The Early Mental Potential & Wellbeing Research Centre’s mission is to maximise every child’s mental and emotional capital by uplifting neurodevelopmental trajectories during early sensitive periods through interdisciplinary discovery science and translational technologies.
Toward this aim, we engage in 3 major activities and thrusts:
1) Core Discovery Research, Empowering Science: Basic neuroscience research and advanced computational models to understand individual neurocognitive potential, developmental trajectories, and risk and resilience factors;
2) Translation to Clinic & Pedagogy, Empowering Practitioners: Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings;
3) Translation to Real-World Technologies, Empowering Families: Creating scalable solutions and real-world technologies for parents to enhance their child’s mental and cognitive wellbeing at home.
We are looking for an experienced Research Engineer to work closely with a team of researchers, led by PI – Professor Victoria Leong and co-I – A/Prof Domenico Campolo, and to drive and fulfill research deliverables and milestones within a tight timeline. The postholder is expected to render research support to the research project team and collaborators, on basic and translational projects with a focus on early childhood development.
Key Responsibilities:
- Set up and perform experiments.
- Prepare support material and technical reports.
- Conduct equipment checks and perform preventive maintenance when required.
- Assisting in testing suitable ECG/EEG wearable systems for a more naturalistic experimental set-up (e.g.: at home recordings).
- Being proactive to resolve problems by examining and evaluating data, performing corrective steps is desired.
- Designing, upgrading, and maintaining synchronisation systems between different recording modalities in the lab such as audio, video, EEG and ECG.
- Designing, upgrading, and maintaining of the ECG and EEG preprocessing pipeline for adults and infants.
Job Requirements:
- Bachelor’s degree in Medicine, Computer Science, Engineering (preferably with 2 – 3 years’ experience) or Master’s Degree.
- Hands-on experience using equipment and strong knowledge on software for acquiring physiological signals such as EEG, ECG, and Brain Product Software.
- Strong analytical skills and experience/knowledge in EEG/ECG data collection and processing.
- Provide support for projects within the lab when following set protocols and procedures.
- Fluent in verbal and written communication.
- Robust analytical and problem-solving skills.
- Ability to work independently or as part of a team in a fast-paced environment, multitasking and managing tasks proactively.
- Experience working with human participants, including infants.
- Experience with video and audio recording, storage, and analysis.
- Strong knowledge on Matlab, R, Python, or similar programming languages.
- Hands-on experience with various electrophysiological devices including (but not limited) to EEG and ECG recordings is essential.
- Proficient in neurophysiological data collection, storage and analysis.
Experience working in a fast-paced commercial / industry setting is desirable. 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.
