Up to two researchers with focus on large-scale image analysis and machine learning for digital palaeography
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 44.000 students, 7.100 employees and a turnover of SEK 7 billion.
These positions are part of interdisciplinary research collaboration between the Centre for Image Analysis at the Division of Visual Information and Interaction, Dept. of Information Technology, Uppsala University and the University of Gävle. The collaboration focuses on digital image processing, computerised image analysis and machine learning, with applications in the field of digital palaeography.
The Department of Information Technology has approximately 280 employees and provides education and research of the highest international quality. Roughly 4,000 students study here each year, and about 30 research teams are based here. The strong focus on research impacts and provides an excellent foundation for undergraduate education at the department. The department is building on activities in IT that have been carried on at Uppsala University since the mid-1960s. The department hosts UPPMAX (Uppsala Multidisciplinary Center for Advanced Computational Science), Uppsala University's resource of high-performance computers, large-scale storage and know-how of high-performance computing. UPPMAX is one of the six centers in the national metacenter Swedish National Infrastructure for Computing (SNIC). For more information, see www.it.uu.se and www.uppmax.uu.se.
The Centre for Image Analysis has a long tradition of theoretical and applied research and graduate education in computerized image analysis and scientific visualization. The focus is on image processing as such, but also on developing better methods, algorithms and systems for applications within primarily life sciences, medicine, digital humanities and text recognition. For more information, see www.cb.uu.se.
Research Project: These positions are a part of a project within the field of digital palaeography, i.e., computational methods for analysis and quantification of handwritten text. The extracted data can be used for scribal attribution (writer identification), dating and other similar purposes. The material consists primarily of mediaeval charters, produced in Sweden. There are more than 10.000 images of such charters available. The aim is to develop new computerized methods within image analysis and machine learning, to analyze these images, individually and collectively, in ways that a human specialist cannot achieve.
Assignments: The position consists of research and a limited amount of teaching (up to 5%) and institutional duties (up to 5%). The research is to be carried out within the field of digital palaeography on the mediaeval Swedish handwritten material. Primarily the charters will be in focus, but work on other mediaeval manuscripts can also be relevant. The employee is also expected to participate in the activities at the department and work for good relations with the collaborators of the project.
Appointment period: The position can be held for a maximum of two years, with starting date as soon as possible.
Qualifications: To qualify for an employment as a researcher the applicants must hold a doctor’s degree in image analysis, computer vision or machine learning.
Assessment Criteria/Ranking; The ranking of eligible applicants will be based primarily on research expertise, and especially experience from image analysis and machine learning will be taken into account. Experience in digital palaeography and handwritten text recognition is of particular importance.
Additional qualifications: Studies in the humanities and/or linguistics, and work within the field of digital humanities is considered as an additional qualification.
In the overall assessment of the applicant’s qualifications, parental leave, part-time work relating to care of children, or the like are to be counted as work experience.
How to apply: The applicant should include a letter describing her- or himself and motivating why applying for the position, relevant qualifications, and research interests. State in the application which of the two positions (or both) the application concerns. The application should also include a CV, copies of relevant certificates, degrees and grades, relevant publications and other documents (e.g., letter(s) of recommendation and a list of reference persons). We would also like to know the earliest possible date for starting.
Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.
Pay: Individual salary
Starting: As soon as possible.
Type of employment: Temporary position.
Working hours: 100 %
For further information about the position, please, contact
Dr. Anders Brun, firstname.lastname@example.org or Prof. Lasse Mårtensson, email@example.com.
You are welcome to submit your application no later than 2017-10-31, UFV-PA 2017/2706
Are you considering moving to Sweden to work at Uppsala University? If so, you will find much information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact the International Faculty and Staff Services at firstname.lastname@example.org.
Please do not send offers of recruitment or advertising services. Applications must be submitted as described in this advertisement.
Placement: Department of Information Technology
Type of employment: Full time , Permanent position
Pay: Fixed pay
Number of positions: 2
Working hours: 100%
County: Uppsala län
Ellena Papaioannou, Seko
Per Sundman, Saco-rådet 018-471 1485
Suzanne Borén Andersson, TCO/ST 018-471 6251
Number of reference: UFV-PA 2017/2706
Last application date: 2017-10-31
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