University of Gothenburg seeks Biosignal Engineer

The University of Gothenburg meets societal challenges with diverse knowledge. With 56,000 students and 6,600 employees, the university is a large and inspiring workplace. Strong research and attractive education attract researchers and students from all over the world. With new knowledge and new perspectives, the University of Gothenburg contributes to a better future.

At the Department of Medicine, Division of Internal Medicine and Clinical Nutrition, research is conducted in several areas such as osteoporosis, endocrinology, hematology, gastroenterology, hypertension, pulmonary medicine, and allergology, as well as clinical nutrition with a research focus on body composition and energy metabolism. The research is conducted in close collaboration with healthcare at both Sahlgrenska University Hospital and Mölndal Hospital.

Sleep is crucial for our health and well-being. During sleep, the body recovers, the brain processes information, and memories are consolidated. Sleep disorders such as sleep apnea and insomnia can seriously affect quality of life and lead to long-term health problems such as cardiovascular diseases and diabetes. Therefore, sleep research is important for understanding the mechanisms behind sleep and developing effective treatments for sleep disorders, which can improve both individual health and societal productivity.

The Center for Sleep and Wake Disorders at Sahlgrenska Academy has been conducting translational research in the field for several decades and is seeking a biosignal engineer for advanced analysis of sleep, respiratory, and cardiovascular biosignals. The group is interdisciplinary and works with epidemiological, mechanistic, diagnostic, and therapeutic studies around clinically significant sleep and wake disorders such as sleep apnea and insomnia.

Job Responsibilities

The researcher will analyze and quantify long-term measurements of respiratory, cardiovascular, and neurophysiological biosignals from sleep studies. Utilizing new analytical methods in the form of machine learning and artificial intelligence for improved endotyping and phenotyping of the respiratory and cardiovascular systems during different sleep stages. Advanced statistical models will need to be used to link these phenotypic characteristics to clinical outcomes in patients with sleep disorders.

Qualifications

A PhD in medical biosignal analysis is required. Experience in analyzing sleep parameters (respiration, cardiovascular, and neurophysiological signals) is highly meritorious. Knowledge of MATLAB, Python, and statistical programs such as R or STATA is advantageous. It is important that the applicant can collaborate well with other researchers and clinicians within a larger team. The applicant must be able to express themselves in English both in writing and speaking. Great emphasis is placed on personal suitability, such as initiative and flexibility.

Employment

Employment type: Fixed-term employment, 11 months
Scope: 100 %
Location: Department of Medicine, Gothenburg
Start date: As soon as possible or by agreement

Contact Information for the Position

Ludger Grote
Professor
+46(0)70-97 98 111
[email protected]

Madeleine Rådinger
Assistant Head of Department
[email protected]

Trade Unions

Union representatives at the University of Gothenburg can be found here: Union Representatives (https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande)

Application

Proof of PhD must be attached to the application.

You apply for the position via the University of Gothenburg's recruitment portal by registering your application electronically via the website: Recruitment Portal (https://www.gu.se/om-universitetet/jobba-hos-oss/lediga-anstallningar). As an applicant, you are responsible for ensuring that the application is complete in accordance with the advertisement and that it is received by the university no later than the application deadline.

The application must be submitted by: 2025-02-10

The university actively works for a work environment with equal conditions and values the qualities that diversity brings to the organization.

The university applies individual salary setting.

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