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The Department of Information Technology has approximately 350 employees and 4000 students per year and provides education and research of the highest international quality in Computer Science and its sub-disciplines. The strong focus on research impacts and provides an excellent foundation for undergraduate education at the department. The department also hosts several interdisciplinary research groups, and the department supports initiatives in the areas of equal opportunities and equality. Research is organized in five divisions. For more information, see www.it.uu.se.
The Division of Computer Systems research includes modeling, design, and analysis of new computer architectures, new methods in computer communication, and new techniques in embedded systems. In all those areas, the division has produced groundbreaking theoretical and applied results. The assistant professor will be placed with the research groups that work on computer networking with a current focus on reliable and secure low-power networking for the Internet of Things.
Description of subject area of the employment: Networked systems enable interaction among objects ranging from tiny sensors and actuators to quadrocopters or datacenters. The focus of this position is on research to improve the performance of networked systems such as low-power wireless and Internet of Things systems in terms of energy consumption, throughput, delay, mobility, sensing and security using modern methods from artificial intelligence or machine learning. Of particular interest is systems-oriented research including the design of (embedded software) prototypes and their evaluation as well as the design of novel machine learning architectures for resource-constrained networked systems.
Duties:
Appointment Period: The position can be held for a maximum of six years. An Assistant Professor can apply for promotion to Associate Professor. If the Assistant Professor is deemed suitable and fulfills the criteria for promotion established by the Faculty Board he/she shall be promoted to and employed as Associate Professor.
Qualifications Required:
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, of which weight will be primarily given to research expertise.
Research Expertise comprises research merits as well as the applicant's potential to contribute to the future development of both research and teaching. 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 computer networking where modern machine learning methods have been applied to improve the performance in experimental systems, prototypes, and proof-of-concept real-world deployments. A large weight is given to the application of such methods in low-power wireless systems. Weight is also given to the design of novel machine learning architectures for resource-constrained systems.
Teaching Expertise comprises educational and teaching qualifications. 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 attached to merits in teaching courses in networking, and/or artificial intelligence and machine learning.
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
Salary: Individually negotiated salary.
Starting date: As soon as possible or otherwise agreed.
Type of employment: Temporary position six years.
Scope of employment: 100 %.
For further information about the position please contact Professor Philipp Ruemmer e-mail philipp.ruemmer@it.uu.se and Professor Thiemo Voigt e-mail thiemo.voigt@it.uu.se.
Please submit your application by June 6, 2021, UFV-PA 2021/1050.
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.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | As soon as possible or otherwise agreed |
Salary | Fixed salary |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Uppsala |
County | Uppsala län |
Country | Sweden |
Reference number | UFV-PA 2021/1050 |
Union representative |
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Published | 01.Apr.2021 |
Last application date | 06.Jun.2021 11:59 PM CEST |