Tenure track position (Assistant Professor, Associate Professor, or Professor), Signal Processing and Machine Learning / Signaalinkäsittely ja koneoppiminen
Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our university community has its competitive edges in technology, health and society. www.tuni.fi/en
We are now seeking an assistant, associate, or full professor in the field of Signal Processing and Machine Learning. The position is placed in the Signal Processing Research Center at Tampere University, Faculty of Information Technology and Communication Sciences, unit of Computing Sciences. The Signal Professing Research Center hosts 11 professors and about 90 staff members. It has been the site of Academy of Finland Centres of Excellence and has made numerous globally major contributions in its core strength areas, which include imaging, audio and speech processing, computer vision, and applied machine learning. Our staff includes world-class scientists, ERC grantees, Academy Research Fellows, and editors of top international journals. Our research and teaching combine theory, models, and algorithms for analyzing, interpreting, capturing, and reproducing complex natural signals, with the aim to support a wide range of applications with high social relevance.
Job description
To support our competitiveness, we are looking for a talented and enthusiastic candidate to fill a tenure track professor position (assistant, associate, or full professor) in the broader area of Signal Processing and Machine Learning. We value research excellence and strong methodological skills from some domain related to Signal Processing and Machine Learning, and understanding of phenomena broadly within that domain, which can range from real-world mechanisms producing signals, methods for processing and interpreting them, and their use in applications. An ideal candidate is a world-leading expert in their own research topic, who will renew the current expertise of the research centre. Our tenure track professors are expected to pursue and supervise scientific research in their field; lead, conduct and develop research-led teaching, curriculum development and student supervision; seek, secure and manage research funding from different sources, such as Research Council of Finland and EU instruments; demonstrate effective academic leadership and engage with external stakeholders.
Requirements
Assistant Professor
We require:
applicable doctoral degree
ability to undertake independent scholarly activity and potential to pursue scholarly activity at a high international level of excellence
willingness and interest to establish a research group and acquire external funding
Associate Professor
We require:
applicable doctoral degree
track record of independent scholarly activity
teaching skills required to successfully perform the duties and functions of the position
ability to lead a research group and acquire external funding
track record of international scholarly activity.
Professor
We require:
applicable doctoral degree
high-level scholarly expertise
experience of leading a scientific research
ability to provide high-quality research-based education and instruction
track record of acquiring external research funding
track record of international scholarly activity
We will expect you to demonstrate how your profile aligns and complements the profile of Signal Processing Research Center. Potential for industry collaboration will be considered an advantage.
We offer
Initial appointment as assistant professor and as associate professor is for five years and, subject to successful performance you will become a tenured member of faculty staff at the end of the first five-year period. You will be supported throughout the five-year period to ease transition to faculty positions. Full professors will hold a permanent appointment from the outset. A trial period of six months applies to all our new employees. Please read more about the Tenure track career path at Tampere University.
Salaries are based on the job demands and employees’ personal performance in accordance with the Finnish University Salary System. The minimum starting salary of an assistant professor will range between 4300 - 5000 EUR/month, salary of an associate professor between 5000 - 5800 EUR/month and salary of a professor between 6000 - 7000 EUR/month. Higher salaries may be agreed dependent upon experience and/or performance.
Tampere University and the higher education community offer a unique multidisciplinary environment for interdisciplinary research and teaching. We offer you the opportunity to join our dynamic and innovative international community. As a member of staff at Tampere University, you will enjoy a range of competitive benefits, such as occupational health care services, flexible work schedule, versatile research infrastructure, modern teaching facilities and a safe and inviting campus area as well as a personal fund to spend on sports and cultural activities in your free time. Please read more about working at Tampere University. You can also find more information about us and working and living Tampere by watching our video: Tampere Higher Education Community - our academic playground.
Finland is among the most stable, free and safe countries in the world, based on prominent ratings by various agencies. Tampere is the largest inland city of Finland, and the city is counted among the major academic hubs in the Nordic countries. Tampere region is the most rapidly growing urban area in Finland and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society. Tampere is also surrounded by vivid nature with forests and lakes, providing countless opportunities for easy-to-access outdoor adventures and refreshment throughout the year.
Read more about Finland and Tampere:
How to apply
Please submit your application through our online recruitment system (link below). The closing date for applications is August 31, 2024 (23:59 EEST / UTC +3).
Please write your application and all accompanying documents in English and attach them in PDF format. Applications should include the following documents:
Curriculum Vitae.
List of publications. Please indicate your ten most important publications related to the applied position.
A short motivation letter setting out the reasons why you are applying for the position and why you are particularly suited to it.
A research plan (maximum 4 pages), including your research vision in this field and a plan of research for next 5 years.
Teaching portfolio, for example based on the Tampere University template.
The names, positions and contact details of two referees who can support your application.
For more information, please contact:
Director of the Signal Processing Research Centre, Professor Tuomas Virtanen (tuomas.virtanen@tuni.fi)
Head of Computing Sciences, Professor Timo Hämäläinen (timo.hamalainen@tuni.fi)
HR Specialist, Safija Chabbi (safija.chabbi@tuni.fi)
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Tampereen yliopisto ja Tampereen ammattikorkeakoulu muodostavat yhdessä Suomen toiseksi suurimman monitieteisen, innostavan ja vaikuttavan tutkimus- ja oppimisyhteisön. Korkeakouluyhteisömme osaamiskärjet ovat tekniikka, terveys ja yhteiskunta. Lue lisää: www.tuni.fi
Etsimme signaalinkäsittelyn ja koneoppimisen alueelle apulaisprofessoria (Assistant/Associate Professor) tai professoria. Tehtävä sijoittuu Informaatioteknologian ja viestinnän tiedekunnan Tietotekniikan yksikköön, Signaalinkäsittelyn tutkimuskeskukseen.
Tehtävänkuvaus
Tehtävään valittu henkilö johtaa tutkimusryhmää ja tutkimusta omalla alallaan, vastaa oman alansa opetuksesta ja opinnäytetöiden ohjauksesta sekä tukee signaalinkäsittelyn muuta opetusta. Työhön kuuluu myös tutkimusrahoituksen hankkiminen.
Hakuohjeet
Lue tarkemmat tiedot tehtävästä ja hakuohjeet yllä olevasta englanninkielisestä ilmoituksesta.
Jätäthän hakemuksesi yliopiston sähköisellä hakulomakkeella (linkki löytyy tämän ilmoituksen alta).
Hakuaika tehtävään päättyy 31.8.2024 klo 23:59.
