Careers

We are looking for a Software Engineering Manager to partner with product management and engineering teams to lead a complex, multi-disciplinary project, together with PI – Professor Victoria Leong and co-I – Associate Professor Domenico Campolo. This role requires an individual with a strong technical background, exceptional project management skills, and the ability to drive collaboration across various teams. The ideal candidate will also act as the Head Engineer / Tech Project Manager, interfacing between external consultants and internal staff, writing and overseeing the entire algorithm pipeline, and managing the people involved in writing the code.

Key responsibilities include:

• Be both highly technical and an effective people manager.
• Be a subject matter expert in a product domain.
• Lead teams that deliver on multiple projects with increasing dependencies in an ambiguous or high-impact area.
• Drive roadmap creation and execution.
• Participate in technical software design.
• Measure the impact of your team and set clear expectations and goals.
• Work effectively with cross-functional teams to set and achieve optimal outcomes.
• Partner with leadership to influence and drive organizational design, contribution, and prioritization.
• Act as the interface between external consultants and internal staff.
• Build and oversee the entire algorithm pipeline scheme (inputs, outputs, and connections between various domains) of the software.
• Supervise and manage the individuals code writing of Software Engineers.

Experience working in a fast-paced commercial / industry setting is desirable. Candidates with a proven track-record in one or more of these areas are welcome to apply - Refer to this LINK for more info.

We will begin reviewing applications from July 2024 onwards, until the position is filled, and regret to inform that only shortlisted candidates will be notified.

We are looking for an experienced full-time Research Fellow to work closely with a team of researchers, led by PI - Professor Victoria Leong, and to drive and fulfill research deliverables and milestones within a tight timeline. 

The candidate is expected to render strong research support to the Centre’s Director, Professor Victoria Leong and collaborators, on basic and translational projects with a focus on early childhood development. Experience with coordinating complex / multi-stakeholder research projects (on an international level) is desirable.

The successful candidate will lead data collection efforts for research studies to be conducted in Singapore, lead data analysis in selected core sociometrics domains and work closely with the computational modelling team to learn patterns or profiles that can be used to predict a child’s developing cognition. In addition, the successful candidate will work closely with PI and administrative team to render strong administrative support and to ensure timely scientific and financial reporting to the funder. 

Experience of project management in a commercial / industry setting is highly desirable. The successful candidate may also assist with research dissemination activities, which may include workshops, seminars and public outreach activities.

Interested applicants are encourage to send in their applications via NTU online portal – Refer to this LINK for more info. We will begin reviewing applications from June 2024 onwards, until the position is filled, and only shortlisted candidates will be notified.  

We are looking for an experienced Research Assistant (Psychology) to assist Prof Victoria Leong to conduct focus groups with parents, clinicians and stakeholders on the adoption of the SPRINT intervention. The successful candidate is expected to:  

• Assist in the setup and execution of experiments; 
• Ensure that all experimental protocols are followed; 
• Plan, prepare, and run focus group activities with parents, clinicians and other interested parties; 
• Collect, record, and maintain accurate data from experiments; 
• Assist in data analysis and the preparation of reports and presentations for dissemination; 
• Monitor project timelines and milestones, and prepare reports for regular review. 

We regret that only shortlisted candidates will be notified. 

Interested applicants are encourage to send in their applications via NTU online portal – Refer to this LINK for more info. We will begin reviewing applications from June 2024 onwards, until all positions are filled, and only shortlisted candidates will be notified.  

We are looking for an experienced Research Assistant to assist Dr Akshar Saxena to conduct economic health assessments, cost-effectiveness analysis, and Markov modelling of treatment processes. The postholder will conduct economic evaluation of the healthcare interventions using Markov modelling, and will contribute to economic modelling for cost-effectiveness analysis.

Key Responsibilities include:

• Conduct economic analysis of healthcare expenditure data from existing dataset;

• Forecast the estimated healthcare expenditure for participants in research projects;

• Build Markov model(s) with counterfactual scenarios (varying levels of healthcare intervention) and forecast the healthcare expenditure and health outcomes;

• Conduct cost-effectiveness analysis of the alternative healthcare interventions.

