Founded in 2017, Achievers Dream Learning Centre is a distinguished Science and Chemistry Specialist Tuition Centre that has empowered many students to excel in their academic pursuits. Beyond traditional theory lessons, our NEA-approved Chemistry Laboratory has transformed the learning experience, enriching the educational journey for countless students.

Job Opportunity:

Join our mission to provide Better Education as we expand our team and seek a dynamic Admin Support Assistant. This key role will involve managing administrative, operational, and sales-related responsibilities to ensure seamless enrolment processes and to deliver a pleasant customer service experience.

Key Responsibilities:

• Front Desk Operations: You will be the face of the Centre, greeting visitors and answering phone calls. You will handle administrative tasks such as registration of new students, managing walk-ins, and responding to inquiries from parents.
• Sales and Enrolment Management: Develop and implement strategies to attract new students and increase enrolment.Conduct outreach to potential students and their families through various channels, including phone calls and emails. Provide information about our tuition programs, courses, and schedules to interested parents. Guide parents through the enrolment process, including registration, payment, and scheduling.
• Centre Management: You will be responsible for ensuring the smooth running of daily operations at the Centre. This may involve organizing schedules, maintaining the Centre's cleanliness and orderliness, and ensuring that supplies are adequately stocked.
• Customer Relationship Management: Build strong relationships with parents and guardians by addressing their inquiries and concerns promptly and professionally. Serve as the primary point of contact for parents, providing ongoing support and assistance throughout their child's enrolment. Maintain accurate records of student enrolment, attendance, and payments using our database systems.
• Administrative Support: Assist with administrative tasks such as scheduling classes, managing student records, and preparing reports as needed. Coordinate with teaching staff to ensure smooth operation of classes and timely communication with parents regarding student progress. Handle general office duties, including answering phone calls, responding to emails, and maintaining a clean and organized workspace.
• Reporting: You will be responsible for keeping the Centre Manager informed of any issues or concerns that arise. You will also be expected to provide regular updates on the Centre's performance, including enrolment and attendance.
• Collaboration: You will be workin closely with the Teaching & Curriculum Team to ensure that students receive the best possible education and support. You will be expected to communicate effectively with team members and contribute to a positive, collaborative work environment.

Our Team Culture Code:

At Achievers Dream Learning Centre, we pride ourselves on a vibrant and dynamic workforce. Our team is a dynamic mix of individuals from various backgrounds and corners of the globe. We are committed to fostering a culture of support, trust, and inclusivity, regardless of where our team members are in their life journey.

We believe that life is not just about work—while we solve problems together, we also celebrate personal and professional milestones and enjoy having fun as a team. One of our favourite team traditions is sharing a meal together, complete with a cup of bubble tea in hand. It’s our way of coming together, enjoying good food, and making the most of our day. After all, with food in our bellies and a smile on our faces, we're ready to tackle any challenge and conquer the day!

We abhor office politics and drama, and we do not tolerate disrespectful behaviour towards anyone. We are committed to maintaining a safe and respectful work environment for our staff. This includes protecting our team from any verbal abuse or inappropriate behaviour from parents.

We find delight in team members who bring a collaborative spirit, a problem-solving mindset, and a passion for learning. A pleasant demeanour and an open attitude to learning are essential for building strong, long-term working relationships.

Requirements:

• Diploma or Bachelor's degree in Business Administration, Education, or related field.
• Proven experience in sales, enrolment management or administrative roles, preferably in the education sector.
• Strong organizational skills and attention to detail, with the ability to manage multiple tasks effectively.
• Excellent communication and interpersonal skills, with a customer-centric approach.
• Proficiency in MS Office and enrolment management software.
• Ability to work independently and collaboratively in a fast-paced environment.

Work locations and timings

• You will be required to travel between our various outlets (Bukit Timah, Lorong Chuan, Kembangan) based on roster schedule and commit to the work schedule of 3 weekdays and 2 weekends.

Join us and be part of a team dedicated to shaping the future of education. If you are passionate about making a difference and possess the required qualifications and experience, we invite you to apply for the

Enrolment Specialist position today!

To apply, please submit your updated resume and a cover letter highlighting your relevant experience and why you are the ideal candidate for this role.

