Entropica Labs is a Singapore-based quantum computing software company creating the software layer to support fault-tolerant quantum error correction–the ability to actively remove errors from quantum computations and unlock the transformative applications of quantum computing. Entropica Labs empowers developers, researchers, and domain experts to accelerate the arrival and adoption of fault-tolerant quantum computing.

About the team:

Our team at Entropica Labs combines deep expertise in quantum computing, software engineering, quantum information, and advanced error correction methodologies to build essential tools for practical quantum error correction. If you are a creative thinker and problem solver passionate about tackling complex challenges, join us to shape the future of quantum computing.

For more information, visit https://entropicalabs.com/.

Job Requirements:

• Expertise in quantum error correction (Master level or equivalent experience).
• Industry experience preferred.
• Familiarity with quantum computing applications is a plus.

Key Responsibilities:

• Collaborate with the Quantum Error Correction (QEC) team to develop fault-tolerant quantum algorithms.
• Work with commercial and applications teams to identify relevant quantum computing use-cases.
• Build prototype solutions and assess potential quantum advantages.
• Working with the team to build, test, and benchmark different components of Entropica’s technology stack;
• Implementation and analysis of quantum computing and quantum error correction algorithms and schemes, methods, and protocols;
• Attendance at conferences and meetings, with possible overseas travel;
• Participation in customer and partner projects;
• Reading scientific literature and presenting complex ideas to the team;

Qualifications:

• Excellent English, written and spoken.
• Proven background in quantum error correction.
• Academic experience (Master level or beyond); industry experience is a bonus.
• Strong problem-solving skills and ability to collaborate across teams

How to Apply:

Interested candidates should submit a cover letter (including personal references, if possible), a resume, and a sample of relevant research work or publications.

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 Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on resolution of batch effects in antibody and microRNA profiling data for an esophageal squamous cell carcinoma (ESCC) project.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Familiarity with analysing omics datasets
• Understand the interplay between batch effects and missing values
• Knowledge of methods for resolving batch effects
• Ability to make robust analysis in the presence of batch effects

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• Next.js
• TypeScript
• MUI (Material-UI)
• D3.js

2) Backend:

• Node.js
• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

_________________________________________________________________

Applicants are required to complete the following as part of the screening process:

1) Clone and Optimize

-Clone this code sandbox (https://codesandbox.io/p/sandbox/react-usestate-update-nested-in-another-usestate-functional-update-r4lwq0?file=%2Fsrc%2FApp.js)

-Optimize the code for performance and readability.

2) Submit Solution:

-Provide the URL to your optimized solution.

-Include a detailed description of the optimizations made and the reasoning behind them.

GitHub Respository: Link to your GitHub profile showcasing relevant projects.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). 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 NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

Responsibilities

• Conduct research within assigned area of fixed income market coverage using information sources, including financial statements, earnings reports, published research, financial databases, corporate and management access
• Generate timely, and actionable bond investment ideas. Work with other members of the research team to evaluate a comprehensive range of bonds and bond funds
• Achieve and maintain a coverage list of bond issuers, and provide periodic research recommendations for bonds in the coverage list and newly issued bonds
• Communicate these investment ideas to the investing public and internal stakeholders through research reports, presentations, and other channels
• Contribute investment views and research in collaboration with the regional offices
• Contribute to the growth of the firm's fixed income business
• Undertake additional/ ad-hoc duties and projects assigned

Requirements

• Bachelor degree holder in a related discipline (accountancy, economic, finance or business administration), preferably with investment research experience
• Experience working with systems such as Bloomberg is desirable
• Good understanding of financial statements, bond mathematics, and macro drivers
• Demonstrated strong analytical skills, numerical capability, and attention to detail
• Excellent communication skills. Strong command of both spoken and written English. Mandarin speaking capability is a plus
• Demonstrated interest in and passion for investing
• Able to multi-task and meet constant deadlines

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

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 aim to develop advanced AI models for creating cardiac digital twins, i.e., personalized virtual heart models. We will employ the dataset (imaging, ECG, electronic medical records, etc) collected from patients, to accurately modelling the anatomy and simulate the function of patients' diseased hearts. These models, coupled with machine learning techniques, contribute to the identification of crucial mechanistic relationships and features that offer insights into the trajectory of a patient's heart condition. The research will delve into the intersection of AI and cardiac sciences, exploring novel approaches to revolutionize our understanding of the human heart. With the potential to impact medical treatments and technology advancements, it promises an exciting and important avenue for personalized medicine. We will collaborate with a multi-disciplinary team, including academics/ experts from NUS, University of Oxford, University of Southampton, Imperial College London, Fudan University, etc.

