|Postdoctoral Researcher, developing methods for complex multipoint calibration, applications in radio frequency (RF) system architectures|
The Faculty of Science at the University of Oulu is announcing an open postdoctoral position, which will be located at the Research Unit of Mathematical Sciences (http://www.oulu.fi/mathematics/) which has an internationally strong position at the forefront of research in its focus areas. The appointee will work in close collaboration with the Centre for Wireless Communications (CWC, https://www.oulu.fi/cwc) and Center for Machine Vision and Signal Analysis (CMVS, https://www.oulu.fi/cmvs/) at the Faculty of Information Technology and Electrical Engineering (ITEE, http://www.oulu.fi/itee). CWC conducts world-class education and research in the field of wireless communications engineering and CMVS in computer science and engineering. ITEE is internationally attractive, with numerous visiting scholars and extensive international collaboration networks.
This position is aimed at strengthening the participating research units as well as the Data Insight for High-Dimensional Dynamics (HiDyn, https://www.oulu.fi/university/hidyn) program funded by the Academy of Finland PROFI5. HiDyn is a program devoted to multidisciplinary data science and artificial intelligence. It will offer mathematical and methodological expertise to understand high-dimensional dynamic systems.
The postdoctoral position is for 18 months and is aimed to start on September 2020 or as soon as possible thereafter.
Description of the position
The research project "Developing methods for complex multipoint calibration, applications in radio frequency (RF) system architectures" aims at developing and applying methodologies of data science and artificial intelligence to tackle research problems related to multipoint calibration problems. More specifically, the aim is to optimize system performance in extremely complex large-scale mm-wave RF architectures where high-dimensional control parameters typically operate non-linearly, time varying and can have high dimensional interactions in noisy environment (that is, network of interdependencies is extremely complex). At a large, problem can be seen also as an online control problem where control data is accumulating dynamically.
The new Postdoc researcher is expected to continually write and publish scientific articles in international peer-reviewed journals documenting the achievements of the work. Some participation in teaching is required.
The work will be supervised by the collaborative research group (Tuomo Hänninen, Markku Juntti, Aarno Pärssinen, Olli Silvén and Mikko Sillanpää).
A Ph.D. (or equivalent) in Computational or Applied Mathematics, Statistics, Electrical Engineering or another field relevant to the position.
The candidate is expected to have computational orientation and extensive knowledge in machine learning and artificial intelligence methods. Experience with embedded systems and wireless or RF communications are also considered as an advantage.
Special emphasis will be given to research expertise within the subject field, demonstrated by an international publications record. Some post-doctoral experience is of advantage, but the applicant should have attained a Ph.D. no more than ten years before the end of the application period. Experience on multidisciplinary research, work abroad and other international experience will be regarded as an asset.
The salary of a Postdoc will be based on levels 5 – 6, of the requirement level chart for teaching and research personnel in the salary system of Finnish universities. In addition to the basic salary, the appointee will be paid a salary component based on personal work performance with a maximum of 50% of the basic salary. The full salary is approximately 3,400 – 4,300 euros per month.
How to apply
Applications must be accompanied by the following English-language documents:
1) Brief curriculum vitae (Max. size limit of the attachment: 5 Mbytes and 4 pages).
2) List of publications where the peer reviewed publications are clearly indicated.
3) Brief motivation letter summarizing applicant’s professional experience and expertise and describing why applicant is interested in about this position. Also information on personal research interests and career plans are valuable to provide here (max 2 pages).
4) Full name and e-mail addresses for at least two persons who are willing to give reference letters (if separately asked).
Applications, together with all relevant enclosures, should be submitted using the electronic application form by 31th of July 2020.
Professor Mikko Sillanpää, mikko.sillanpaa (at) oulu.fi, puh. +358406734474
About the City of Oulu
The City of Oulu is Northern Finland’s largest and oldest city, with a population of over 200,000. Located in the Gulf of Bothnia in the Oulu River delta, the city has good access from anywhere. Oulu is a very safe and family friendly community with one of the highest qualities of life in all of Nordic countries. As the world’s northernmost tech hub, Oulu has a highly educated and innovative workforce and the University has a strong role in the community.