We look forward to welcoming you to our team!

Key Responsibilities

• Support the preparation and presentation of trade finance documents. Follow up with related deals.
• Assist in preparing treasury reports, including cash positions, liquidity forecasts, and daily financial summaries.
• Support the preparation of monthly or quarterly financial reports for management review.
• Input data into software tools for accurate and up-to-date financial reporting.
• Provide administrative support to the treasury department by organizing documentation, filing reports, and coordinating meetings.
• Help maintain treasury-related records and ensure compliance with relevant documentation requirements.
• Offer support on any finance matters projects.
• Maintain good business relations with banks and other related financial institutions.
• Undertake any other duties assigned by the Company.

Job Requirements:

• Bachelor's degree in the major of Finance, Accounting, Investment or a related field.
• graduates are welcome to apply.
• Basic knowledge of Letter of Credit transactions, including understanding LC terms, issuance, and related documents.
• Prior experience in oil, energy, or petrochemical industry is preferred.
• Knowledge of fund regulations, banking operations, and fund settlements.
• Proven ability to work collaboratively and maintain trust and integrity within a team.
• Bilingual proficiency in English and Mandarin is preferred to effectively communicate and collaborate with our Mandarin-speaking counterparts at HQ.

~Accounting Assistant~

• Processing payments and expenses
• Handling invoicing
• Assisting with credit control
• Preparing financial reports and reconciliations
• Filing
• Handling mail
• Working with spreadsheets, sales and purchase ledgers, and journals
• Recording and filing cash transactions
• Work closely with finance manager

Welcome fresh graduate.

Requirements:

• Bachelor graduate
• Strong attention to detail, accuracy, and communication skills
• Organized, able to multitask, and proficient in digital office tools

Working hours:

9am-6pm (5 days）

Location：

Raffles Place

Submit your CV to Ms Shan +65 8866 1672. Thanks.

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

• Lead advanced research in the formulation and processing of functional materials for 3D printing, materials characterization and analysis.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations.

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, or a related field.
• Strong background in materials characterization and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will study, via computational modeling and analytical techniques (reduced-order models) where appropriate, the flow of complex fluids through complex domains, subject to non-linear conditions such as, phase change, and temperature and pressure dependence of the fluid properties.

Qualifications

1. Substantial experience in computational techniques, molecular dynamics, complex flow simulations, advanced numerical methods and large-scale problems.
2. Strong programming and analytical skills are required. Experience in python, Fortran, C++ and parallel computing are a plus.
3. Good publication record in peer-reviewed journals for fluid mechanics.
4. A Ph.D. degree in relevant fields related to Mechanics, Applied Mathematics, Computer Science, and Mechanical Engineering.

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 Research Fellow (Postdoc) will conduct experimental and numerical studies in the field of coastal dynamics, including measurements and numerical modelling of turbulent processes in breaking waves, sediment transport, etc. The tasks involve particle image velocimetry (PIV) or particle tracking velocimetry (PTV) measurements of air-water interaction in a shallow water depth, turbulence in the presence of sediment concentrations, turbulence in wave-current interaction, etc. CFD model will be developed and validated with these experiments.

Qualifications

• Possess a PhD degree with research experience.
• Have with relevant background in coastal, ocean, and hydraulic engineering.
• Prior experience and knowledge of hydraulic laboratory experiments (e.g. with PIV/PTV) and numerical modelling (e.g. with DNS) of turbulent flow structures are preferred.
• Applicants must have a PhD degree and research experience.
• Strong written and spoken communications.
• Strong quantitative and analysis skills.
• Prior experience in publishing good publication record is advantageous.
• Open to fixed term contract

Computational Systems Biology deals with mathematical formulation adopted on a computational platform to analyse experimental biological datasets. Here, the candidate with work with multidisciplinary team members to develop a computational model of a microbial system under variable experimental conditions.

The highly motivated and experienced candidate will drive a project in optimizing sustainable food production through a microbial chasis. The candidate will have an opportunity to learn and innovate on deep learning -based flux analysis.

