Responsibilities:

• Process vendor invoices for payments on a timely basis
• Liaise with vendors and business users for any discrepancies in vendor invoices
• Liaise with customers for timely collection of invoices
• Process payments, receipts and month-end closing entries
• Prepare inter-company billing
• Support cash flow forecast, GL, reporting and GST submissions when necessary
• Prepare balance sheet schedules and bank reconciliation reports
• Support audits, including financial year-end audit, internal controls audit, etc

Requirements:

• Diploma in Accountancy or its equivalent
• At least 3 years’ relevant experience in a similar role
• Proficient in SAP and Microsoft 365 applications including Excel
• Meticulous and high level of accuracy
• High learning agility and collaborative with good interpersonal communication skills

CNRS@CREATE is looking for a Postdoctoral Research Fellow in Urban Studies to join our SPACE project team.

SPACE PROJECT

The SPACE project is developing a research protocol for infectious disease prediction and prevention in Singapore. The project draws upon analyses of the risk factors and sociospatial patterns that drive dengue and COVID-19 transmission in Singapore, as well as the social and technical skills developed by individuals and community groups in response to disease propagation. Combining insight from the social sciences (geography, architecture and urban design, communication, economics, sociology, public policy) with biology (epidemiology, entomology) and computer science (artificial intelligence, biostatistics), the project will use the concept of “adaptive capacity” (AC) to explore the potential of community-based “latent social capital” (i.e. human, cultural, political, and social) as key assets for adaptive responses to health challenges related to dengue in its interplay with COVID-19.

The project brings together 23 researchers, 10 from France and 13 from five Singaporean universities (NTU, NUS, SUTD, SMU and SUSS). The research will be conducted in Singapore.

DESCRIPTION

Cities are at the forefront of adaptation and mitigation strategies in a wide range of global issues. Over the past decades, climate change and public health more particularly have been increasingly connected as changing environmental conditions pose significant threats to health and health care systems. The propagation of vector-borne infectious diseases, such as dengue, malaria and Zika, and new, emerging diseases, such as Covid-19, have prompted cities to increase their adaptive capacities in terms of prediction, prevention, and preparedness to current and future pandemics.

Building political agency across scales of government, in various national and transnational arenas and through various means (city-to-city cooperation, city networking, city diplomacy) has been a key challenge for cities. Building and sharing real-time data and coordinating public health responses across borders have been facilitated by the use of digital technologies through various types of devices (contact tracing applications, global mobility trackers, temperature screening kiosks and stations, environmental and population surveillance drones, digital platforms and web-based mapping of hotspot areas). Predictive Artificial Intelligence (AI) fed by growing streams of data from various sources along with increased capacity of Machine Learning have allowed improving model robustness. Finally, biotechnologies are also leveraged for improving diagnostics, vaccines and new vector control strategies. This takes place in a context whereby international policy transfer or policy mobility at large are being accelerated worldwide by digital and social media.

Against this backdrop, this postdoctoral research position aims at exploring the ways in which cities in South-East Asia are responding to the emergence and propagation of infectious diseases, both endemic, vector-borne diseases, such as dengue, and new, emerging infectious diseases, such as Covid-19. More particularly, it aims at analyzing the different ways in which knowledge about diseases and public health responses are built, circulated and shared across borders. Emphasis will be put on the use of “smart technologies” (digital technologies based on Big Data, Mobile Internet and AI) for the prevention and management of diseases. Case studies should include Singapore as a main case and a selection of other relevant cities in South-East Asia sharing similar health and environmental conditions. Specific digital technologies and tools may be selected to narrow down the international comparison.

The project’s research methodology may include discourses and/or content analysis of global and national narratives on changing urban environmental and health policies, literature reviews, which may include a scoping review, designing and conducting qualitative interviews with public and private stakeholders in Singapore.

EXPERIENCE & QUALIFICATIONS

• A doctoral degree in the appropriate field or discipline, such as urban studies, urban geography, urban planning, sociology, political science, public policy, environmental policy, public health, communication studies and cultural studies.
• The candidate should have demonstrated expertise in methods of qualitative research including interviews, ethnography, focus group discussions, data collection, and analysis.
• Proficiency in English
• Proficiency in one other Singapore’s official languages would be an asset.

