Two Postdoctoral Fellows in the Group of Machine Learning and Statistical Signal Processing
Oferta de Profesores de universidades y de la enseñanza superior en SYDDANMARK (Dinamarca)
Clasificación del trabajo:Profesionales científicos e intelectuales : Profesionales de la enseñanza : Profesores de universidades y de la enseñanza superior : Profesores de universidades y de la enseñanza superior. Arbejde, der forudsætter viden på højeste niveau inden for pågældende område : Undervisning og pædagogisk arbejde : Undervisning og forskning ved universiteter og højere læreranstalter : Undervisning og forskning på universiteter og højere læreranstalter.
Descripción de la oferta de trabajo:
Industry 4.0 and Medical Robots The Group of Machine Learning and Applied Statistical Signal Processing (pSeG) and Embodied Systems for Robotics and Learning (ESRL) invites applications for two positions as postdoctoral fellows in Industry 4.0 targeted at wind energy and Medical Robots targeted at colorectal cancer screening, to be filled as soon as possible and for a period of 2 years. About the Positions The successful candidates will be working on two commenced projects (i) Industry 4.0 with the focus on detection and prediction of faults in offshore wind turbines and (ii) design and development of Medical Robots for early colorectal cancer detection. The first project deals with Big Data analytics and statistical inference; while the second one deals with the design of non-invasive medical robots, i.e. wireless camera pill (capsule endoscopy) for screening colorectal polyps. The aim is to drive research forward in Industry 4.0 and Medical Robots related topics, and contribute to creating value with our industry partners such as Siemens Wind Power. Industry 4.0: Wind Energy Together with major industry partners, especially Siemens Wind Power, we develop novel statistical fault detection, prediction, and tracking methods to foresee abnormal behavior in wind turbines and wind farms. The research goal is to identify mechanical and electrical failure on both system and component level. All which is facilitated in a Big Data framework, with temporal dependencies and sparsity across the data sets. Medical Robots: Capsule Endoscopy Together with Odense University Hospital and medical companies, we design and develop novel medical robots for GI tract screening for early detection of cancer. Health related topics range from image processing of in vivo sensory data, to modeling environmental impact on human health, and engineering solutions for monitoring and evaluating patients in their homes. Opportunities exist for mentoring higher degree research students. These positions offer an exciting opportunity for the right candidates to work with a highly motivated, innovative and visionary research team who are focused on high quality outputs to the two sectors. pSeG and ESRL The Group of Machine Learning and Applied Statistical Signal Processing Group (pSeG) is embedded in the ESRL unit at the technical faculty of the University of Southern Denmark. Within ESRL, pSeG covers fields such artificial learning, signal processing, and statistical inference. At pSeG theoretical knowledge is applied to analyze and interpret data from human health, environmental, biological and engineering studies. The Applicant We would like to appoint two talented and committed colleagues, in the fields of Electrical Engineering (hardware design) and signal processing (machine learning), who will contribute actively to the research environment in our group. We are seeking two candidates with a strong background in Electrical and Computer Engineering (ECE) with interests in Industry 4.0 and Medical Robots-related topics. The applicant must have a PhD qualification in ECE and be able to demonstrate the following skills: • Extensive Knowledge in hardware design and electronics.? • Knowledge in signal processing, statistics and machine learning of Big Data.? • A publication track record in relevant scientific journals and conferences. Proficiency in English is required. Further information can be obtained from Associate Prof. Esmaeil S. Nadimi, e-mail esimmmi.sdu.dk Application, salary and conditions of employment etc. Employment as postdoc is temporary. Level of qualification is a PhD. If special circumstances exist employment may be extended for one year. Research will be predominant in the position. Teaching assignments can be agreed individually. Furthermore, other types of assignments may occur to a limited degree. Applications will be assessed by an expert. Applicants will be informed of their assessment by the Faculty. As part of the overall assessm
Servicio de empleo de origen:AMS, Servicios Públicos de Empleo, Dinamarca.