49 Academic Research jobs in Singapore

The National University of Singapore invites applications for a two-year postdoctoral research fellowship, commencing in August 2025.

This position is funded by a grant exploring the ethics and evolution of punishment, with principal investigator Dr. Ryan Chisholm from the department of biology and co-investigators Dr. Ben Blumson from the department of philosophy and Dr. Shang-Long Yeo from the Center for Biomedical Ethics.

We are seeking highly motivated candidates specialising in ethics or philosophy of biology, with an interest in game-theory also being welcome.

• PhD in Philosophy or a related field

This appointment offers a unique opportunity to contribute to cutting-edge research in a dynamic and interdisciplinary environment.

• A detailed CV (required)
• A writing sample (required)
• Three letters of recommendation (recommended)
• A brief cover letter (optional)

Job Title: Data Analyst Trade Finance Operations

We are seeking a highly skilled data analyst to join our team. The ideal candidate will have experience in data analysis, preferably in banking/financial services.

Key Responsibilities:

• Analyse user correction logs by extracting and consolidating data from ClearTrade and vendor systems.
• Preprocess raw data by document type and field to support validation and deeper analysis.
• Work closely with operations teams to understand the root causes of corrections.
• Classify corrections into categories such as necessary (for ML training) or unnecessary (potential rule improvements).
• Summarize findings in clear, actionable formats for both vendor and user feedback.
• Collaborate with business users to understand operational logic and intent behind correction patterns.
• Coordinate with vendors to share insights and recommend improvements to machine learning or rule-based systems.
• Maintain comprehensive documentation of analysis progress and decision rationales.
• Provide regular updates, issue logs, and recommended action plans to senior stakeholders.

Required Skills and Qualifications:

• Bachelor's degree in any field.
• Familiarity with Trade Finance processes and documents (e.g., L/Cs, invoices, shipping documents).
• Minimum 3 years' experience in data analysis, preferably in banking/financial services.
• Ability to handle and interpret large data sets, especially operational or system log data.
• Proficient in English (written with excellent interpersonal skills to liaise with stakeholders).
• Excellent stakeholder engagement, problem-solving, and analytical thinking.
• Experience working with AIOCR systems or trade finance automation tools is a plus.

What We Offer:

• A dynamic work environment that fosters collaboration and innovation.
• The opportunity to work with a talented team of professionals who are passionate about data analysis.
• A competitive salary and benefits package.

How to Apply:

If you are a motivated and experienced data analyst looking for a new challenge, please submit your application.

We are seeking an experienced IT Business Data Process Analyst to enhance our team in Singapore.

• Analyzing current business processes, workflows, and procedures using Python data analysis techniques to identify areas for improvement.

• Leveraging data analytics and visualization skills to drive digitalization initiatives using Python and Tableau.
• Developing optimized processes and procedures to improve efficiency, productivity, and customer satisfaction.

• Bachelor's or master's degree in information technology, engineering, computer science, or related fields.
• At least 9 years of experience in business process data analysis and IT project management.
• Proficient in SQL data analysis and strong analytical skills with the ability to collect, study, and interpret complex data.
• Familiarity with process mapping and modeling techniques, as well as Incident/Problem/Change Management frameworks such as ITIL TQM or ISO 9000:2000.
• Excellent communication and teamwork skills, with proficiency in Microsoft Office suite, including advanced Excel, PowerPoint, and Visio.

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

We are seeking a highly skilled Data Analytics Specialist to join our team. The successful candidate will be responsible for driving our digital vision by leveraging technology, automation, and data analytics to enhance auditors' efficiency and effectiveness.

The ideal candidate will have a strong background in data pipeline construction and data lake management, as well as expertise in handling structured and unstructured data. They will also have excellent technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform.

In this role, you will work closely with Internal Auditors to analyze large data sets, trends and results to drive data-driven operational risk decisions. You will also be responsible for addressing data risks, including those related to PII (Personally Identifiable Information), and ensuring secure data handling throughout the pipeline.

You will be required to leverage data analytics for structured and unstructured data to identify patterns and anomalies and generate actionable insights to enhance risk and controls. This will involve using quantitative analysis methods for business decisions and applying data team's expertise to solve critical technical problems.

The successful candidate will have a Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience. They will also have a passion for delivering value and driving successful outcomes for the organization.

• Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience
• Proven expertise in data pipeline construction and data lake management
• Expertise in handling structured and unstructured data
• Strong technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform
• Excellent communication skills
• Leverage of Gen AI to expedite the delivery of solutions

This is an exciting opportunity to work with a leading organization and contribute to the development of innovative solutions. We offer a competitive salary package, comprehensive benefits, and opportunities for professional growth and development.

If you are a motivated and experienced data analytics professional looking for a new challenge, please apply today. We look forward to hearing from you!

**Job Description:**

We are seeking a motivated individual to join our team as a Data Analysis Specialist. This is an exciting opportunity to work closely with end-users and technical teams to translate business needs into actionable insights.

As a Data Analysis Specialist, you will be responsible for gathering and refining business and technical requirements with stakeholders. You will build and deploy data analytics solutions using structured frameworks, conduct audits and feasibility assessments, and perform data analysis to support decision-making.

**Required Skills and Qualifications:**

To be successful in this role, you will need:

• Degree/Diploma in Statistics, Computer Science, or related fields
• At least 2 years of relevant experience in data analytics roles
• Strong communication and stakeholder engagement skills
• Proficiency in using enterprise tools for dashboards, reporting, and data extraction

**Benefits:**

This role offers a challenging and rewarding career path with opportunities for growth and development. You will have the chance to work on high-profile projects and collaborate with cross-functional teams.

**What We Offer:**

We offer a competitive salary package, comprehensive benefits, and a supportive work environment. If you are passionate about data analysis and want to make a real impact, we encourage you to apply.

Tell us what skills you have

Machine Learning
Data Analysis
Trend
Big Data
Agile
ETL
Data Governance
Stakeholder Engagement
Data Engineering
Python
Audits
Statistics
Data Science
Product Development
Data Analytics
UAT testing
Business Model Development
Data Visualisation

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

About the Role

We are seeking a skilled Data Analysis Expert to join our organization. The successful candidate will play a pivotal role in detecting and preventing unauthorized privileged access, using advanced data analysis techniques to safeguard critical assets.

Key Responsibilities

• Design, develop, and deploy advanced models to detect anomalies and potential security breaches.
• Monitor, evaluate, and improve model performance to increase detection accuracy and minimize false positives.
• Collaborate with engineers to operationalize detection models into scalable, reliable production systems.
• Lead, mentor, and support team members to enhance technical capabilities.
• Translate complex findings into clear insights for both technical and non-technical audiences.
• Oversee project planning, timelines, and delivery of analytics solutions.

Qualifications & Skills

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in data analysis or machine learning.
• Strong expertise in anomaly detection, behavioral analytics, and classification models.
• Proficient in Python, R, and analytical libraries.
• Experience handling large-scale datasets, data pipelines, and cloud-based environments.

Benefits

• Collaborate with leading experts across data science, security, and engineering.
• Enjoy opportunities for leadership, innovation, and professional growth.

Others

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Core Responsibilities

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

Responsibilities

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.