This postdoctoral scholar will benefit from close collaboration with other team members from the SPACE project.

FURTHER INFORMATION & CONTACT

Salary range: 6100 to 7200 SGD (depending on suitability and experience).

Duration: 12 months.

Workplace Address: CREATE Tower (NUS Campus), 1 Create Way #08-01 Singapore 138602

Please send a short cover letter describing your suitability for the position, detailed CV with publication list, a concise description of research interests and future plans, and academic transcripts to: [email protected].

We will begin reviewing applications for the positions immediately. Expected start date of the contract is April 2024.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Title: WORKPLACE SAFETY & HEALTH OFFICER (WSHO) (ID4437)
Location: Kakit Bukit (HQ) , Serangoon (Site Area)
Working Hours: Mon to Fri 8.00am-5.00pm, Sat 8.00am-12.00pm
Salary: $4500-$7000


Responsibilities:
• Advice the occupier on the following matters in respect to the Environmental, Health and Safety requirement of the project:
• The prevention of injury to personnel and damage to equipment and materials, including the application of safety procedures
• Further improvements to existing safe / sound working method and risk assessment including those arising from new developments.
• The provision, use of suitability and required standards of protective clothings and safety equipments.
• The suitability of new and hired plant and equipment and the validity of all appropriate test certificates.
• Any changes in legislation related to safety, health and welfare.
• Monitors the overall EHS performance of the project, identifying unsafe conditions and procedures and recommending corrective actions.
• Recommends to the Project Manager for cessation of work in such a condition that works cannot be carried out with due regards to workman's safety
• Responsible for the establishment and maintenance of all safety and health record keeping systems and will liaise with the Statutory Bodies with regards to any EHS matters.
• Act as Secretary to the EHS Committee.
• Conduct & Compile daily and monthly EHS reports.
• Collates data (or summary) from EHS inspection failures by EHS personnel, MOM & NEA summons / court orders / demerit points, EHS incidents and accidents, etc to perform data analysis to facilitate problem-solving and continual improvement.
• Generates corrective and preventive action requests for EHS violations / deviations to the responsible site personnel / sub-contractor and monitors on the effectiveness of undertaken EHS corrective and preventive actions;
• Responsible for administration of the site-specific Project QEHS Management System, and identifies required changes or updates to this system, if any, to the QEHS and Project Manager; Coordinates with and provides directions to the WSH Coordinator, Safety Supervisor, Lifting Supervisor, Scaffold Supervisor and Formwork Safety Supervisor, and other EHS personnel on the day-to-day EHS activities of the worksite;
• "Leads the investigation of incidents / accidents on site and performs root cause analysis with
• Recommendations on corrective and preventive actions;"
• Enforces EHS requirements on site by proposing imposition of EHS administrative charges to the Project Manager / Corporate EHS department on workers and sub-contractors who commit EHS violations;
• Responsible for ensuring all parties comply to the implementation of the Permit-to-work systems and issuing the PTW Reference Number to facilitate work coordination purpose among stakeholders.
• Accountable to the Project Manager for implementation of the site Environmental, Health and Safety management system.

Requirements
• Must be a Singapore Registered Safety Officer / Workplace Safety & Health Officer with Ministry Of Manpower (Singapore)
• Min. Diploma in Building / Civil / Structural Engineering
• Min. 5 years’ experience as WSHO in Singapore

Job Description:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

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

Job Description:

The candidate will train large language models with multimodal inputs (e.g. human generated text, programming languages, images). The candidate will investigate techniques to make language models amenable to logical reasoning and arithmetic reasoning. The candidate will need to scope out possible data collection, curation, and cleaning strategies and publish at high-impact venues in machine learning, NLP, and AI.

Job Requirement:

• PhD in computer science with specialization in NLP, machine learning, deep learning, multimodal processing, or related fields.
• At least 5 years of experience
• Proficient programming skills (C++ experience preferred), familiarity with Linux, adept with processing and training large language models
• Publications at top AI/NLP/ML venues are a must
• Strong analytical and critical thinking skills, team player with good communication and interpersonal skills
• Experience in large-scale data processing (e.g. at least 40GB of text) is highly desirable

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

About the position

The Investment Officer position will play a key role in achieving the Southeast Asia Economic strategy’s objective to increase Australian investment in Singapore, working closely with colleagues at the Australian High Commission and in other Australian missions in Southeast Asia. Working under limited direction to implement initiatives under the strategy, working with Singaporean and Australian Government agencies, Australian investors and the business community to promote Australian investment in Singapore. You may be required to undertake travel within and outside of Singapore and undertake work outside of business hours.

