The Fraunhofer-Chalmers Research Centre for Industrial Mathematics (FCC) is offering contract research, services, algorithms and software based on advanced mathematics within Modeling, Simulation, Optimization, and Data Analysis, which provides a significant leading edge in industrial innovation of products and production systems. Since the start in 2001, the centre has successfully proved this together with more than 200 clients in over 500 industrial and public projects together with the automotive and vehicle, metrology, pharmaceutical, wood and paper, and electronics industries.
We have an open position funded by the Swedish Foundation for Strategic Research for an ambitious and talented
PhD Student – Mathematical Modeling for Personalized Treatment of Atrial Fibrillation
FCC’s department of Systems and Data Analysis conducts research, application and development of computational models, methods and tools, powered by temporally and spatially resolved data. Our vision is to employ mathematics as a technology to improve product and process development by utilizing the ever-increasing amounts of industrial data and leverage on a thorough mathematical understanding of algorithms and methods for artificial intelligence and dynamical systems modelling. We are located in modern premises at the Chalmers Science Park, campus Johanneberg, Gothenburg, Sweden. The department of Biomedical Engineering (BME), Lund University, was formed 2014 and consists of research groups covering a wide array of BME research topics, including biomedical signal processing. The biomedical signal processing group has long experience in cardiovascular signal processing, with special emphasis on addressing issues related to atrial fibrillation. The project will be conducted in collaboration with the department of Cardiology at Lund University and link to the existing collaborations within the EC-funded international training network MY-ATRIA.
The purpose of the project, which is a collaboration between FCC and Lund University, Depts. of Biomedical Engineering and Cardiology, is to develop new methodology for assessing the activity of the autonomic nervous system (ANS) during atrial fibrillation (AF), for the purpose of prognosis and personalized treatment of clinical patients suffering from AF. The ANS is known to play an important role in initiation and maintenance of AF, and changes in autonomic modulation have been linked to disease progression. Thus, information about patient specific cardiac ANS modulation during AF may well prove to be a key factor in personalized AF management, but there are currently no tools available in the clinic for quantitative analysis of cardiac ANS modulation during AF. The project will comprise using mathematical modelling to describe how the ANS modulates the beating of the heart during AF, and to utilize the model to infer ANS modulation based on measured ECG-signals. The extracted information about ANS modulation will be used to establish disease prognosis and to choose the best treatment strategy on an individual basis. Methodologies that may be employed during the course of the project are dynamical systems modelling, Bayesian inference, non-linear mixed effects modelling, machine learning and digital signal processing. The project is carried out as part of an existing collaboration between FCC and BME. The successful applicant will be employed by the Fraunhofer-Chalmers Centre and enrolled as a PhD-student at the Department of Biomedical Engineering, Lund University. The project duration is 5 years and the works consists of research and studies conducted as part of the PhD program (4 years) as well as teaching and other duties (1 year). The work will partly be conducted on site at Lund University. The syllabus for the PhD program in Biomedical Engineering at Lund University can be found here.
You have a Master of Science or equivalent, a strong background in mathematics and good communication skills in written and spoken English. Concurrent method development and implementation of algorithms is integral to the applied research carried out at FCC, and good programming skills (e.g., Python, MATLAB, R, C++) are therefore required. You will work together with a team of researchers, engineers and a clinician, with a thorough understanding of both applied mathematics and cardiac electrophysiology. You are a team player with strong interest in applied research, but also expected to work autonomously, develop your own ideas and communicate results to the scientific community.
Welcome to submit your electronic application including cover letter, CV, course grades and other relevant work such as master thesis, no later than November 31 to: firstname.lastname@example.org.
Also, please note that evaluation of applications and interviews will take place continuously during the application period.
We aim for a project start between January 1 and June 1, 2020, but you could still apply if you finalize your master thesis during the spring term.
For questions about the position, please contact:
Mikael Wallman, email@example.com, +46 731 450213 or
Frida Sandberg, firstname.lastname@example.org, +46 46 222 9775