Associate Professor in Signal Processing - Hiring in process/Finished, not possible to apply

The Department of Electrical Engineering consists of the three divisions, electricity, solid-state electronics and signals and systems with in total 150 employees. The three divisions are well integrated and have a well-developed collaboration both in research and education. The department is expanding within many exciting application areas, such as, e.g., electrification, digitalization and sensor technology. The different divisions have a well-developed collaboration with leading Swedish industry. For more information about the department see https://elektroteknik.uu.se.

The Division of Signals and Systems conducts research in a wide area including signal processing wireless communications, wireless sensor networks, automatic control and machine learning. The research is to a large extent funded by external grants obtained primarily from the Swedish Research Council (VR), The foundation for Strategic Research (SSF) and The Swedish Innovation Agency (VINNOVA). The division is responsible for the two PhD programs Electrical Engineering with specialization in Signal Processing and Electrical Engineering with specialization in Automatic Control. In addition, the division is responsible for a large number of courses given at the different engineering programs. The division is well connected in the international research community and with the Swedish industry.

Description of subject area of the employment: Signal Processing is to a large extent a methodological science with a large toolbox that can be applied to many different subject areas. It is a natural component of modern IT systems. Examples include 4G and 5G cellular networks, wireless sensor networks, Internet-of-Things, sensor fusion, infotainment- and security systemsin cars, navigation- and audio systems etc.

The methods used in signal processing are often model based and data driven where mathematical-statistical and adaptive algorithms are frequently used to solve different problems. The subject has broadened significantly during recent years fueled by increased computer power and the abundance of available sensor data in many application areas. Within the area of Cyber Physical Systems, where security and privacy are important ingredients, signal processing is frequently used. Other areas where signal processing is frequently used are, e.g., machine learning, neural networks and various types of distributed systems.

Duties:

• Teaching, research and administration. Teaching duties include course responsibility and course administration and supervision of second- and third-cycle students. The duties include contribution to and development of research and education within signal processing and its closely related areas within which the division conducts research and teaching, as well as contribution to and development of collaboration with industry.
• Follow developments within the subject area and the development of society in general that is important for the work at the University.
• The position may include participation in the division's different research projects within signal processing, automatic control, wireless communications, wireless sensor networks and machine learning, as well as taking part in or lead applications of external grants. The holder of the position is, after some time, expected to attract external funding for his/her own research as well taking part in and lead research projects together with industry.

Qualifications Required:

• PhD in Signal Processing or a closely related area or the corresponding research competence or some other professional expertise.
• Research Expertise and Teaching Expertise. It is necessary that the pedagogical skills, the research expertise and the professional skills are relevant to the content of the employment and the tasks that will be included in the employment.
• Applicants must have completed teacher training of relevance to operations at the University, comprising ten weeks, or have acquired the equivalent knowledge. If special circumstances apply, this training for teachers in higher education may be completed during the first two years of employment.
• Documented ability to teach in Swedish or English is a requirement unless special reasons prevail. The holder is expected to be able to teach in Swedish within two years.
• Personal capabilities necessary to carry out fully the duties of the appointment.

Assessment Criteria/Ranking of applicants that fulfil the above-mentioned qualifications required

The ranking of eligible applicants will be based primarily on research and teaching expertise, which will be given equal weight.

Research Expertise comprises research merits. In addition to academic merits, research merits from other activities, including technology development, may also be considered including research merits obtained outside the academy, which includes, for example, technology development and innovation ability. In assessing research expertise research quality must be the prime consideration. The scope of research, primarily in regard to depth and breadth, must also be afforded consideration. In assessing research expertise special weight will be attached to research merits in signal processing. Research experience from closely related areas, such as, for example, machine learning, automatic control, wireless sensor networks, and communication systems will be considered a merit, as well as experience from collaboration with industry and project leadership.

Experience from conducting research abroad as well as international research collaboration will also be considered a merit. Furthermore, consideration must be given to the capacity to plan, initiate, lead, and develop research and education in the third cycle, the ability to acquire funding for research in competition, as well as the demonstrated capacity to interact with others both within academia and in the wider community.

Teaching Expertise comprises educational and teaching qualifications. This expertise can have been achieved outside the academy through supervision, internal training, mentoring programs, etc. In assessing teaching expertise teaching quality must be the prime consideration. The scope of teaching experience, in terms of both breadth and depth, must also be afforded consideration. In assessing teaching expertise special weight will be given to the ability to develop and implement courses for small and large groups of students. Experience from the use of different pedagogical methods is considered a merit. The division of signals and systems is responsible for a large number of courses within the areas of signal processing, signals and systems, wireless communications, automatic control, analog and digital electronics, and embedded measurement systems. Hence, teaching experience from theses subjects is considered a merit.

Furthermore, consideration must be given to the capacity to plan, initiate, lead, and develop teaching and instruction, as well as the ability to connect research to teaching in respect to research in the subject at hand, subject didactics, as well as teaching and learning in higher education. The ability to interact concerning issues of teaching and learning in higher education with actors inside and outside the university is also included in teaching expertise.

Administrative Expertise is important for the employment and will be given consideration. Administrative expertise is demonstrated, for example, through the capacity to plan, organise, and prioritise work in an efficient and task-related manner as well as through the ability to assign and observe time frames. Expertise includes overall operational planning and the capacity to manage resources in a way that reflects operational priorities as well as the ability to work in a structured manner based on an awareness of goals and quality. Administrative expertise also includes entrepreneurship.

Management Expertise is important and will be afforded consideration.

Collaboration Expertise is important and will be afforded consideration. Collaborative expertise is demonstrated by the ability and skill of planning, organizing and implementing interaction with the surrounding community. Other examples of collaboration are patent applications, commercialization and industrial cooperation.

All merits must be documented in a manner that makes it possible to assess both quality and scope.

In filling this position the university aims to appoint the applicant who, following a qualitative holistic assessment of her/his competence and expertise, is judged to have the best potential to carry out and develop the relevant duties and to help advance operations.

Further information: In an overall assessment of the applicant’s qualifications, parental leave, part-time work relating to care of children, union assignments, military service, or the like are to be regarded as work experience.

University appointment regulations

Faculty appointment regulations

Instructions for application

For further information about the position, please contact: Professor Anders Ahlén, tel 471 3076, e-mail anders.ahlen@angstrom.uu.se.

Salary: Individually negotiated salary.

Starting date: As soon as possible or as otherwise agreed.

Type of employment: Permanent full-time position.

Scope of employment: 100 %.

Please submit your application by June 15 2021, UFV-PA 2021/1313.

In the event of any disagreement between the English and the Swedish versions of this announcement, the Swedish version takes precedence.

If you are an international candidate, you will find a lot of information about working and living in Sweden at www.uu.se/joinus.