PHD SCHOLARSHIP: SEIZURE DETECTION - Melbourne Region

 

About Seer

Seer is developing technology to revolutionise the diagnosis and management of neurological conditions, with a special focus on epilepsy. Our mission is to deliver deep personalised clinical insights and advance patient experience with leading-edge technology.

Our technology consists of wearable devices, a cloud platform and machine learning systems. These systems are at the core of our at-home video EEG monitoring and diagnostic service - the first of its kind. Seer has already made a big impact across the east coast of Australia over the last 2 years, and is now building for international expansion.

As we grow our business, we’re focussed on creating a collaborative work environment where everyone is empowered to do their best work and learn new skills and perspectives. We are committed to building a diverse team whose members help each other to grow. We’re searching for like-minded colleagues who are excited to apply technology to the healthcare industry and to make a meaningful difference in people’s lives.

Seer fosters a work environment that promotes innovation, yet keeps it fun with regular social events, a focus on diversity and inclusion, professional development and of course, the chance to work with the best people in the business.

About our product

We're building a web platform to power wearable and implantable devices that are about to enter the healthcare market. The platform stores and manages the biomedical data from these devices, allowing us to provide personalised insights, predictions and alerts to patients in real-time. The platform currently supports our at-home EEG-ECG diagnostic services and will soon support clinical trials of devices carried out by partner companies.

About the role

Epilepsy is a neurological disorder characterized by recurrent seizures that are transient symptoms of synchronous neuronal activity in the brain. Epilepsy is commonly diagnosed using electroencephalography, which captures abnormal brain activity. Epilepsy affects more than 50 million people worldwide. In the United States, it is estimated that 7 out of 1,000 people live with epilepsy, in Australia, over 225,000 people live with epilepsy and approximately 3% of Australians will experience epilepsy at some point in their lives. 

Electroencephalography (EEG) is often used to predict the commencement of a seizure, with varying success between participants. There is an increasing interest to use non-EEG body signals, including electrocardiogram (ECG) to help with seizures detection and prediction. 

The aim of this project is to use advanced signal processing and machine learning techniques to detect and predict seizures from EEG and ECG data recorded by Seer. The project scope also includes comparing features leaned by a machine learning algorithm that are distinct between three groups of people: epilepsy patients, people with syncope syndrome and healthy controls. 

The project is a collaboration between Swinburne University of Technology and Seer. The student scholarship is funded by Swinburne University of Technology, and data is provided by Seer. The student should have strong analytical skills and be interested working in a multidisciplinary environment.

Skills and experience

To be successful in this role you will need to demonstrate the following:

  • Bachelor (Honours) or Master degree (or equivalent) in Biomedical Engineering, Electrical and Electronic Engineering, Mathematics, Physics or similar discipline.

  • Passionate and have interest in pursuing PhD degree.

  • Able to conduct challenging research independently.

  • A team player who has good interpersonal skills and can collaborate well with others.

Benefits

  • We're a young company, so you'll have the opportunity to contribute to the overall direction of the business

  • Culture - we hire for attitude fit over specific skills, and we love colleagues who are ambitious to continue learning  

  • A fast-moving, collaborative and flexible work environment

  • Work alongside experts in neurophysiology, software development and machine learning

  • A professional development budget for conferences, courses, networking, etc.

  • A focus on diversity and inclusion

  • Be a part of something that matters - we’re building something that will have a big impact on the way neurological, cardiac and sleep disorders are diagnosed, treated, and managed on a global scale

Please note: while we value flexibility, we're not able to accommodate remote working at this time - this role is based at Seer HQ in Melbourne CBD, VIC.

Remuneration

SUPRA scholarship $27,082/year, 3 year

Application Process

Please apply by clicking here. If you’re unsure about the role or would like more information please contact Tatiana.

We are not interested in being contacted by recruiters about this position.

Contact

Tatiana Kameneva, tkameneva@swin.edu.au