Ph.D. student in computer science School of Engineering and Natural Sciences, University of Iceland

Automated assessment of cerebral autoregulation and coupled dynamics using NIRS & EEG scoring”.
This project is hosted by the Kvikna Medical ehf. and the University of Iceland within the School of Engineering and Natural Sciences in Reykjavik, Iceland. Kvikna Medical is a creator of innovative products in the field of neurology. Kvikna focuses on the development of numerical algorithms and software for EEGs in collaboration with the University of Iceland. The faculty of industrial engineering and computer science has a research focus on decision analytics and optimization engineered for applications.
This position is one of the 15 ESR positions of the Marie Skłodowska-Curie Innovative Training Network “INFANS – INtegrating Functional Assessment measures for Neonatal Safeguard”, funded by the European Union’s Horizon2020 Research and Innovation Programme. The position is for 36 months.

Field of work

The goal of INFANS is to develop a new neonatal brain monitoring system, designed to overcome the severe shortage of clinically viable means to high quality monitor the brain function in infancy, crucial to prevent later life neurological, cognitive and motor impairment. To accomplish this goal, INFANS established a structured European PhD training programme in biomedical engineering, signal processing and clinical procedures to train a new generation of creative and entrepreneurial young researchers.

The individual research projects of the ESR encompass the topics technological innovation, industrial development, clinical validation, identification of neonatal healthcare needs. As part of their research the INFANS ESRs will develop a novel platform for high quality, clinically-viable monitoring combining Electro-Encephalography (EEG) with Near-InfraRed Spectroscopy (NIRS) and accessible worldwide. Well-targeted visits and secondments, soft skills and dynamic training activities, an Open Science strategy, extensive involvement of ESRs in the network events organization, extensive contacts with other research, training and industrial European networks, dissemination activities and the award of doctoral degrees are further assets offered to INFANS ESRs.

The ESR11 project aims to create an adaptive on-line system that learns EEG interpretation with medical experts’ inputs. This is achieved by applying reinforcement learning and deep recurrent neural networks for the EEG and NIRS assessment of neonatal brain function. The EEG and NIRS acquisition systems are for short-term (12-64 sensors) and long-term monitoring (4-12 sensors) systems.  The project will develop a user-friendly interface that allows signal analysis algorithms to learn continuously from medical experts. This will exploit different levels of human interaction, including the operator, senior operator and expert. The interactive learning system will be based on structured clinical EEG (or NIRS) analysis, akin to SCORE used in adult field. It takes clinician’s  user feedback, reduces system complexity and improves reliability. A management system developed by Kvikna for big clinical data sets will, furthermore, enable such a monitoring system to learn globally (cloud computing approach). Qualification requirements

–    M.Sc. degree in computer science, applied mathematics, engineering, artificial intelligence, or a similar degree with an equivalent academic level.
–    A genuine interest in machine learning or biomedical research.
–    Strong social abilities allowing an active participation to the European network, fruitful exchanges with other students and researchers, and an excellent integration in the team of your research group.
–    Be ready and able to travel in Europe for the network meetings as well as for sharing the experience with your secondment team.Application process

The application deadline is May 1st 2019. Please apply through the University of Iceland website, vacancies and send a copy of your application to: tpr@hi.is using the subject “Application ESR11 project”.

The selected candidate will be able to take advantage of the unique set-up of the INFANS network, encompassing 6 academic and 4 industrial partners from 6 EU countries, among with leading universities, companies and clinical institutions. Excellent science, industrial leadership and societal challenge are merged in the INFANS network. The partners involved in INFANS share complementary expertise and facilities to provide international, interdisciplinary and intersectoral research training and mobility that will complement local doctoral training. The INFANS ESRs will become independent researchers with improved career prospects in both the academic and non-academic sectors, and will advance the EU capacity for innovation in biomedical engineering.
Eligibility and Mobility Rule: Early-Stage Researchers shall, at the time of recruitment by the host organisation, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. At the time of recruitment by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than 12 months in the 3 years immediately prior to the reference date.

All applications will be answered and applicants will be informed about the appointment when a decision has been made. Applications will be valid for six months from the end of the application deadline.

Appointments to positions at the University of Iceland are made in consideration of the Equal Rights Policy of the University of Iceland. The University of Iceland has a special Language Policy.
University of Iceland seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at greta@hi.is

The School of Engineering and Natural Sciences employs ca. 360 people in academic positions. The School offers an international working environment, with the number of international employees and students increasing each year. Currently about quarter of all employees and graduate students are international. There are around 2900 students at the School, divided into six faculties, including approximately 350 MS students and 150 doctoral students. Research institutes at the School are the Science Institute that divides into the Institute of Earth Sciences and Institute of Physical Sciences, Institute of Life and Environmental Sciences, Engineering Research Institute and the Institute for Sustainability Studies which is an interdisciplinary institute and belongs to the five schools of the University of Iceland.

The University of Iceland is the largest teaching, research and science institute in Iceland and is ranked among the top 250 universities in the world by Times Higher Education.
More information about the University of Iceland can be found at the University of Iceland website, Relocation Service.Further information

For more information, please contact Professor Thomas Philip Runarsson, tel.: +354 525 4733, mail: tpr@hi.isApplication deadline

The application deadline is May 1st 2019.

Apply now

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