47 Academic Research jobs in Singapore

The successful candidate will be employed as a postdoctoral research fellow to work in the area of submodularity and its applications in distributionally robust optimization. The job will be for a minimum of one year, with the possibility of extension up to three years.

Key Responsibilities:

• Work closely with the principal investigator on research projects related to submodularity and distributionally robust optimization.
• Conduct research, build models, and develop applications in the framework of submodularity and distributionally robust optimization.

Qualifications:

• PhD in a relevant field (e.g., operations research, computer science, mathematics).
• Strong background in optimization, algorithm design, and software development.
• Excellent problem-solving skills, with ability to analyze complex problems and develop innovative solutions.
• Excellent communication and teamwork skills, with ability to collaborate with researchers and engineers from diverse backgrounds.

Benefits:

• Opportunity to work on cutting-edge research projects in the field of submodularity and distributionally robust optimization.
• Average salary or benefits according to the current market.
• Access to state-of-the-art research infrastructure and resources.

Other Information:

This position is available immediately. Interested candidates should submit their application package, including a cover letter, CV, and contact information for at least two professional references.

We are seeking a distinguished Associate Professor to lead our research team in conducting high-quality scientific investigations and disseminating findings through journal articles.

• Direct and manage research teams to achieve exceptional outcomes, fostering a culture of innovation and excellence.
• Develop and present research results, identifying new ideas and securing funding opportunities to support continued growth.
• Apply qualitative and quantitative research methods, evaluating outcomes and contributing to teaching and mentoring programs.

Applicants should hold an awarded PhD with at least 10 years of relevant experience as accomplished researchers. The ideal candidate will demonstrate expertise in research leadership, with a proven ability to work harmoniously in a team environment.

• PhD with 10+ years of experience as an accomplished researcher.
• Demonstrate excellence in research with a long-term sustainable track record.
• Achieve research accomplishments with evidence of leadership and independent research funding.
• Drive research initiatives and contribute to creative professional activities.

Research Coordinator

The Research Coordinator will be responsible for conducting literature reviews and summarizing research findings for dissemination to the research team.

Liaising with research participants, collecting and analyzing data, performing statistical analyses, and managing administrative tasks are key responsibilities of this role.

• This position requires a strong background in research, data analysis, and communication skills.
• The ideal candidate will have experience working on research projects, collecting and analyzing qualitative and quantitative data, and possessing excellent interpersonal skills.
• A minimum of a bachelor's degree in education, psychology or related disciplines is required, along with proficiency in Microsoft Excel and other relevant software.

Education and Experience:

• Bachelor's degree in education, psychology or related fields.
• Minimum 2 years of research experience, preferably in educational or psychological settings.
• Strong analytical and problem-solving skills, with ability to collect and analyze data effectively.

Skills and Abilities:

• Excellent written and verbal communication skills.
• Proficient in Microsoft Office, particularly Excel.
• Ability to work independently and as part of a team.
• Familiarity with databases and statistical software is an asset.

As a member of our research team, you will have the opportunity to contribute to cutting-edge studies, develop your skills, and grow professionally. You will also enjoy a dynamic and collaborative work environment.

Applicants must be able to commit to a minimum of (insert timeframe) and be flexible to adapt to changing project requirements.

The SUTD has a unique structure and mission in Singapore. It integrates design with engineering, offers an intimate student-to-faculty ratio, innovative active learning pedagogy, interdisciplinary pillar organization, and beautiful campus.

The Engineering Systems and Design (ESD) pillar offers undergraduate and doctoral degrees focusing on Business Analytics, Operations Research, Financial Services, Supply Chain, Logistics, and Aviation Systems.

Candidates will have earned or be nearing completion of a doctorate in an engineering systems-related field with solid grounding in one or more systems methodologies including AI, Optimization, Stochastic Modelling, Statistics, Game Theory, Financial Engineering, and Simulation.

Successful candidates can look forward to competitive remuneration, assistance for relocation, and attractive research start-up packages through the SUTD Kickstarter Initiative (SKI) and grant opportunities.

This role involves contributing to cutting-edge research and teaching in an international setting. The ESD pillar emphasizes collaboration between academia and industry, with many faculty members having worked extensively in the field.

Overview

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.

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

• 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.

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.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

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

Requirements

• 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.

• 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.