Job description
The Clinical Neurophysiology group is seeking an Assistant Professor with a background in (applied) physics, electrical engineering, or biomedical engineering, and proven expertise in experimental neurophysiology.
You will contribute to our research on neuronal dynamics during metabolic stress, with a particular focus on in-vitro research related to hypoxic/ischemic injury and stroke. This research aims to elucidate the underlying neuronal dynamics during metabolic stress, and various forms of stimulation to improve recovery, with the ultimate goal of translating these findings to clinical practice.
In addition to research, you will play an active role in education, including teaching neurophysiology and biophysics to students of the Technical Medicine and Biomedical Engineering programs, as well as supervising Bachelor’s and Master’s students.
Our research is highly translational, addressing clinical challenges in metabolic stress and epilepsy with a strong focus on enhancing our understanding of pathophysiology, improving diagnostics and prognostication, and developing innovative treatments. We utilize biophysical modeling alongside clinical data, with experimental work involving cultured neurons on multi-electrode arrays (MEAs). The group also maintains strong national and international collaborations with clinical and preclinical research groups.
University of Twente (UT)
Requirements
- You hold a PhD degree in a relevant field and have a strong scientific track record, evidenced by relevant publications in high-quality peer-reviewed journals, and demonstrate the ability to acquire external research funding;
- Experience in a postdoc position or similar scientific experience is a plus.
- You can work effectively both independently and as part of a multidisciplinary team;
- You have good communication skills and an excellent command of English;
- You have a (equivalent of) University Teaching Qualification certificate, or are willing to obtain this.
Conditions of employment
- A full-time position initially for 1.5 years, with the intention for a contract extension for an indefinite period of time;
- Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
- You will receive a gross monthly salary ranging from € 4.492,- to € 6.986,- (salary scale 11 or 12) based on your experience;
- There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
- A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis;
- Free access to sports facilities on campus.
- A family-friendly institution that offers parental leave (both paid and unpaid);
- Excellent career support and courses for your professional and personal development.
Department
Mission statement and research lines Clinical Neurophysiology group (CNPH)
Research in the Clinical Neurophysiology group is at the interface of neuroscience, neurophysiology, and clinical neurology, focusing on cerebral ischemia and epilepsy. In addition, to improve understanding of pathophysiology, we aim to develop novel diagnostic tools and treatments. Our research is truly translational: from the UT to the clinic and back.
The EEG is a key clinical and research tool. EEG signal analysis includes various machine learning techniques to improve diagnostic values and (bedside) application. Applied EEG studies are complemented by biophysical modeling and simulation for improved understanding of underlying neuronal dynamics and prediction of treatment effects. In addition, we use in vitro models consisting of cultured neurons (from rodent or human induced pluripotent stem cells) on multi-electrode arrays to study basic neuronal and synaptic functioning, identify treatment targets, and screen treatments.
Additional information
Are you interested in this position? Please send your application via the 'Apply now' button below before 8 December 2024, and include:
Examples; a CV, research and education statement, and list of publications