66 Scientific Computing jobs in Singapore

Assoc Prof / Full Professor in Optimization, Control, and Scientific Computing

Location: NTU Main Campus, Singapore

Time Type: Full time

Posted on: Posted 2 Days Ago

Job Requisition ID: R00019028

School of Physical and Mathematical Sciences (SPMS)

Nanyang Technological University, Singapore

Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked among the world’s top universities. The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

The School of Physical and Mathematical Sciences at NTU offers multidisciplinary academic programs that provide students with a wide-ranging and up-to-date education. They offer undergraduate training leading to BSc (Hons) and graduate training leading to MSc and PhD degrees.

We invite applications for an Associate / Full Professor position specializing in Optimization, Control, and Scientific Computing . We are looking for world-class candidates with expertise in the computational aspects of algorithmic design and a strong focus on applying these skills to real-world problems. The successful candidate will be expected to teach both undergraduate and postgraduate courses in applied mathematics, conduct high-quality research in computation-specific areas of optimization and its interactions with other domains, such as scientific computing and scientific machine learning, and promote interdisciplinary collaboration among the disciplines of mathematics, computer science, and engineering. Candidates with strong academic portfolios are encouraged to apply. We are particularly interested in candidates who have extensive experience in consulting and collaborating with data-related industries such as AI and cloud computing.

The candidates are expected to:

• Establish a world-class research programme.
• Enhance the College’s visibility as an international leader in education and research.
• Secure research funding from competitive grants and industry partnerships.
• Mentor and supervise graduate students and postdoctoral researchers.
• Collaborate with interdisciplinary teams within the university and with external partners.
• Deliver engaging and effective teaching to both undergraduate and graduate students.
• Undertake essential administrative responsibilities within the Schools.

Requirements:

• PhD in mathematics or a related subject.
• Strong research record and relevant publications in reputable peer-reviewed international journals and conferences.
• A good track record of supervising research staff, postdocs, students, and interns in relevant fields.
• Experienced in cross-disciplinary research initiatives and collaboration.
• Demonstrated excellence in research, evidenced by a strong publication record in reputable journals.
• Recognition in the research community, such as invited talks, awards, or memberships in professional societies.
• Proven ability to secure research funding.

Application Procedure

Required application documents:

• Cover letter.
• Curriculum Vitae, including a full publication list.
• Statement of current and future research interest.
• Teaching statement.
• Names of at least four referees.

For any enquiries, please contact Bernhard Schmidt at .

Key Learning Objectives:

• Understand multimodal AI fundamentals
• Learn data preprocessing for multiple modalities
• Apply machine learning & deep learning concepts
• Develop model evaluation skills
• Understand how algorithm development fits into product pipelines

Intern's Responsibilities:

• Assist in data handling
• Support algorithm development
• Run experiments & document results
• Review relevant literature, summarize findings and propose ideas for improvement
• Ensure code and data management standards

Training and Development:

• Software tools: git for version control
• ML/DL framework: pytorch/tensorflow
• Soft skills: agile project workflow, documentation & reporting, literature (papers/patents) review skills
• Involvement in new stress algo development

Benefits:

• Allowance Provided – Interns will receive a monthly allowance to support their contributions.
• Paid Annual Leave – Applicable to interns who complete more than 3 months of service.
• Supportive Culture – Join a vibrant team environment that champions continuous learning, collaboration, and growth.
• Global Exposure – Gain experience working within a well-established Japanese multinational corporation.
• Supportive Environment – Enjoy guidance from approachable supervisors and camaraderie with friendly high caliber colleagues.

Algorithm Development And Firmware Implementation Engineer
Join to apply for the
Algorithm Development And Firmware Implementation Engineer
role at
DSO National Laboratories .
DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the mission to develop technological solutions to enhance Singapore's national security. At DSO, you will have the opportunity to make a significant impact and shape the future of defence across air, land, sea, space, and cyberspace.
The Electronic Systems Division focuses on electronic warfare systems using radio frequency and microelectronics technologies to achieve electromagnetic superiority.
We value our people highly. You will have the chance to develop your career either as a technical expert or a team leader, supported by career dialogues, training, and development programs. Competitive remuneration and scholarship opportunities are also available.
Responsibilities
Design and develop system algorithms
Conceptualize, design, and implement signal and data processing algorithms in firmware
Collaborate with firmware, RF, digital, and software engineers to integrate and test algorithms in labs and platforms
Job Requirements
Degree or Master in Electrical and Computer Engineering or Electrical and Electronic Engineering
Experience with MATLAB and Python programming
Knowledge of digital signal processing, machine learning algorithms, and firmware implementation
Strong analytical skills
Additional Information
Seniority level: Entry level
Employment type: Full-time
Job function: Other
Industry: Defense and Space Manufacturing
This job posting is active. Referrals can increase your chances of interviewing at DSO National Laboratories by 2x.
#J-18808-Ljbffr

