Total 2,516 Science / R&D / Research job vacancies

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Research Assistant to work on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in machine learning, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Self-Motivated and takes initiative

We regret to inform you that only shortlisted candidates will be notified.

Responsibility:

• Call centre environment and handle customer calls.

• Inbound call handling for Bank's Accounts servicing, campaigns, products enquiries and helpdesk enquiries.
• Fulfillment follow through on case handling and with customers.
• Ensure group compliance and control standards are observed and met in the execution of customers’ enquiries, transaction requests and maintaining confidentiality of Bank and customers’ information.
• Ensures highest standard of service delivery to our customers.
• Maintains confidentiality of the Bank’s customers and data.
• Identifies and resolves customer issues and enquires received via calls platforms completely, accurately within the committed turnaround time and in accordance with Contact Centre standards to ensure contact handling accuracy and operational effectiveness
• Educates the customer about the Bank’s products and services and directs them toward available resources for self-help.
• Resolves customer enquiry, request and feedback to the satisfaction of the customer, and complete accurately the necessary documentation and subsequent solutions.

Requirements:

• Relevant work experience.
• Although preferred, previous experience in Call Centre, a financial services or Fraud setting is not essential. Our dedicated onsite Training team will provide you with a specifically designed training programme and support in your new role; and to enable you to develop and provide ongoing training for all team members.
• Ability to work on staggered shifts including weekends and Public Holidays to support Contact Centre service operations.
• Proficient in PC skills including MS Office applications.
• Excellent comprehension, communication, interpersonal skills and work etiquette.
• Multitasking, resourceful, proactive, results-driven, attentive to details and a good team player who likes to work in a fast-paced changing environment.

Other details:

• There will be a 5-weeks training programme whereby you will be required to pass a role-play and technical assessment in order to be posted to your work teams (2 attempts given).
• Must be comfortable with shift timing: Weekend / PH shift required (5-working days per week)
• Work hours: staggered shift hours of 8.5 working hours per day between 7AM-10PM + 1-hour meal
• Rest day and off day: scheduled by client (1 weekday + 1 weekend, non-consecutive)

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

To support the new research project titled: Singapore Parkinson's Disease Programme (SPARKLE) - Theme 5: Neurotech Intervention, we establish a sub-project on “Human Gait Detection via Acoustic-enabled Footstep Tracking under NTU-CCDS. In line with NTU’s vision and mission to nurture leaders through research, this project aims to attract both local and international talents with prior experience in relevant fields to achieve intended research output.

Key Responsibilities:

• To independently undertake research in artificial intelligence and computer vision tools.

• To use these tools for interpret the acoustic sensing results.

• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To attend, contribute, where necessary lead relevant meetings, and effectively interact with medical experts from SGH and NNI.

• To provide guidance and support to any students associated with the project.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Preferably PhD in Computer Science/Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth research experience in artificial intelligence and computer vision.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• High-level expertise in the required experiment or deep learning methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Manager-%28Research-Finance-Business-Partner%29/32439-en_GB/

We regret that only shortlisted candidates will be notified.

About Us

Join the National University of Singapore (NUS) Finance Team – Where Innovation Meets Excellence

At NUS, the Office of Finance stands as a dynamic and strategic partner, driving financial sustainability and operational excellence. Our team plays a crucial role in overseeing financial planning, optimising resources, and enabling the University’s ambition and innovation.

We are at the forefront of formulating, reviewing, and analysing the University’s operating, strategic, and capital budgets. Through strong governance, robust financial processes, and cutting-edge systems, we ensure every dollar is put to its best use, fueling research, education, and transformation.

Why Join Us?

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Synthetic-Biology%29/32543-en_GB/?st=CE0BDA30BE4AD6AC5B61B8605043C95E1BD51A7E

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking one (1) talented postdoctoral researcher to join the Synthetic Biology Translational Research Programme (TRP) at the National University of Singapore Yong Loo Lin School of Medicine. The Synthetic Biology TRP seeks to repurpose biology for positive clinical impact, specifically by developing next generation small molecule deliverables to enhance the resilience of host- or environment-associated microbial communities.