Responsibilities:

• Set up computational pipeline, code in python, and conduct relevant bioinformatics analysis
• Communicate progress, research findings, and implications to stakeholders
• Draft documentation, manuscripts, and slides

Requirements:

• Bachelor or Master in Bioinformatics, Computer Biology, Molecular Biology, or related field.
• Experience in preprocessing and analyzing RNASeq and/or meta-transcriptomics data
• Coding or scripting experience in any language
• Be a self-starter, detailed orientated, and with a growth mindset
• Proficient in python programming and the usage of its interactive notebook
• Have experience in applying flux balance analysis
• Have interest in, or a basic understanding of microbial biology
• Have an interest in post-graduate studies

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.

GetGo is Singapore’s largest and fastest-growing carsharing platform that enables everyone with the freedom to drive without the burden of ownership. Our vision is to be APAC’s #1 carsharing platform as we seek to create a mobility ecosystem that's shared and sustainable for all. GetGo has been awarded the title of Top Startup by LinkedIn for two consecutive years, in 2023 and 2024, as one of the top 10 rising companies in Singapore.

We are in search of an accomplished, skilled, and exceptionally driven individual to join GetGo as our Assistant Accountant. Our preferred candidate is someone with strong commercial acumen, analytical prowess, and outstanding financial expertise who will play a key role in overseeing various aspects of corporate accounting functions. This includes, but is not limited to, managing reporting, consolidation, treasury operations, taxation, audit, cash flow management, and business planning matters.

Day to Day Activities

• Collaborate with the Senior Finance Manager to oversee the company’s financial well-being and support key compliance areas, including statutory audits, corporate tax, GST, withholding tax, and transfer pricing.
• Provide guidance to Finance Executives and Associates by coordinating tasks and addressing inquiries.
• Ensure timely and accurate month-end and year-end closings, including preparing accounting ledgers, journals, schedules, and financial statements for internal and external requirements.
• Oversee bank and intercompany reconciliations, intercompany billings, and recharges while investigating and resolving discrepancies.
• Monitor and maintain accurate records for accounts payable and receivable, ensuring the timely and accurate processing of invoices, payments, and receipts.
• Review and approve supplier and customer account reconciliations, bank reconciliations, general ledger entries, journal entries, and financial data input into accounting software.
• Conduct financial analysis, forecasting, and budgeting, including preparing monthly P&L flux analysis and identifying trends or potential issues.
• Ensure compliance with Financial Reporting Standards (FRS) and company accounting policies.
• Assist in annual external and statutory audits, ensuring timely completion and adherence to regulations.
• Facilitate collaboration with external auditors, tax agents, corporate secretarial agents, and government authorities to meet reporting and compliance requirements.
• Proactively identify and implement opportunities to enhance finance operations, strengthen internal controls, and improve overall efficiency.
• Lead or assist in the implementation of new systems and processes, including driving system designs and conducting user acceptance testing.
• Maintain organized and confidential financial records to safeguard sensitive information.
• Perform other duties and ad hoc projects as assigned.

Who We Are Looking For

• Degree in Accountancy / Chartered Accountant / ACCA or equivalent professional qualification
• Minimum two (2) years relevant working experience in a fast paced working environment
• Result oriented, critical thinking skills and able to work independently
• Able to multitask, meeting deadlines and effectively communicating across different departments in an organization
• In-depth knowledge of full sets of financial accounts, preferably with experience in project management
• Familiar and hands-on experience with audits and accounts payable/receivable cycles
• Passion for the development of clearly-defined and optimization of operational processes
• Excellent organizational skills and be able to handle time-sensitive tasks
• Positive, meticulous, systematic, assertive, analytical, possess strong problem solving skills, good oral communication, written and interpersonal skills
• Strong in Excel and Google Sheets experience and familiarity with XERO is a plus

Why You Should Join Us

• Join a modern and innovative finance team that leads efficiency and drives continuous improvement
• Be part of the fastest-growing and largest carsharing technology company in Singapore
• Contribute to meaningful objectives within a mission-driven and values-based organisation
• Enjoy the opportunity to work in an open, inclusive, and culture-first environment

Strong Personal Alignment With Our GetGo Values

• Driven by Purpose
• Stay Curious and Humble
• Collaborate with Empathy
• Make it Better
• Get It Going!