Key responsibilities of the position include but are not limited to

• Build, develop and maintain collaborative networks with key business, government agencies and financial sector contacts.
• Maintain and develop a current understanding of the Singaporean Government policies and emerging issues including and outside of the regulatory requirements for foreign investors.
• Work collaboratively with local project proponents to better understand Australian investor appetites and to shape investment opportunities to attract Australian investors.
• Undertake research and analysis to identify and report on investment environment, market insights, regulatory processes and barriers and existing and emerging business opportunities for Australian companies across a range of sectors.
• To view the complete responsibilities, please visit our Australian High Commission Career Opportunities webpage

Required Qualifications/Experience/Knowledge/Skills

• Qualifications in a relevant field are highly desirable.
• Experience in a related field is highly desirable.
• Demonstrated skills in building and managing productive working relations with clients, suppliers, business partners and/or government bodies, and a proven ability to utilise a network to achieve business results.
• Fluency in English is essential.
• To view the complete job requirements, please visit our Australian High Commission Career Opportunities webpage

How to apply

For more information to submit a successful application with the necessary documents, visit Australian High Commission Career Opportunities page.

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 8 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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

Job Summary

The Corporate Support Officer plays a clerical and administrative support role in various functional areas, including line operations, human resource management, finance and corporate services, public affairs as well as research and information support. He/She provides administrative support for the smooth and effective day-to-day operations of the organization.

Duties & Responsibilities

1. Support daily administrative tasks, including documentation, data entry, and managing correspondences with stakeholders. Assist in Corporate Affairs, Human Resources, Supply Chain Management, Finance, and Legal matters. Handle telephone calls and inquiries.

2. Compile and prepare monthly reports in both English and Mandarin for submission to the China Office.

3. Create PowerPoint presentations in both English and Mandarin.

4. Perform any additional tasks as assigned from time to time.

Job Requirements & Attributes

1. Candidate must possess at least a degree certificate.

2. Excellent organizational skills, as well as excellent IT skills. Demonstrable ability to use Microsoft Office including Word, Excel, and PowerPoint.

3. Proficient in both English and Mandarin, offering translation support for stakeholders proficient in the language. Proficiency in Mandarin and English is a must.

4. A detail-oriented person, motivated by multiple tasks and able to meet deadlines.

5. A team player with good interpersonal and writing skills.

6. You should be meticulous, diligent, a team player, independent, and process initiative. Other key attributes include excellent communication and interpersonal skills

7. At least 2 year(s) of working experience.

8. Able to work in a fast-paced and dynamic environment.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

We are looking for a highly motivated individual to join our group which research focus is to establish and optimize the fission yeast Schizosaccharomyces pombe as a bioreactor for high-value protein production. The successful candidate will also support in maintaining lab infrastructure and research studies.

Requirements:

• BSc (Hons) / MSc in Biological Sciences or related fields
• Experience with mammalian cell culture and molecular cloning is required
• Highly motivated and able to work independently

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their application letter and CV with at least two references to:

Dr ZHANG Dan

Principal Investigator

Temasek Life Sciences Laboratory Limited

Email: [email protected]

(Please note 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 ECE department is looking for candidates to conduct research on microarchitectures that support emerging computing paradigms (i.e., brain-inspired or quantum-inspired computing). The candidates will explore microarchitecture designs that support these emerging computing paradigms using a system-technology co-design approach. Tasks involve the exploration of various design aspects across the devices-circuits-systems-architectures-algorithm stacks.

Qualifications

1. Minimum a Bachelor degree in engineering
2. Preferable to have experience in microarchitecture design and use of EDA tools such as Cadence Virtuoso, HSPICE, etc. Experience in nonvolatile device technologies is a plus.
3. Open to Fixed Term Contract

COMPANY DESCRIPTION

Mediacorp is Singapores largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Conduct material and field research and verify facts before scripting for production.
• Provide advice to producers based on the facts/data gathered.
• Build script draft and sequence for content flow and eventually write good quality Chinese scripts for programme.
• Brainstorm interesting programme concepts and do presentation at pitch sessions.
• Source for talent and assess suitability of role based on requirement of programme.
• Source for location and assess for suitability and cost.