The Research Fellow (RF) will work closely with the Principal Investigator and the research team to characterize and engineer environmental small molecules as drivers of microbial communities. Appointments will be initially made on a 1-year contract, with the possibility of extension.

Responsibilities:

1. Determine how environmental small molecules affect complex microbial communities in vitro and in vivo;
2. Mentor research assistants, graduate, and undergraduate students;
3. Assist in any other duties delegated by the Principal Investigator and group leaders.

Qualifications

The ideal candidate will:

1. Hold a PhD in Chemistry, Biology, Genetics, Physiology, or a related (sub)field;
2. Possess strong hands-on experience in microbial cultivation, natural products chemistry, mouse models of disease;
3. Be proficient in designing and conducting experiments involving gene and protein expression, microbial cultivation, and data analysis;
4. Demonstrate the ability to work independently and collaboratively, with a high level of scientific rigor and attention to detail;
5. Have a track record of publications in reputable international journals.

Remuneration will be commensurate to the candidate's qualifications and experience. Informal enquiries are welcome and should be made to:

Ms. Suhana Sulaiman, at suhana_s@nus.edu.sg

Formal application: Please submit your application, indicating job reference number and current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees) to the NUS Career Portal. Only shortlisted candidates will be notified.

Responsibilities

• Developing new product according to development requests and involve in improvement of existing products
• Developing application recipes to optimize product design for new and existing products
• Look out for new trends and new products in the market
• Responsible for developing prototypes for customer in a given time frame
• Evaluation of new ingredient submissions
• Conduct food tasting and sensory evaluation
• Maintain proper documentation to support costing, lab scale formulation of new and existing products and any supporting documents.
• Work closely with inter-departments on the development and launch of new or improved recipes
• Perform ad-hoc duties assigned by immediate superior

Job Requirements

• Recognised culinary qualification or similar discipline
• At least 2 - 5 year of relevant experience in restaurant/ hotel business/ food manufacturing industry
• Experience in different Asian cuisine, bakery and Dim Sum would be useful for daily R&D work
• Passionate about food product development
• Creative in food preparation and presentation
• Meticulous with good organizational skills
• Team player with good interpersonal skills
• Proficient with Microsoft Office
• Proficient in Mandarin and English (spoken and written) as need to liaise daily with Mandarin and English speaking associates

For a quicker response, apply directly through our application portal: https://boards.briohr.com/teeyihjiafoodmanufacturingpteltd-32hw8fqhzn/details/679832023668ca000888465a

We have an openings for Research Fellow position at the Bio-inspired Robotics and Design Laboratory (https://brd.sutd.edu.sg) at SUTD.

The role:
The Research Fellow (RF) will support fundamental and applied research in dexterous manipulation and grasping by developing novel soft and hybrid mechanisms, actuation, and sensing technologies for next-generation applications in both harsh and delicate environments. The RF will be involved in projects with (1) a large NRF-funded CREATE program in collaboration with NTU and the Hebrew University of Jerusalem, and (2) the Port of Singapore.
We are looking for researchers with a passion for design and innovation and keen to work with a multi-disciplinary team.

Responsibilities:

• Motion and path planning for a variety of industrial grasping applications
• Robot Navigation and obstacle avoidance using multi-modal sensor feedbak
• Design and run manipulation and grasping experiments in both laboratory environments and real application
  environments

Key requirements:
• A Ph.D. degree in Mechanical Engineering, Robotics, or related fields• Experience with Simulation Tools (Isaac Sim, Gazebo, etc)
• Experience with SolidWorks
• Experience with Vision systems
• Familiarity with Soft Robotics and Additive Manufacturing processes is a plus but not a requirement

Key Responsibilities:

• The postdoctoral applicant must demonstrate commitment to co-create impactful discoveries in the microbiome gut-brain neuroscience field with us.

• In addition to being exceptionally motivated, having core skills for animal and lab work, and willing to work in our team and help with essential lab duties.

• The candidate must have experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics.