Job Description

• Processing payment and prepare cheque
• Supporting Accountant in data entry and information gather for reports purpose
• Record financial transactions, including accounts payable, accounts receivable, and general ledger entries
• Process and verify invoices, match them with purchase orders and delivery receipts, and ensure timely payment to vendors
• Assist in preparing financial reports, including balance sheets, profit and loss statements, and cash flow statements
• Review and process employee expense reports, ensuring adherence to company policies and verifying supporting documentation
• A/R, A/P transactions
• Any other ad-hoc work instructed by superior for account related matters

Requirements

• Min Diploma in Accountancy
• Accounting knowledge is necessary
• AT least 1-year experience
• Proficiency in using accounting software and Microsoft Office applications
• Strong attention to detail and accuracy in data entry and financial records
• Excellent organizational and time management skills
• Ability to work collaboratively in a team environment
• Basic understanding of financial regulations and compliance

• Responsible for the reception of all visitors, patients and callers to the Clinic and create a professional and welcoming image for the clinic
• Responsible for updating patients’ information and sending reminders for dental treatment
• Responsible for gathering patients’ feedback forms and handling patient feedback
• Clean and sterilize instruments, and prepare treatment rooms as needed
• Ensure the appropriate supply of equipment and materials
• Perform patient charting as instructed by the dentist
• Welcome patients and get them situated in the appropriate treatment room
• At least 2 years experiences
• Excellent communication and interpersonal skills
• Customer oriented
• Positive attitude

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

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Bachelor degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• Open to fixed-term contract

COMPANY DESCRIPTION

With a capacity of around 430 beds, Peacehaven provides compassionate, individualized, holistic care to all without discrimination. We offer a comprehensive gamut of services to care for the sick, frail and elderly who have physical or mental disabilities with minimal or no appropriate caregiver support at home.

Peacehaven has also been awarded the bizSAFE level 4 status which affirms our commitment to safety and health standards at the workplace.

The Salvation Army, Singapore - Peacehaven Nursing Home

RESPONSIBILITIES

About the Job

The Assistant Manager will play a key role in building and nurturing relationships within the Peacehaven community outreach especially in our Active Aging Centre (AAC). This position focuses on developing and implementing community programs, facilitating engagement initiatives, and fostering partnerships with local organizations, government entities to promote sustainable development and community well-being in engaging our seniors in the community.

Job Description

• Program Development: Design, implement, and evaluate community development programs that address the needs of diverse community members.

• Community Engagement: Facilitate workshops, meetings, and events to engage residents, gather feedback, and encourage participation in community initiatives.

• Partnership Building: Establish and maintain strong relationships with local organizations, government agencies, and stakeholders to support community projects and initiatives.

• Advocacy: Advocate for the needs and interests of the community by representing Peacehaven in local forums and meetings.

• Volunteer Management: Manage the team in volunteer management to enable outreach programs to be executed smoothly

• Resource Management: Identify funding opportunities, prepare grant applications, and manage budgets for community programs.

• Team Management: Manage a team to engage the community and drive attainment of KPIs required by our key stakeholders.

• Data Collection and Reporting: Collect and analyze data on community needs and program outcomes, preparing reports to share with stakeholders and guide future initiatives.

• Communication: Develop and disseminate promotional materials, newsletters, and social media content to keep the community informed and engaged.

Bachelor's degree or Diploma in Community Development, Social Work, Public Administration, or a related field preferred

Job Requirements

• Proven experience in community development, social services, or a similar role.
• Strong interpersonal and communication skills, with the ability to engage diverse populations.
• Experience in program management and evaluation.
• Knowledge of community resources, local government structures, and funding opportunities.
• Proficient in Microsoft Office Suite and familiar with community engagement platforms.
• Strong organizational skills and the ability to manage multiple projects simultaneously.
• Strong attention to detail and team management skills

Work Location(s)

Peacehaven Changi Day Centre

7 Upper Changi Road North Singapore 507705

Peacehaven Bedok Day Centre

Block 121 Bedok North Road Singapore 460121

Peacehaven Bedok Arena

Block 187 Bedok North Street 4 Singapore 460187

Working Hours

Under normal circumstances the hours of duty will be as follows:

8.30am to 5.45pm (Monday to Friday)

Responsibilities :

• Assist Architect in all aspects of architectural works from conception, present design proposals and to completion of projects.
• Liaise with various specialist consultants on matters concerning design, technical co-ordination issues and building regulations.
• Attend Clients / sub-contractors' meetings on matters concerning project issues.
• Assist in documentation during conceptual and detail design development stage.
• Communicate and co-ordinate with project team/s.

