Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has been ranked the 9th best young university in the world (Top 50 under 50, QS 2018) and one of the world’s top technology challenger universities (THE 2017), thinking outside the box on research collaboration, funding and innovation. Aalto has six schools with nearly 11 000 students and 4000 employees of which close to 400 are professors. Our campuses are located in the Capital Area of Finland. With 37% of our academic faculty coming from outside Finland, we are a highly international community with strong academic standing.
At Aalto, high-quality research, art, education and entrepreneurship are promoted hand in hand. Disciplinary excellence is combined with multidisciplinary activities, engaging both students and the local innovation ecosystem. Our main campus is quickly transforming into an open collaboration hub that encourages encounters between students, researchers, industry, startups and other partners. Aalto University was founded in 2010 as three leading Finnish universities, Helsinki University of Technology, the Helsinki School of Economics and the University of Art and Design Helsinki, were merged to strengthen Finland’s innovative capability.
Aalto University School of Electrical Engineering invites applications for an
ASSISTANT PROFESSOR IN RADAR SIGNAL PROCESSING
We are looking for an assistant professor to establish and lead a group of researchers and students within the radar signal processing research area at Aalto University. In this position, you will have a chance to make an impact in academic research and teaching. The research area has a huge potential for industrial cooperation as well as domestic and international defense research collaboration. Furthermore, there are many emerging application areas in health applications, automotive systems and active sensing using multisensory systems. At Aalto University, you will have excellent research facilities and opportunities for interdisciplinary research with top-level researchers in signal processing, machine learning, future radars, radio engineering, and remote sensing.
YOUR ROLE AND GOALS
Your tasks and responsibilities include conducting world class radar research and teaching as well as preparing research projects with external funding from academic funding agencies and a variety of industrial and defence related sources both nationally and internationally. You supervise and recruit PhD students, post-docs and participate in teaching within the Computer, Communication and Information Science Master's Programme which is one of the most competitive at Aalto University.
The professor position is at the Department of Signal Processing and Acoustics (in the School of Electrical Engineering) where currently world class research on statistical and array signal processing, wireless communications, optimization, machine learning, radar and multisensory systems, speech, audio and acoustic signal processing is conducted. The department has currently 9 professors and 3 of them are IEEE Fellows. It has been extremely successful in attracting funding from academic, industrial and defence sources. The department has an extensive network of collaborators in world leading academic institutes and industrial research groups. Moreover, there is a great potential to collaborate internationally through European Defence Agency, NATO Radar panel and different Department of Defence (DoD) agencies related projects. There are very strong research groups in the areas of Radio Engineering and Circuit Design within the School of Electrical Engineering, providing a critical mass of knowledge for large scale research projects in radar.
YOUR EXPERIENCE AND AMBITIONS
We expect a strong track record of publications and achievements in signal processing with experience related to radar, excellent teaching skills to help students to learn difficult topics, and motivation and competence to start and lead new and highly ambitious research projects aiming at significant scientific results and impacts. The professorship is open for qualified applicants in signal processing. We prioritize such fields which enable research collaboration with the Department’s research group of radar and multisensor systems. All applicants must have a doctorate in signal processing (or in a related area of engineering) and fluent command in English.
If you wish to hear more about the position, you can contact Professor Visa Koivunen (firstname.lastname@example.org). In recruitment process related questions, please contact HR Coordinator Saara Haggrén (email@example.com).
READY TO APPLY?
If you want to join our community, please submit your application through our eRecruitment system no later than 4 August 2019.
To apply, please share the following application materials with us:
All application materials should be submitted in English, in pdf format. The applications for the tenure track positions are to be addressed to the President of Aalto University.
From amongst the applicants in the first phase, Aalto University will select those who will be asked to visit Aalto University in September 2019.
Short-listed candidates’ applications will be submitted for review by external experts.
General instructions for applicants including evaluation criteria, language requirements and guidelines for compiling teaching portfolio and CV are given at https://www.aalto.fi/en/tenure-track.
Aalto University reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not submitted applications during the application period.
As a living and working environment, Finland consistently ranks high in quality-of-life. For more information about living in Finland: https://www.aalto.fi/en/services/why-finland.Apprenez-en davantage
|Intitulé||Tenure track position in Radar Signal Processing|
|Job location||Lämpömiehenkuja 2, 02150 Espoo|
|Publié||juin 13, 2019|
|Date limite d'inscription||août 4, 2019|
|Types d'emploi||Professeur,   Assistant / Professeur adjoint,   Tenure Track  |
|Domaines de recherche :||Acoustique,   Ingénierie des communications,   Génie électrique,   Apprentissage automatique,   Traitement du signal  |