• Minimum a degree in education with 2 years of working experience.
• Passionate about the entertainment industry.
• A strong communicator and has a flair for writing.
• Possess good research skills.
• Good command of Chinese language - both written and spoken as you will be attached to the Chinese Entertainment production.
• Effectively bilingual in Mandarin and English to communicate with various departments and organisations.

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies

The Centre for Quantum Technologies (CQT) is a research centre of excellence in Singapore. It 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 and also has staff at Nanyang Technological University. With some 180 researchers 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) is offering a position for a postdoctoral fellow who will work on quantum cryptography, specifically multi-party quantum cryptography. Sample topics include

• quantum homomorphic encryption, quantum private information retrieval and secure delegated quantum computation;
• composable security for multi-party quantum cryptography;
• quantifying tradeoffs between security and noise in multi-party quantum cryptography;
• using quantum error correction for noise resilient quantum cryptography

Job Requirements

he candidate should have a strong track-record working on technical aspects of quantum information theory and cryptography. The candidate is expected to have a PhD in electrical engineering, computer science, physics or applied mathematics and a publication record in quantum information theory.

The candidate will work closely with Assoc. Prof. Marco Tomamichel . The position is funded by the QEP (Quantum Engineering Programme) project “Quantum homomorphic encryption: the Swiss army knife for the quantum internet?” and thus the research conducted must be within its scope, i.e., roughly around the sample topics mentioned above. The candidate is expected to use the postdoctoral stint to develop a strong research profile by conduction research on the above-mentioned topics.They are also expected to contribute to the group, for example by co-supervising undergraduate student projects and assisting with teaching.

For more information about the group's research interests, please visit the homepage at

http://www.marcotom.info/

Salary will be competitive and will be commensurate with the candidates work experience. The successful applicant will also receive generous travel funding.

Applicants should submit a detailed CV and the completed NUS Personal Data Consent for Job Applicants directly at our NUS Career Portal. Positions will initially be offered for one year, with the option to extend up to a total of three years. The start date is flexible. If shortlisted, applicants should also arrange for at least two to three letters of reference to be sent to the same address.

We regret that only shortlisted candidates will be notified.

Reporting to the Customer Service Executive, the Customer Service Officer’s main responsibility is to handle the billing processes.

Responsibilities:

• Perform billing administration and customer service function
• Ensure invoices are in order and billed correctly
• Verification of proof of delivery documents
• Basic administrative duties include filing, scanning, or copying
• Attend to inquiries from customers

Competencies

• Self-starter, positive working attitude, and good team player
• Able to work independently and handle high volume work under a tight deadline
• Meticulous with an eye for detail
• Bilingual in English and Chinese for effective communication with our Mandarin-speaking associates

Requirements:

• Minimum GCE "O" Level
• At least 1 year of related working experience in billing-related functions.
• Proficiency in MS Office with expertise in Microsoft Excel & Words
• Availability on short notice preferred

The position will be based at Lim Chu Kang.

Company transport is provided at Kranji MRT Station.

Job Highlight

Salary: $2800 - $3500 (commensurate on experience)

Contract: 9 months

Working Location: Nearest to Labrador Park MRT

Working Hours: Monday to Friday, Office hours

Job Descriptions

Oversee and manage project management and grant administration efforts for R&D projects, including to:

• Monitor project progress
• Ensure the timely submission of audit and progress reports by grantees
• Check and process claims submitted by grantees, as well as process invoices raised by Finance for disbursement of grant funding to grantees
• Support the department in providing updates to relevant agencies on budget projections, project progress, and funding utilisation for R&D funds;
• Work with Finance to streamline grant administration and project management processes, including exploring the use of digital tools and data analytics to support these efforts;
• Improve grants governance processes; including ensuring that the handbook adheres to guidelines and up to date where necessary.
• Provide support in organising and supporting workshops and meetings where needed.

Job Requirements

• Only Singaporean need to apply.
• Degree in Informatic Technology/ Computer Science/ Data Analytic or equivalent field.
• Proficiency in data analytics/automation tools (e.g., Tableau, PowerBI, RPA) is advantageous.