Key Competencies/Requirements:

• Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record

• Lead impactful work within the lab’s research theme on the microbiome gut brain neuroscience

• Exhibit proficiency in mice/rodent handling, optogenetics and behaviours, animal surgery and dissection

• Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics

• Be highly motivated and conscientious, able to work independently and with a team, and willing to teach, learn, and assist with essential lab duties

We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Research Associate to work on embodied intelligence. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in embodied intelligence, such as Vision-Language-Action (VLA) models.

Key Responsibilities:

The research associate will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Assisting with robot operation, debugging, and system integration

• Providing general support for the lab

Job Requirements:

• Master’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in machine learning, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Self-Motivated and takes initiative

We regret to inform you that only shortlisted candidates will be notified.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialization and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications

We are looking for a Research Fellow to conduct research. The role will focus on power grids.

Key Responsibilities:

• Conducting research in the area of power grid in the context of decarbonization
• Contributing in writing research proposals
• Writing research reports, deliverables and scientific publications
• Contributing in guiding research students at a Master or doctorate level
• Presenting research advances and outcomes at relevant events
• Coordinating the tackled research work with ERIAN/NTU researchers and other involved institutions
• Organize seminars and contribute to the scientific animation of ERIAN

Job Requirements:

• PhD (for Research Fellow and above equivalent) degree in power systems or related field
• At least 1 years of relevant experiences in power system modelling / technical hands-on experience in power grid dynamics and control
• Familiarity with power grid modelling tools
• Good written and oral communication skills
• Proficiency in numeric, analytical, and control skills
• Competent in team working, good interaction with funding institutions and industry
• Ability to work in autonomy, to respect timelines, to be well organized, to report on a regular basis to the management, to continue to learn
• Leadership Competency:
  Ability to build rapport and influence stakeholders at all levels
  Ability to work collaboratively in a fast-paced environment.
  Ability to establish network of contacts in the region and search for funding at all levels
  Ability to lead business meetings and seminars.

We regret to inform that only shortlisted candidates will be notified.

Role Overview
The Financial Controller is responsible for overseeing end‑to‑end financial operations, statutory compliance, internal controls and financial reporting. The role operates within a complex, matrixed multinational environment and partners closely with regional and global stakeholders to support growth, profitability and operational excellence across customer‑facing, manufacturing & R&D activities.

The successful candidate will combine strong technical accounting expertise with commercial acumen, systems proficiency, and hands‑on leadership, enabling high‑quality execution in a fast‑paced, capital‑intensive and compliance‑driven industry.

Key Responsibilities
Financial Reporting, Controls & Compliance

• Lead monthly, quarterly, and annual financial close processes, ensuring accuracy, timeliness and integrity of results
• Prepare and review financial statements in accordance with US-GAAP & IFRS corporate accounting policies
• Ensure compliance with statutory, tax and GST requirements for the legal entities
• Own SOX/ internal controls across finance and operational processes, including audit walkthroughs, documentation, testing support and remediation
• Serve as the local accountable executive to external auditors for statutory audits and maintaining strong audit outcomes

Accounting Operations for Manufacturing & Tech Environments

• Oversee accounting for complex transactions including:
  Revenue recognition for equipment, spares, services and long‑term arrangements
  Intercompany transactions, transfer pricing and cross‑border activities
• Ensure balance sheet integrity across high‑value assets, accruals and provisions
• Support entity lifecycle activities including entity setup, liquidation and restructuring as required

Financial Planning, Forecasting &Business Partnering

• Partner closely with Operations, Sales to:
  Drive accurate forecasting of revenue, cost of goods sold and operating expenses
  Support profitability, margin improvement and cost optimization initiatives
• Lead budgeting and forecasting cycles in dynamic, fast‑moving business environments
• Deliver timely, actionable financial analytics to senior and regional leadership

Systems, Process & Automation

• Drive continuous improvement initiatives across finance, including:
  Digital transformation
  Automation of reporting, reconciliation and analytics
  Reduction of manual processes and control risks
• Serve as finance lead for ERP and reporting systems (e.g. SAP, ECC, Adaptive, Power BI)
• Partner with global teams on finance transformation, data governance and system enhancements