Requirements :

• Degree in Architecture from a recognized University.
• Minimum 3 years working experience.
• Have working knowledge on fundamental principles, practices of architecture, local building codes and authorities' submission.
• Candidate must be well-versed in Autocad, Revit, Sketch-up, Photoshop & MS applications software.

Hours: Mon to Thur (8.30am to 5.45pm) and Fri (8.30am to 5.15pm)

Salary: Up to S$4,800

Location: Nanyang Ave

Duration: 1 year contract (convertible / extendable)

Overview

The Assistant Manager/Senior Executive, Research Administration plays a pivotal role in supporting the administration of research projects and grants. This position involves managing budgets, coordinating with research teams, and providing comprehensive administrative support to the Associate Chair of Research.

Key Responsibilities:

• Assist the Manager (Research) in overseeing research projects and grants, including budget
  management, allocation of student assistants, and processing payments.
• Ensure all research projects comply with regulatory and funding agency requirements.
• Work closely with the Manager (Research), faculty members, and other departments to
  ensure effective project management and successful completion.
• Process grant administration requests, track changes and expenses, and maintain project
  reconciliation spreadsheets.
• Develop and maintain strong relationships with funding agencies and external partners.
• Prepare progress reports, final reports, and other documentation required by funding
  agencies.
• Compile, maintain, and manage records and filing systems for research grants.
• Update standard operating procedures (SOPs) to reflect changes in regulatory requirements
  and best practices.
• Provide administrative support to the Associate Chair of Research, including scheduling
  appointments, managing calendars, and organizing meetings.
• Assist in preparing presentations, reports, and other materials for meetings and presentations.
• Perform other administrative tasks as assigned by the Manager (Research) and Associate
  Chair of Research.

Requirements:

• Master or Bachelor’s degree, preferably with a minimum of 3 years of experience in research
  administration, including budget and grant management.
• At least 3 years of experience in research administration and providing executive-level
  administrative support.
• Proficiency in MS Office Suite and other automation software.
• Excellent communication skills with the ability to work effectively with a diverse range of
  stakeholders.
• Highly organized and meticulous, with strong attention to detail.
• Capable of prioritizing tasks effectively and managing multiple responsibilities simultaneously.

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO Mobile.

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If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

EA Reg. ID: R22109658 (Teng Yong Yao)

EA License No.: 01C4394

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We have an opening for a Research Fellow (Transportation) in areas related to connected and automated vehicles (CAVs). Specifically, we expect the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to traffic control in urban and highway contexts, vehicle dynamics and control, and optimization of transportation infrastructure. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a PhD degree in Civil Engineering, Mechanical Engineering, Electrical Engineering, or other closely related fields
• Research experience in Intelligent Transportation Systems with excellent publication record
• Good programming and analytical skills.
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable .
• Good technical proposal writing and presentation skills.
• Able to plan and organize well and adhere to the deadline.
• Able to perform research in a multidisciplinary team.
• Open to fixed-term contract.

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

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

Job Requirements:

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Li Dan on Prevention of microbial contamination in cell culture meat system under a project on Bezos Center: alternative protein.

The main responsibilities of the position include:

• Screen and develop mitigation strategies of cell culture systems with AI-assisted tools;
• Build scaled-up cell culture meat systems and test the proposed antimicrobial strategies;
• Draft research reports and manuscripts;
• Attend conferences and events to publicize the research outcomes and initiatives;
• Guide research students and advise their thesis.

Qualifications

• Qualifications / Discipline: PhD in food science and food microbiology.

• Skills: Microbial cultivation and test, multi-omics analysis, food chemistry

• Experience: PhD training with the skills required in this project.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description:

Introduction

The National University of Singapore Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join us as a Research Fellow in Communication, Journalism, and Related programs under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”.