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a passionate and self-motivated postdoctoral research fellow to join our multidisciplinary team working on the development of novel synthetic and bio-based polymers and composite materials for environmental sustainability applications. The successful candidate will be expected to be part of the research team under the supervision of the Principal Investigator (PI) to work on:

• Developing materials and technologies for resource recovery from seawater desalination processes.
• Conducting research and experiments for materials synthesis, fabrication, testing and characterization.
• Writing and preparing progress reports, manuscripts, and proposals related to the propjets.
• Assisting the PI in guiding junior researchers, graduate students, and undergraduate students.
• Assisting the PI in managing projects and laboratories and other ad hoc tasks that may be assigned.

Qualifications

• PhD degree in Materials, Chemistry, Chemical Engineering, Environmental Engineering, or any other related field, obtained from a reputable university.
• Two or more years of postdoctoral working experience as an independent researcher showing evidence of excellent research accomplishments and student supervision.
• Excellent research publication records in reputable international journals.
• Strong background in biomass and biobased polymers, hydrogels, and composite resins for adsorption and separation of metal ions.
• Excellent written and spoken English communication skills.
• Being a good team player across multiple disciplines.
• Prior experience in managing projects, laboratories, and research funding.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Interpretable Graph Neural Networks.

The successful candidate is required to:

• Contribute to Deep Learning and Interpretable Graph Neural Networks
• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• PhD degree in Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

Job Position Summary

Reporting to the General Manager, the main responsibility of the quality assistant is to facilitate the administrative process of their respective departments by providing administrative support and documentation of information, adhering to SOPs

Key Roles and Responsibilities

Conduct checks on FML vessels for audit risk/adequacy of navigation/security infrastructure

• Responsible for reporting on areas of audit risk/adequacy of navigation/security infrastructure

• Collaborate with vessel crew to conduct checks on areas of audit risk/adequacy of navigation/security infrastructure as assigned by Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance

• Present findings from checks to Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance to inform business decisions

Maintain proper documentation and storage of information

• Responsible for the proper documentation and storage of information within the department

• Document information as directed by Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance to ensure proper governance and recording of important information

• Maintain and store of all important physical or e-documents within the department in an organized manner

Execute continuous improvement initiatives within the department

• Responsible for executing continuous improvement initiatives within the department

• Collaborate with Head, Vetting & Performance/Head, Investigation and employees within the department to identify improvements that can be made to policies, processes or technological infrastructure.

• Execute continuous improvement initiatives within the department in accordance to developed plans

• Provide regular updates on progress of continuous improvement initiatives, as well as adherence to timeline and budget to Head, Vetting & Performance/Head, Investigation

Day-to-day operations

• Responsible for the provision of administrative support to the department

• Respond to queries or requests for administrative support within the department in a swift manner, in accordance to developed SOPs

Relationship

Internal:

· Primarily maintains relationships with Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance and colleagues

· Collaborates with Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance and colleagues to ensure administrative support is provided to the departments

Job Experience, Functional Knowledge and Qualifications

• Min 3 years work experience in the Maritime Industry

• Strong understanding of ship chartering operations

• Degree in Maritime or relevant field

Competencies

Level One Competencies

Effective decision-making

· Analysis & Problem Solving

Interacting with others

· Collaboration, inclusion & teamwork

· Listening and communicating

Driving high quality

· Customer focus

· Planning & organizing

· Initiative

· Accountability

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

Research Assistant

The research officer will serve as the crucial link between the study and its participants, and be in charge of recruiting and interviewing participants for the study.

• Contribute in preparing data for analysis
• Understand the context of the research, organize and process complex data
• Create a set of codes or labels that recognize patterns and connections within the data
• Develop guide or codebook that documents the definitions and criteria for each code
• Continuously comparing data to refine and modify codes as the analysis progresses
• Contribute in preparing interview questions
• Innovate to improve processes within the study, particularly in recruitment and data collection
• Contribute in preparing findings for dissemination in multiple formats (e.g., powerpoint, infographics, video)
• Work collaboratively with other researchers or team members involved in the research project

Research Associate / Fellow

The Research Associate/ Fellow will perform a crucial role in managing the data-related tasks in the study.