Leadership & Stakeholder Management

• Lead, mentor and develop a high‑performing finance team in the region
• Foster a culture of accountability, quality and continuous improvement
• Collaborate effectively with regional and global finance & operations teams across the region
• Serve as a trusted finance partner to senior management in a matrixed multinational organization

Qualifications & Experience
- Bachelor’s degree in accounting, Finance, or related discipline
- Professional accounting qualification (ISCA, ACCA, CPA, CA, or equivalent)
- 15–20+ years of progressive finance and accounting experience within semiconductor, manufacturing, or technology MNCs
- Deep expertise in:
Financial reporting and statutory compliance
SOX/ internal controls
Consolidation and regional accounting
Manufacturing or technology business models
- Strong experience operating in complex, matrix organizations with global stakeholders
- Advanced proficiency in ERP systems (SAP preferred) and financial reporting/ BI tools

Key Competencies
- Strong technical accounting and compliance expertise
- Solid understanding of manufacturing, supply chain, and technology business drivers. Commercial mindset with strong business partnering skills
- Proven leadership and people development capability
- High attention to detail, resilience and ability to operate in fast‑paced environments
- Track record of driving process optimization and automation in global settings

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Ophthalmology%29/32547-en_GB/?st=424AA0E30D589508E8D4763F4BA1235ACF8B652E

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for position of Research Associate in the Department of Ophthalmology, Yong Loo Lin School of Medicine.  Appointments will be made on a 1 year contract basis in the first instance, with the possibility of extension.

Purpose of the post: The Research Associate will join my research team focusing on trustworthy multimodal artificial intelligence for healthcare. The successful candidate will contribute to the development of next-generation medical AI systems, with a particular focus on vision–language foundation models, multimodal learning across medical imaging modalities (e.g., fundus, OCT, MRI), and clinically deployable AI solutions. The position offers a unique opportunity to work at the intersection of cutting-edge AI research and real-world clinical translation.

Main duties and responsibilities:

Conduct research on medical image analysis, multimodal learning, and vision–language models

• Develop and implement deep learning models using frameworks such as PyTorch
• Work with large-scale medical datasets, including data preprocessing, curation, and evaluation
• Collaborate with clinicians and interdisciplinary teams to design clinically relevant AI solutions
• Contribute to research publications in top-tier journals and conferences (e.g., MICCAI, CVPR, TMI)
• Assist in project coordination and support grant-related research activities

Qualifications

The applicant should:

(a) Hold a Master’s degree in Computer Science, Statistics, Artificial Intelligence, Software Engineering, or a related field, with a strong academic record;

(b) Have strong programming skills in Python and experience in machine learning and data analysis (e.g., PyTorch, scikit-learn, pandas, NumPy), with solid foundations in statistical modeling and inference;

(c) Demonstrate hands-on experience in developing AI systems or applications (e.g., AI agents, knowledge-based systems, or full-stack AI platforms), with the ability to translate algorithms into practical solutions;

(d) Possess experience in software development (e.g., web technologies, system design, or scalable applications), which is advantageous for building deployable AI tools;

(e) Show strong analytical thinking and problem-solving skills, with attention to detail and the ability to work both independently and collaboratively in a multidisciplinary research environment;

(f) Have prior exposure to research activities (e.g., publications, research projects, or mathematical modeling competitions), which will be considered a strong advantage;

(g) Have good written and verbal communication skills in English.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Diagnostic-Radiology%29/32548-en_GB/?st=188CD011B6DD33446DD894ED5225F5F61C096B93

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. The Department of Diagnostic Radiology is committed to advancing imaging sciences for precision medicine, with strengths in medical image analysis, neuroimaging, and AI-driven healthcare. Our faculty collaborates widely with engineering and computational sciences, and we host specialized research facilities including PET/CT imaging development and advanced image computing platforms. More information on the department is available at https://medicine.nus.edu.sg/meddnr/about-us-staff.html.