Job Description

As a Research Fellow in Communication, Journalism, and Related programs with CTIC, you have demonstrated prior research experience, so you will be tasked with supporting the planning and execution of a research project under the CTIC Digital Resilience research grant. You will work closely with the Principal Investigator on a research problem related to news on social media.
RAs with a communication research background will be tasked to focus on human evaluation and news consumption (Communication research).
Ras with a computer science or related background will be tasked to focus on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics).
You will be handling and contributing to research and innovative findings in a team, leading to publications in top-tier conferences/journals as well as exciting real-world implementations. The level of responsibility and independence entrusted would be commensurate with prior experience and academic qualifications.

Job Responsibilities

As a Research Fellow with CTIC, you will have the following duties:

Research:
• Plan and lead literature review efforts
• Plan and draft submissions for conferences and journals based on findings.
• Plan and write op-eds for university blogs and popular media.
• Comm Research RAs:
o Plan and conduct experiments on human perception and consumption of online news.
o Collect data and analyze it using tools like SPSS, R, and Excel
• CS Research RAs:
o Plan and conduct experiments on the modeling of different facets of news and news quality
o Train models, finetune LLMs, collect data and analyze it
• Write op-eds for university blogs and popular media.

Coordination:
• Plan and oversee participant recruitment and logistics for survey experiments
• Plan, manage and maintain IRB documentation.

Each research paper will have the following phases to it:
• Phase 1 – Literature reviews
• Phase 2 – CS research design, or Social Science research design, including IRB applications.
• Phase 3 – Data collection and pre-processing.
• Phase 4 – Data analysis and result tabulation.
• Phase 5 – Research communication and writing of papers.

Qualifications

• Minimum Master’s Degree in Computer Science or Communications (or in any other closely-related field).
• Minimum 2 years of relevant research experience with publications, in one or more of the following areas:
o Experience required for Computer Science degree holders
- Natural language processing, machine learning and/or knowledge representation and reasoning.
- Prior first- or second-author publications and/or technical reports or theses
o Experience required for Communications degree holders
- Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.)
- Running standard statistical tests (e.g., using SPSS or SATS or R, for regression, ANOVA, etc.)
- Prior first- or second-author publications and/or technical reports or theses

• A good team player with effective communication skills and the ability to work closely with faculty, staff, students and external collaborators.
• Excellent written and verbal communication skills.

• Proactive problem-solving skills and a forward-thinking approach.

• Demonstrated ability to manage time and data efficiently.

• Proven track record of consistently meeting deadlines and following up on tasks.

Please note that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• At least 5 years of relevant experience
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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 us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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 Responsibilities:

• Prepare ingredients by washing, peeling, and cutting vegetables, and meat.

• Maintain cleanliness and orderliness of the kitchen, including washing dishes, cleaning work surfaces, and sweeping floors.

• Assist Main chef with basic cooking tasks, such as boiling, frying, and sauce preparation.

• Ensure kitchen equipment is functioning properly and report any issues for repair.

• Manage inventory of ingredients and kitchen supplies, ensuring freshness and availability.

• Assist in plating and presenting dishes during busy periods.

• Adhere to kitchen safety and hygiene standards to prevent accidents and food contamination.

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

• Catalysts Synthesis
• Single Atom Catalysis
• Laser Scanning Ablation
• Polymer Synthesis
• Biomaterials Synthesis and Degradation
• Recycling and upcycling of polymers
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, or chemical engineering.
• Ample research experience in catalyst design and synthesis (particularly single atom catalysts and metal oxide catalysts), high entropy nanomaterials
• Ample research experience in polymer synthesis (particularly ATRP, RAFT and ROMP), biomaterials synthesis, and recycling and upcycling of polymers and biomaterials
• Solid background/experience in polymeric materials and polymer recycling and upcycling.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Information Systems and Analytics, 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 Fellow 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 emerging technologies for healthcare.

Key responsibilities:

• Familiarize with the research objectives and methodologies
• Conduct an in-depth literature review to identify gaps and opportunities in related work
• Initiate data collection and preprocessing for large-scale datasets from diverse domains
• Design, implement, and validate advanced models to address core research questions
• Develop initial drafts of research manuscripts based on findings

Qualifications

• A PhD degree in the relevant area (or be on track to acquiring one before starting as a Fellow)
• Have substantial experience in research.