Key Learning Objectives:

• Understand multimodal AI fundamentals
• Learn data preprocessing for multiple modalities
• Apply machine learning & deep learning concepts
• Develop model evaluation skills
• Understand how algorithm development fits into product pipelines

Intern’s Responsibilities:

• Assist in data handling
• Support algorithm development
• Run experiments & document results
• Review relevant literature, summarize findings and propose ideas for improvement
• Ensure code and data management standards

Training and Development:

• Software tools: git for version control
• ML/DL framework: pytorch/tensorflow
• Soft skills: agile project workflow, documentation & reporting, literature (papers/patents) review skills
• Involvement in new stress algo development

Benefits:

• Allowance Provided – Interns will receive a monthly allowance to support their contributions.
• Paid Annual Leave – Applicable to interns who complete more than 3 months of service.
• Supportive Culture – Join a vibrant team environment that champions continuous learning, collaboration, and growth.
• Global Exposure – Gain experience working within a well-established Japanese multinational corporation.
• Supportive Environment – Enjoy guidance from approachable supervisors and camaraderie with friendly high caliber colleagues.

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.

Join as a Data Analysis Assistant and contribute to operational support, data analysis, and stakeholder engagement within a meaningful public sector environment. This role is ideal for diploma holders seeking exposure to analytics, coordination work, and regulatory operations.

• Perform data cleaning and collation across multiple datasets to ensure quality and consistency
• Support the implementation of data analytics and visualisation tools
• Compile and organise daily feedback from operational teams
• Handle various administrative functions, including stakeholder management with licensees and maintaining updated records of accredited establishments
• Coordinate industry engagement activities and support outreach programmes
• Assist with public/stakeholder engagement logistics, including invitation, registration, and follow-ups
• Provide general administrative and project support as required

• Proficient in data analysis tools and software, including:
  
  Microsoft Office Suite (PowerPoint, Excel, Word)
  
  Power BI and Power Query
  
  Knowledge in Python is a plus
• Strong attention to detail
• Excellent time management and ability to prioritise multiple tasks
• Adaptable and flexible with changing work requirements
• Able to work independently and collaboratively
• Good communication skills (written and spoken)

• Gain real-world experience in data operations and stakeholder engagement
• Learn from cross-functional projects within a regulatory and public service context
• Competitive hourly pay with opportunities to grow soft and technical skills

Apply now if you're a proactive, detail-oriented team player looking for short-term meaningful work with real impact.

Job Summary

We are seeking a skilled Data Analyst to join our team. The ideal candidate will have experience in data management, performance reporting, and budget planning.

About the Role

The Data Analyst will be responsible for collaborating with regional stakeholders to collect and analyze KPI metrics data. They will also work with the Data Analytics Team to develop management dashboards for performance reporting purposes.

Key Responsibilities

• Data Management: Collect and analyze KPI metrics data from regional stakeholders.
• Performance Reporting: Develop management dashboards for performance reporting purposes.
• Budget Planning: Manage budgets and forecast future financial performance.

Requirements

1. Diploma/Degree in Business Administration, Banking, or Finance.
2. Minimum 1 year of experience in performance reporting or planning, preferably in the financial industry.
3. Excellent working knowledge of MS Excel.
4. Fast learner with a curious mind and structured approach to task execution.
5. Strong analytical skills and attention to detail.
6. Excellent communication skills with various stakeholders.
7. Good attitude and ability to maintain confidentiality.
8. Strong interpersonal skills and ability to multitask.

About Us

We offer a dynamic work environment and opportunities for professional growth and development. If you are a motivated and detail-oriented individual who is passionate about data analysis, we encourage you to apply.

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.

Job Summary

We are seeking a skilled Data Analytics Professional to join our team. As a key member of the organization, you will be responsible for developing and maintaining profiling tools to support systematic planning and targeted care delivery.

Your expertise in data analysis and reporting will enable you to consolidate and analyze performance indicators related to population health, ensuring accurate and timely insights.

You will also coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics, handling requests for data and analytics with precision.

In this role, you will contribute to projects addressing clinical, preventative, social, environmental, and behavioural determinants of health, providing administrative and operational support as assigned.

Key Responsibilities:

• Develop, maintain, and improve profiling tools to support systematic planning and targeted care delivery
• Consolidate, analyze, and report on performance indicators related to population health
• Coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics
• Handle requests for data and analytics, ensuring accuracy, timeliness, and relevance

Requirements:

· Bachelor's degree in Mathematics, Public Health, Statistics, or related discipline preferred

· Proficiency in Microsoft Office (Word, Excel, PowerPoint) required; experience with analytics and visualization tools (e.g., Tableau, Power BI) is an advantage