Appointments will be made on a one-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will support projects in medical image analysis and AI-driven healthcare research, working closely with the Principal Investigator and research team. The RA’s role will include assisting with data processing, algorithm development, and research support for ongoing imaging projects. Specifically, the RA will:

1. Support research activities in medical imaging and AI, including data curation, preprocessing, and analysis.
2. Assist in the development, testing, and validation of computational models for imaging applications.
3. Conduct literature reviews and contribute to the preparation of manuscripts, reports, and presentations.

Qualifications

The applicant should:

(a) Hold at least a Bachelor’s degree in a relevant discipline (e.g., computer science, biomedical engineering, electrical engineering, or related fields).

(b) Have research interest or prior experience in areas such as medical imaging, computer vision, artificial intelligence, or machine learning.

(c) Be proficient in programming and data analysis, and familiar with common tools for image processing.

(e) Possess good written and verbal communication skills.

Remuneration will be commensurate with the candidate's qualifications and experience.

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-in-Institute-of-South-Asian-Studies-%28South-Asia%29/32536-en_GB/

We regret that only shortlisted candidates will be notified.

Research Assistants (South Asia)

Established in 2004, the Institute of South Asian Studies (ISAS) is an autonomous research institute at the National University of Singapore. It is dedicated to research on contemporary South Asia. The Institute seeks to promote understanding of this vital region of the world, and to communicate knowledge and insights about it to policy makers, the business community, academia and civil society, in Singapore and beyond.

The Institute of South Asian Studies (ISAS) at the National University of Singapore is seeking to appoint two Research Assistants to its research team.

Focus Areas

Candidates should have research interests in one or more of the following areas relating to South Asia:

• International Relations, Multipolarity and Multilateralism
• Politics, Society and Governance
• Trade and Economics
• Strategic Technologies
• Sustainability and the Environment

Requirements

• A Bachelor’s or Master’s degree in International Relations, South Asian Studies or a related discipline
• Strong theoretical and empirical grounding in South Asian politics, society, economics, development and/or international relations
• Demonstrated research and writing abilities, preferably with a focus on South Asia

Application

Interested candidates are invited to submit their cover letter, detailed curriculum vitae and a writing sample (an authored article related to South Asia) in PDF attachment to the NUS Career Portal.

Remuneration will commensurate with qualifications and experience.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-2%2C-Dept-of-Finance/32528-en_GB/?st=9A6A65AE8A28B5EE49D54E569CB30C23403DC96A

We regret that only shortlisted candidates will be notified.

Job Description

I am looking for up to two highly skilled and motivated individuals to work with me as full-time research professionals. 

You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s research agenda on macro-financial linkages and historical macroeconomic statistics. This work uses macro and micro data and cutting-edge statistical methods to understand when credit booms endanger financial stability, what the sources of long-run growth are, and how boom-bust cycles can shape the economy of a country for decades. Among other things, you will help to (a) construct novel data sources to measure credit market conditions and historical macroeconomic outcomes, (b) analyse data to understand the role of financial frictions on firm outcomes, and (c) help estimate measures of economic activity ranging back centuries for many countries. 
 
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. You will have access to resources, including part-time research assistants, and collaborate closely with other members of Professor Müller’s lab. The most important requirement for this position is that you are highly ambitious and eager to learn, and you should ideally bring a proven an interest in economic research. 

The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.

Qualifications
Ideal candidates will:
(i)    have a strong background in economics, finance, or data science; 
(ii)    have a proven interest in economic questions, and an interest potentially pursuing an academic path;
(iii)    be able to work independently to solve problems; and
(iv)    be highly organized and pay attention to details.

A background in economics or finance is a plus but not necessary. I have often worked with computer science or data science students as well. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed. 

Candidates should submit the following documents:
•    Cover letter and resume
•    Transcripts from previous academic programs, where relevant
•    If available: A research paper (undergrad thesis, term paper, etc.)

Applications will be reviewed on a rolling basis.

Working Conditions
Office, library, computer room

Physical Effort
Typically sitting at a desk or table

Department / School
NUS Business School

Pay
Competitive with other world-leading research universities

Special Requirements 
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.