BEMÆRK: Ansøgningsfristen er overskredet
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position is available from 01 September 2023 or later.
Title
Machine learning based biomarkers for neurodegenerative diseases
Research area and project description
Applicants are invited for a PhD position within the Center for Ear-EEG at Department of Electrical and Computer Engineering at Aarhus University, see https://ece.au.dk/en/research/research-centres/center-for-ear-eeg.
Ear-EEG enables discreet and unobtrusive monitoring of brain activities from electrodes placed in and around the ear. The vision of ear-EEG is to enable brain monitoring in real-life. Ear-EEG has a wide range of potential applications within health monitoring, brain computer interfaces, hearing prosthetic devices, sleep monitoring and consumer products.
The PhD-project is a part of a larger research project with the aim of finding early biomarkers of neurodegenerative diseases. The project is focusing on the two largest neurodegenerative diseases, Alzheimer’s and Parkinson’s disease.
The focus of the PhD project is development of machine learning methods to identify pathology specific patterns in longitudinal physiological time series. The physiological signals comprise electroencephalographic, specifically ear-EEG, and other sensor signals related to the respiratory and cardiovascular system.
Project description. For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application.
Qualifications and specific competences
M.Sc. degree in Electrical Engineering, Computer Engineering, Data Science, Biomedical Engineering or related field. The candidate should have a solid background and interest in data analytics, signal processing and machine learning. The applicant must have good oral and written communications skills and be proficient English speaker.
Place of employment and place of work
The place of employment is Aarhus University, and the place of work is Finlandsgade 22, 8200 Aarhus N., Denmark.
Contacts
Applicants seeking further information are invited to contact:
- Professor Preben Kidmose, pki@ece.au.dk
Please follow this link to submit your application.
Application deadline is 15 June 2023 at 23:59.
Preferred starting date is 01 September 2023.
For information about application requirements and mandatory attachments, please see our application guide.
Please note:
- The programme committee may request further information or invite the applicant to attend an interview.
- Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Aarhus Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aarhus Universitet, Finlandsgade 22, 8200 Aarhus N
-Ansøgning:
Ansøgningsfrist: 15-06-2023; - ansøgningsfristen er overskredet
Ved skriftlig henvendelse: https://app.researchplanner.net/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?PortalID=16581&VacatureID=1083029
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5834974