• Provide leadership and expertise in the development and implementation of Research Data Management
• Oversee the data preparation progress, develop data coding protocols, and ensure data quality
• Conduct data analysis and communicate findings to stakeholders
• Prepare research reports and publications
• Undertake administrative tasks related to the research project
• Participate in research-related activities (seminars, workshops, etc.)
• Work collaboratively with other researchers or team members involved in the research project

Qualifications

Research Assistant

Minimum Education Qualification: A Bachelor’s degree and above in relevant areas

• Able to communicate effectively and build rapport with individuals from different backgrounds
• Able to work independently and autonomously with participants in recruitment and interviews
• Dynamic, resourceful, and able to work independently but also as a team.
• Proficiency in MS Office (particularly in Excel and Powerpoint)

Research Associate / Fellow

Research Associate- Minimum Education Qualification: A Master’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

Research Fellow- Minimum Education Qualification: A PhD’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

• Proficient in data-related tasks
• Excellent scientific writing skills
• Excellent in quantitative research methods (such as SEM) and proficient in the use of SPSS or other software such as R, Mplus, Stata.
• Excellent work planning and time management skills
• Excellent problem-solving skills
• Able to multi-task and work under pressure in a changing environment
• Good communication skills (e.g. inter-personal skills, ability to present findings to different stakeholders)
• Strong interest in research in the forensic and rehabilitation field
• Self-motivated: Able to work well both independently and as a member of a team
• Passion for high-impact research

Applicants are expected to address all requirements and job responsibilities.

Job Description

· Managing and maintain records of the incidents and all circumstances and events occurring.

· Perform accident / near miss investigations and report findings with the recommended corrective actions to prevent recurrence to respective management.

· Coordinate, conduct or facilitate Health & Safety training activities and safety meetings.

· Work closely with site Operations Executives and Person in Charge at Projects on all Workplace Safety and Health issues.

· Identify unsafe act or behaviours, advice and counsel all employees and subcontractors in acceptable safety performance and practices with references to the stipulated Risk Assessment, safe work practices, report to management when necessary.

· Perform safety risk assessments and support operation team for safety related administrative works as per customer’s request.

· Perform monthly site audits/inspection.

· Assist to maintain company's Integrated Management System (IMS), system compliance through audits and documentation

Requirement

• Self-driven, able to deliver within short notification/deadline
• Diploma and above in Safety or relevance
• Registered Safety Officer, MOM
• Attended Safety Management Officer Course for Construction (prefer)
• Good knowledge of Safety Regulations and Procedures.
• Possessed own transport / Motorbike driving license
• Ability to present a professional image and to act in the best interests of the Company
• Basic knowledge in Microsoft Office Application (words, excel, ppt).
• Knowledge on IMS

Kindly include the following:

• Reason for leaving (All past and present employment)
• Last drawn Salary
• Expected Salary
• Availability and Notice Period

Job Description

· Managing and maintain records of the incidents and all circumstances and events occurring.

· Perform accident / near miss investigations and report findings with the recommended corrective actions to prevent recurrence to respective management.

· Coordinate, conduct or facilitate Health & Safety training activities and safety meetings.

· Work closely with site Operations Executives and Person in Charge at Projects on all Workplace Safety and Health issues.

· Identify unsafe act or behaviours, advice and counsel all employees and subcontractors in acceptable safety performance and practices with references to the stipulated Risk Assessment, safe work practices, report to management when necessary.

· Perform safety risk assessments and support operation team for safety related administrative works as per customer’s request.

· Perform monthly site audits/inspection.

· Assist to maintain company's Integrated Management System (IMS), system compliance through audits and documentation

Requirement

• Self-driven, able to deliver within short notification/deadline
• Diploma and above in Safety or relevance
• Registered Safety Officer, MOM
• Attended Safety Management Officer Course for Construction (prefer)
• Good knowledge of Safety Regulations and Procedures.
• Possessed own transport / Motorbike driving license
• Ability to present a professional image and to act in the best interests of the Company
• Basic knowledge in Microsoft Office Application (words, excel, ppt).
• Knowledge on IMS

Kindly include the following:

• Reason for leaving (All past and present employment)
• Last drawn Salary
• Expected Salary
• Availability and Notice Period