The selected Research Assistant will be required to:

• Collect, preprocess, and analyze clinical data.
• Develop neural surrogate model for efficient cardiac simulation.
• Write well-documented code for experiments, ensuring reproducibility and efficiency.
• Write and submit research articles to top-tier peer-reviewed journals and conferences.

Qualifications

• Possess a recognised bachelor’s degree in biomedical engineering, computer science, data science, applied statistics/ mathematics, or any-related field.
• Strong problem-solving abilities and learning capability.
• Proficiency in programming (Python, C++, etc)
• Strong written and spoken communication and comprehension and able to present results clearly.
• First-authored relative publication in top-tier journals and conferences are preferred.
• Being self-motivated and enthusiastic about AI for healthcare.
• Open to fixed-term contract.

Mathematics and Science Tutor

Working Days & Hours: Discuss During Interview
Working Location: Ho Chi Minh, Vietnam
Salary Range: $5000 (nego)

We are seeking dedicated Mathematics and Science Tutors to join our international educational team. The tutors will be based in Vietnam but may be required to travel in the region. These roles involve teaching mathematics and science across various levels, including Primary, Secondary, Junior College (JC), and International Baccalaureate Diploma (IB DP) programs. The ideal candidate will have a strong background in mathematics and/or science education, proven teaching skills, and the ability to adapt lessons to meet the needs of diverse student groups.

Job Responsibilities:

• Plan, prepare, and deliver engaging and effective math lessons that cater to the needs of students at Primary, Secondary, JC, and IB levels.
• Assess and evaluate students’ progress and provide timely feedback to help them improve.
• Develop and use instructional materials suitable for various educational stages and learning abilities.
• Maintain accurate records of students’ progress and development.
• Communicate regularly with parents and guardians regarding students’ progress and potential areas for improvement.
• Stay updated with the latest educational trends and methods in mathematics education.
• Encourage a positive learning environment that motivates and challenges students to excel in mathematics.
• Offer extra help with day-to-day and long-term assignments to ensure students meet course requirements.

Job Requirement:

• Bachelor’s Degree in Mathematics, Science or equivalent
• Relevent Experience in IB programs

Tan Jia Jun | REG No: R23112681

The Supreme HR Advisory Pte Ltd| EA No: 14C7279

Position Title: Compliance Processing Officer

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2600 - $3000 + AWS + VB
• Location: Near Clarke Quay MRT

Requirements:

• Diploma in Food Science & Technology, Chemistry and other science-related fields
• Preferably 1 year working experience
• Able to travel locally.

Summary:

This role is supporting the company’s compliance program and services, including Halal Conversion and Management, Training, and Inspection/Audits. These positions require a combination of independent project work, compliance monitoring, and client-facing activities. Responsibilities include performing periodic audits, investigations, and hands-on service delivery, while also contributing to service development through a mix of on-the-job learning and formal training.

Responsibilities:

• Prepare detailed audit and investigation reports that highlight areas of non-compliance and associated risks.
• Document all compliance activities using designated checklists and databases according to company policies and workflows.
• Conduct timely follow-ups with clients, close audits efficiently, and ensure findings are resolved.
• Perform compliance audits and monitor various Halal operations.
• Maintain and organize both electronic and hard copy files and records.
• Prepare and process documents for submission to relevant authorities, ensuring timeliness.
• Continuously engage and communicate with clients and authorities as necessary for applications.
• Monitor audit activity schedules and provide thorough follow-up, including reviews of client corrective actions.
• Provide administrative support and contribute to project committees.
• Communicate proactively with clients via phone, email, and face-to-face meetings to gather feedback and information.
• Undertake any other assignments and tasks as required.
• Any other assignments and tasks given

Chin Wai Loon Reg No: R24121618

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Department of Medicine, Yong Loo Lin School of Medicine. The Dept of Medicine at NUS is a very large research-intensive department and is dedicated to the advancement of human healthcare in Singapore first, but also beyond. More information on the department is available at https://medicine.nus.edu.sg/medi/. This Appointment will be made on a 1 year rolling contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator (Assoc. Professor Peter Goon) and other study team members to ensure the successful completion of their research studies (Virus-associated cancers with emphases on pre-cancer detection, host immunology, virology, and potential treatments, Skin cancers and drug reactions) on time. The RA’s principal role will be to work in general practices such as recruitment, data collection, laboratory experiments, data entry and analysis.

Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in hospital to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Oversee the general management of the project;
2. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
3. Undertake the day to day running of the project at the study site, e.g. Collaborate with team members at the study sites, laboratory experiments, recruitment, data collection at hospitals/participants’ homes;
4. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Bachelor degree in medicine or science-related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint;
4. have experiences in the medicine areas of research (if confidential, the nature of the research in general)

More Information

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Farah bte Ahmad Rosman @ [email protected]

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint