Role & Responsibilities

First-year Analyst role within the Research & Strategy team. Primary function is to support the fund’s Portfolio Managers. Key aspects of the role:

• Keeping abreast with currency, equity and fixed income trends and valuation and market moving events (including geopolitical events)
• Analysing economic data in all Asian and G10 markets to formulate trade ideas
• Econometric models and Quantitative statistical analysis are also utilized
• Regular interaction with external sell-side research and economists
• Python proficiency

1. Apply technical expertise in quantitative analysis, data mining, economics & financial markets knowledge to perform economic modelling and event studies using Python
2. Development and back-testing of systematic trading strategies across different asset classes (FX, Equities, Fixed Income) using statistics libraries from Python and in-house proprietary software
3. Design and implementation of algorithms and automated tools using Python for web-scraping, data cleaning, and data visualization purposes
4. Build new libraries for analytics by writing clean and maintainable code

Basic Qualifications

• Highly motivated self-starter who has an individual passion for financial markets
• Keen understanding of macroeconomic, fixed income, currency and equity markets
• Strong, confident communication and interaction skills
• On top of strong academic qualifications, quantitative finance qualifications or academic courses will be valued
• Prior fund management internship experience is preferred
• Besides strong Excel skills, Programming/Coding is REQUIRED (Python, C++) and able to use Bloomberg
• Fluency in Business Mandarin is a must

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

The main job directions include:

- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.

- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.

- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

Qualifications

Minimum Qualification

- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.

- Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.

- Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.

Preferred Qualifications

- Excellent problem analysis and solving skills, and passionate about solving challenging problems.

- Passionate about technology, good communication skills and teamwork spirit.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Institute for Functional Intelligent Materials (I-FIM) is seeking a researcher to investigate the application of scientific machine learning algorithms to develop an equation of state for dynamical systems out of equilibrium, with a focus on polymers under elongational flow. The role involves analysing large datasets from simulations and experiments to uncover patterns that traditional models may miss, aiming to enhance predictive capabilities for polymer behaviour. The work will be undertaken in collaboration with experts in algorithm development and experimental data collection and analysis. Additionally, the researcher will study the extension of developed framework to model multi-pendulum systems, exploring complex dynamics relevant to robotics and climate science. Findings will be disseminated through peer-reviewed journals, and the developed code will be made publicly available on GitHub.

Job Requirements

• Development of in the loop optimisation processes
• Ability to develop custom or apply state-of-the-art computer vision algorithms (CNN, AE, etc)
• Data cleaning, augmentation and dimension reduction
• Ability to work with common Python ML libraries (scikit-learn, tensorflow 1 & 2, pytorch), develop custom neural networks and implement classification and regression algorithms
• Interdisciplinary collaboration with researchers and scientists from different academic backgrounds
• Experience working in organic laboratories
• Knowledge of working with microfluidics platforms

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. The School of Computing 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 one or more research projects. He/she should possess experience or interest in the area of machine learning.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; 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

The National University of Singapore invites applications for Research Assistants to join our projects in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Our projects are primarily focused on exploring the role of neuroimaging in the clinic, facilitated by quantitative analysis including machine learning, with a focus on neurodegenerative diseases (e.g. Alzheimer's and Parkinson's disease), with a small focus on brain tumor imaging. The title of the current major project is <Development of a data-driven imaging biomarker for Alzheimer's disease>. The main objective of our ongoing research is to develop and validate data-driven imaging biomarkers to predict the prognosis of Alzheimer's disease dementia in elderly individuals by harmonizing established Alzheimer's disease research datasets and retrospective local institutional datasets.

The primary responsibilities of the Research Assistant will revolve around data management and administrative tasks, as described below:

Key Responsibilities

Database management and basic analysis:

- Download and integrate imaging and other non-imaging data into our research database.

- Perform basic neuroimaging processing and analysis using our existing R / Python pipeline. The role could extend to pipeline customization if the RA shows an interest and aptitude for image analysis work.

- The role could extend to basic statistical analysis and machine learning tasks using pre-built code, under the guidance of the PI and AI expert research staff, if the RA shows interest and aptitude for the above tasks.

Administrative tasks:

- Assist with ethical application processes for access to public datasets such as UK Biobank, ADNI, etc. and ensure compliance with institutional/university IRB procedures.

- Provide general administrative and secretarial support to the project, such as coordinating meetings, procurement, etc.

Assist in the preparation of scientific documents:

- Conduct literature searches, assist in the preparation of manuscripts, grant proposals/reports, and other scientific documents under the direct supervision of the PI.

Qualifications

Interested candidates should: (a) Have an undergraduate degree with good grades or a Master's degree in life sciences, engineering, or related fields; preferably, but not required, with some experience in dry lab or imaging research (b) Have basic programming skills in R and Python (ability to use code written by others under guidance) (c) Have fluent oral & written communication skill (d) Demonstrate the ability to work independently and as part of a team, and show investigative tendencies and attention to detail.

Compensation will be commensurate with the candidate's qualifications and experience. Only shortlisted candidates will be contacted.

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

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has an immediate vacancy in the area of regional sea level variability in the warming climate.

The ongoing Project “Understanding the low-frequency variability of coastal sea level in Southeast Asia using a regional ocean model and observations” has been funded by National Research Foundation until 31 July 2025. The successful candidate will be working with a multidisciplinary team of atmosphere and ocean scientists, and particularly be responsible for:

-running NEMO ocean model using past and projected forces provided by the atmospheric team;

-use data analysis and model simulations experiments to understand the mechanism of regional sea level variability driven by large scale atmosphere/oceanic processes.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following demonstrated knowledge, skills and experience:

• Understanding of regional sea level variability and large-scale atmosphere/ocean coupling;
• Understanding of mechanisms of ocean response to the climate change;
• Capability to set and run regional sensitivity experiments using NEMO ocean model;
• Capability to use data analysis methods for ocean dynamics research;
• Ability to work in multidisciplinary team of researchers, including ocean and atmosphere scientists;
• PhD in ocean sciences from a recognised University
• Track records in publications.

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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 Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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.

Compliance Processing Officer

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

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

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

Job Overview

We are looking for an experienced Data Science & Engineering expert to join our team and be responsible for data collection and preparation for large language models (LLMs). You will be responsible for sourcing high-quality data from various sources, managing external annotation teams, and working closely with the R&D team to ensure model training and optimization.

Key Responsibilities

Data Acquisition:

- Responsible for data collection for large language models, including:

- Sourcing ready-made data from public datasets, commercial data providers, etc.

- Developing data scraping tools to acquire data from the internet and other sources.

- Managing external annotation teams to ensure high-quality data annotation.

Data Preparation:

- Collaborate with the R&D team to define data annotation rules and quality standards.

- Review annotation results to ensure data quality meets model training requirements.

- Explore industry-leading data production methods to continually optimize data acquisition and preparation processes.

Data Compliance:

- Collaborate with the legal team to handle data compliance issues, ensuring data acquisition and usage comply with relevant laws and regulations.

Team Management:

- Responsible for recruitment and management of internal data products or operations teams.

Qualifications

Minimum Qualifications

1. Experience in traditional AI data collection or data annotation areas.

2. Excellent communication skills, strong initiative, excellent product and business integration capabilities, strong execution and results-oriented.

3. Proven experience in leading overseas teams.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Compliance Processing Officer

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2600 - $3000 + AWS + VB
• Location: Eu Tong Sen St ( 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

Lee Wan Ling | Reg No: R23116154

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.

About the Centre for Quantum Technologies (CQT)

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

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

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS), and the French-Singaporean international laboratory (Majulab), are seeking a talented postdoctoral fellow to conduct theoretical and numerical investigations on Kardar-Parisi-Zhang (KPZ) physics in quantum systems.

The KPZ equation, introduced in 1986 to describe the growth of rough surfaces, has since become a captivating area of research due to its remarkable universality. The project entails studying three quantum platforms where recent studies have shown signatures of KPZ physics: random quantum circuits, Anderson localization, and exciton-polariton condensate, as detailed in [Nahum et al., PRX 2017; Mu et al., PRL 2024; Fontaine et al., Nature 2023]. All three systems are subject to random fluctuations in their many-body degrees of freedom: (i) in the growth of entanglements in quantum circuits, (ii) in the wavefunction fluctuation of an Anderson localized system, and (iii) in the phase of a driven-dissipative condensate.

Despite being completely different, these systems are strikingly connected by KPZ physics. By following upon this unique cross-platform connection, one has the opportunity to discover new properties in each of these systems that could not have been envisaged otherwise. In this position, the fellow's primary focus will be on the latter two platforms and interact closely with another fellow dedicated to the first platform.

Job Requirements

The candidate should possess a solid academic track record and some prior experience in quantum disordered systems, quantum transport, many-body physics, quantum information, quantum fluids, or cold atoms. Proficiency in numerical simulations is essential.

The appointee will join CQT under the supervision of a group of researchers including Profs., Kwek Leong-Chuan, Hui Khoon Ng, Jiangbin Gong, Gabriel Lemarié, Maxime Richard, and Christian Miniatura. The candidate will actively contribute to all aspects of the group's operation, including co-supervising interns and PhD candidates. Salary will be competitive and commensurate with the candidate's work experience. Applicants are required to submit a detailed CV. Positions will initially be offered for 12 months with possible extension by another 12 months. The position is available from June 2024 and will remain open until filled. Shortlisted applicants should also arrange for three letters of reference.

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

Job Description:

We are looking for an Investment Research Intern to join our investment team. This role is perfect for fresh graduates or undergraduate students who are eager to dive into investment research (e.g. style factors), financial data analysis, and uncover its unique characteristics compared to other industries. The ideal candidate will have a passion for financial investment research (in stocks and futures), data and portfolio performance analysis, an analytical mindset, and a keen interest in the financial sector. We are seeking candidates with strong analytical skills, problem-solving abilities, and programming experience, particularly in maintaining and refining existing Python code.

Responsibilities:

• Assist in conducting investment research (e.g. factor research) using Python and/or spreadsheets.
• Utilize statistical methods and/or visualisation techniques to present findings clearly and compellingly.
• Support the investment team in preparation of presentation materials for internal discussions.
• Maintain and update existing data cleansing, investment portfolio construction and performance analysis codes written in Python.

Requirements:

• Currently pursuing or recently completed a degree in (Quantitative) Finance, Economics, Statistics, Computer Science, or a related field.
• Strong analytical abilities, data manipulation skills, and a passion for working with data.
• Proficiency in Python, preferably with a focus on writing structured, class-based code.
• Self-motivated, eager to learn, and enthusiastic about new technologies.
• Experience in SQL is a plus.

Additional Notes:

• This internship offers a great opportunity to gain hands-on experience in financial data analysis and contribute to impactful projects.
• You will have the chance to work with seasoned investment professionals, gaining valuable insights and experience in the financial industry.
• The internship period will be for 3 months with a possible 3-month extension based on performance outcomes.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Senior Research Support Officer in Research Support Unit

Facility Management:

• Establish short term (1 – 3 years) and long term (5 years and above) facility management plan to be in line with company’s business continuity plan.
• Establish the facility monitoring system in cooperation with external vendors.
• Conduct facility management, such as repair works and maintenance works, in cooperation with external vendors.
• Arrange the relocation of lab and equipment in line with research activities.
• Schedules and oversees the use of space, resources, and lab/equipment in line with research activities.

Requirements:

• General degree with minimum 8 years of facility management experience in the life science industry.
• Business proficiency in Japanese Language is a must to liaise with Japanese speaking colleagues and clients.
• Proficient in Microsoft Office Applications such as Word, Powerpoint, Excel, Outlook, Forms etc.

Interested applicants are invited to apply with their detailed resume, qualifications, availability, current and expected salary.

For more information regarding our Company, you may refer to our website at:

http://chugai-pharmabody.com/

We regret that only short-listed 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 staff would lead at least one project under supervision of the Principle Investigator (PI).

• The scope of the project is on biomass valorization for either aviation fuel production or transformation into advanced materials.
• Develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• Executive the plan experimentally and interpret the data critically.
• Report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• Draft manuscripts and attend conferences to publicize the project findings.
• Support other team members and train junior colleagues.
• Draft research proposal together with the PI.

Qualifications

A well-qualified candidate should:

(1) be passionate about research;

(2) have a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;

(3) be an expert of chemical conversion of natural and synthetic polymers;

(4) command both spoken and written English at professional level;

(5) be a good team player;

(6) excellent publication record in related areas.

Work hours: Monday - Friday, office hours

Location: Redhill, Kay Siang

Contract period: 1 year contract

Job scope:

• To support research and evaluation projects on offender rehabilitation by:
• Collecting and analyzing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

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

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

We regret to inform that only shortlisted candidates will be notified.

https://go.persolkelly.com/job/apply/7636

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PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22108817 Lin JingYuan

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We seek a full-stack engineer passionate about delivering the best user experience for cutting-edge technology. You will build the back end, which empowers the next-generation AI assistant, and the front end, which creates seamless new workflows.

Responsibilities

• Work with the core research team to idealize design concepts
• Participate in all aspects of agile software development, including design, implementation, and deployment
• Architect and design end-to-end systems optimized for speed and scale
• Build the front-end of applications through appealing visual design
• Test software to ensure responsiveness and efficiency
• Build features and applications with a mobile responsive design
• Write technical documentation

Qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Interest in learning new tools, languages, workflows, and philosophies
• At least one year of experience in building software applications
• Experience in building web applications, and designing and integrating RESTful APIs are added advantages.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
• Excellent debugging and optimization skills
• Experience in unit/integration testing
• Excellent communication and teamwork skills
• Employment type: 12 months' contract

Only shortlisted candidates will be notified.

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

Key Responsibilities:

• Experimental Execution: Execute experiments to investigate the efficacy, safety, and mechanisms of RNA therapeutics in cellular and animal models. Utilize state-of-the-art techniques to achieve research goals.
• Data Analysis: Analyze experimental data, interpret results, and draw meaningful conclusions. Present findings at lab meetings, conferences, and in scientific publications.
• Collaboration: Collaborate closely with other lab members, including graduate students and faculty, to drive interdisciplinary research projects and contribute to a vibrant scientific community.
• Translational Focus: Engage in research activities that have direct implications for the clinical application of RNA therapeutics, actively participating in discussions related to translational strategies.

Qualifications:

• Degree in Science disciplines or equivalent.
• Mouse and colony management experiences are required.
• Background in RNA biology, nucleic acid therapeutics, or related areas is ideal.
• Proficiency in molecular biology techniques, cell culture, and animal models.
• Excellent communication skills, both written and oral, and the ability to work collaboratively in a team-oriented environment.

Contract: 1 year

Location: Redhill

Responsibilities

• Collecting and analysing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements

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

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://go.persolkelly.com/job/apply/9917

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