Candidates with a proven track-record in one or more of these areas are welcome to apply - Refer to this LINK for more info. We will begin reviewing applications from July 2024 onwards, until the position is filled, and regret to inform that only shortlisted candidates will be notified.

We are seeking a Research Engineer (Audio AI Engineer) to design and implement advanced audio and machine learning models to enhance audio quality in our innovative projects. The postholder will be responsible for developing and optimizing algorithms for audio processing, contributing to both audio research and software development. The postholder will be working closely with PI – Professor Victoria Leong and co-I – Associate Professor Domenico Campolo. 

Key Responsibilities include:

• Design and implement advanced audio and machine learning models for various applications, including Noise Suppression, Speaker Recognition, and Voice Activity Detection.
• Collaborate with our engineers to build large audio models and optimize audio generation.
• Develop unimodal and multimodal models for audio technology development and algorithm implementation.
• Analyze and process large-scale audio materials to maintain high-quality audio standards.
• Research and optimize audio generation models, converting the latest research findings into practical product features.
• Stay informed about the latest research developments in audio technology to ensure our solutions remain cutting-edge.

Experience of working in a fast-paced commercial / industry setting is desirable. Candidates with a proven track-record in one or more of these areas are welcome to apply - Refer to this LINK for more info.

We will begin reviewing applications from July 2024 onwards, until the position is filled, and regret to inform that only shortlisted candidates will be notified.

We are looking for a Computer Vision (Pose Estimation) engineer reporting to PI – Professor Victoria Leong, Assistant Professor Liu Ziwei and research teams on developing a fully automated end-to-end ML algorithm to estimate pose in dyadic sociometric measurements during parent-child interactions. This is a research collaboration aimed at yielding a larger data pipeline to predict trajectories for early childhood development. 

Key Responsibilities include:

• Designing, implementing, and optimizing pose estimation algorithms for various applications within our technology stack;
• Collaborating with hardware and software teams to integrate computer vision solutions into real-world systems;
• Conducting research to stay up-to-date with the latest advancements in computer vision and pose estimation;
• Analysing and enhancing the performance of existing pose estimation models through iterative testing and optimization;
• Working closely with data scientists and machine learning engineers to develop and train models using diverse datasets;
• Collaborating with the product team to understand and define the requirements for new features and functionalities related to pose estimation;
• Proven work experience in 2D and 3D pose estimation, 3D pose recreation, and multiple camera system experience;
• Familiarity with GPU programming and parallel computing for efficient algorithm implementation;
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field);
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team;
• Ability and willingness to work some flexible hours.

Experience working in a fast-paced commercial / industry setting is desirable. Candidates with a proven track-record in one or more of these areas are welcome to apply - Refer to this link for more info.

We will begin reviewing applications from Aug/Sep 2024 onwards, until the position is filled, and regret to inform that only shortlisted candidates will be notified.

We are looking for an experienced Project Officer to assist with the manufacturing and testing of the instrumented toys, user interface and with sensor data analysis for a research project on “Sociometric Play-based Remediation of Individual Neurodevelopmental Trajectories (SPRINT)”.

The successful candidate is expected to ensure that all experimental activities are carried out efficiently, on schedule, and in compliance with institutional safety and ethical standards. The Project Officer will contribute directly to the success of the research initiatives, performing experiment and analyzing test data as part of the funded program.

Key Responsibilities include:

• Assist in the setup and execution of experiments. Ensure that all experimental protocols are followed; 

• Design and fabricate samples and prototypes.

• Manage and utilize advanced manufacturing techniques including additive manufacturing processes of polymer and multi-materials.

• Develop other fabrication technique where necessary.

• Perform mechanical testing, such as tensile, bending, DSC testing on the printed material and structures

• Collect, record, and maintain accurate data from experiments. Assist in data analysis and the preparation of reports and presentations for dissemination.

• Coordinate the procurement and maintenance of research materials and equipment. Manage inventory and ensure that supplies are available as needed for the research activities.

• Monitor project timelines and milestones, prepare report for regular review.

Candidates with a proven track-record in one or more of these areas are welcome to apply - Refer to this LINK for more info. We will begin reviewing applications from July 2024 onwards, until the position is filled, and regret to inform that only shortlisted candidates will be notified.