Current research in signal processing takes place in the areas of measurement technology and wireless communication, in close collaboration with industry. In our research, we strive to understand how to draw conclusions from measurement data and how to reliably transfer such information from one place or time to another. We now need to strengthen our team with an assistant university lecturer.
The subject covers signal processing with a focus on the development and optimization of algorithms for the processing of one- and multi-dimensional signals that are closely related to applications and applied research.
As an assistant university lecturer, you participate in the development of teaching and research in the field of signal processing (SP). More specifically, the research areas of the announced service are focused on array signal processing and machine learning for ultrasound applications, specifically:
• Physics-informed machine learning for modeling ultrasound imaging systems.
• Supervised and unsupervised machine learning for ultrasonic non-destructive testing and evaluation (NDT/E).
• Techniques for the development and optimization of sparse array imaging algorithms, applied to, but not limited to, near-field applications of ultrasound.
You will also be responsible for administration and teaching in courses given by the signal processing group, supervise master's students and PhD students, and work with applications for research grants to initiate new project-based research directions within the group.
It is expected that you participate in the group's joint development of the educational and research area, as well as collaborate with research groups both within the department, the university and with other universities, research institutes and other external parties nationally and internationally.
Eligible to be employed as an assistant university lecturer is a person who has completed a doctorate or has a foreign doctorate which is considered to be equivalent to a doctorate.
In the first place, it should be considered for employment who have completed their doctorate no more than five years before the end of the application period. If there are special reasons, the doctoral degree may have been completed earlier. By special reasons is meant leave due to illness, parental leave, clinical duties, duties of trust, or similar circumstances.
Basis of assessment
The following assessment criteria are applied for the position:
• Scientific skill
• Other assessment grounds
The other assessment criteria are (weighted in descending order):
• research and competence profile in relation to the advertised position
• documented experience of applying for external research funds
• teaching experience and documented higher education pedagogical training
• experience in supervising doctoral students
• passed supervisor training
• ability to interact and collaborate.
For this employment, an employment period of four years applies.
Exam for university lecturer
The purpose of the appointment is for the teacher to be given the opportunity to develop his independence as a researcher and merit both scientifically and pedagogically in order to fulfill the requirements for eligibility for a position as a university lecturer.
An assistant university lecturer must, upon application, be promoted to university lecturer and an employment until further notice, if he/she has the authority for employment as a lecturer and in an examination is deemed suitable for such employment according to the assessment criteria stated below:
Upon examination, it is required that the assistant lecturer has undergone higher education education corresponding to 7.5 ECTS or alternatively acquired equivalent knowledge in another way.
During the period of employment, the assistant lecturer must also independently, to a considerable extent and with high quality, contribute to the university's research and demonstrate good pedagogical skills by:
• have successfully applied for and been granted research funding
• have taught or developed own course material with good results
• had experience in supervising doctoral students.
For more information, contact Professor Johan Carlson, firstname.lastname@example.org
Union representatives: SACO-S Kjell Johansson, 0920-49 1529 email@example.com
and OFR-S Lars Frisk, 0920-49 1792 firstname.lastname@example.org
We prefer that you apply for the position via the application button below where you attach a personal letter, a detailed CV with a list of publications and a full description of your scientific merits, a rough research plan with respect to the described research topics, list of successful grant applications or participation in research projects, at least 2 references, copies of verified and translated diplomas and doctoral degrees. Please mark your application with the reference number below. Please write your application in English as we have English speakers in the recruitment group. Follow the link Instructions for applicants for complete instructions.
Application deadline: 20 February 2024
Reference number: 335-2024
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