at the Department of Mathematics. Closing date: 30 September 2019.
The last century of research has led the Department of Mathematics at Stockholm University to acquire a prominent place in Scandinavian mathematics. The department consists of three divisions: Mathematics, Mathematical statistics, and the recently formed Computational mathematics. The research in the division of mathematics include algebra, geometry and combinatorics, analysis and logic. The research in mathematical statistics include probability theory and statistical inference theory, with applications in biostatistics, climatology, econometrics, finance and insurance. Computational mathematics is a new direction for the department, with activities in computational biology, stochastic modelling, scientific computing for climatology, and logic of programs.
Computational mathematics, focusing on Computer Science, for example analysis and development of algorithms, datastructures, and machine learning.
Research, teaching and supervision.
In order to qualify for the position as associate professor, the applicant must have demonstrated good teaching skills and have a doctoral degree, or equivalent research expertise, of relevance to the subject area and the main responsibilities of the position.
All teaching positions at Stockholm University require the ability to collaborate and the general ability and suitability to perform one’s duties.
In the appointment process, special attention will be given to research and teaching skills. The assessment of research skills will focus primarily on merits within the subject area of the position.
Teaching and learning in higher education
Completed training in teaching and learning in higher education, or equivalent knowledge, is an advantage. An applicant who has not completed at least 15 credits of teaching and learning in higher education and is not considered to have otherwise acquired equivalent knowledge should undergo such training within the first two years of employment.
Proficiency in Swedish is not a requirement at the time of appointment, but the candidate should be prepared to carry out teaching and administrative duties that require proficiency in Swedish within two years of employment.
Female applicants are particularly welcome, as most associate professors at the department are men.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
Further information about the position can be obtained from the Head of the Department, Professor Joanna Tyrcha, telephone: +46 8 16 45 67, email@example.com or Associate professor Lars Arvestad, telephone +46 8 16 46 29, firstname.lastname@example.org
For questions regarding the application process, please contact administrator Mikael Stenberg, telephone: +46 8 16 20 86, email@example.com.
Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, firstname.lastname@example.org, Alejandra Pizarro Carrasco (Fackförbundet ST/Lärarförbundet), telephone: +46 8 16 34 89, email@example.com, and firstname.lastname@example.org (SEKO).
Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.
We would appreciate it if your application is written in English. Since it will be examined by international experts, English is the working language.
The University’s rules of employment and instructions for applicants are available at: Instructions – Applicants.
You are welcome to apply!Läs mer
|Titel||Associate Professor in Computer Science|
|Job location||Universitetsvägen 10, 114 18 Stockholm|
|Publicerad||juni 20, 2019|
|Sista ansökningsdatum||september 30, 2019|
|Ämnen||Informatik,   Informationsvetenskap,   Algoritmer,   Artificiell intelligens,   Artificiella neurala nätverk,   Dator och samhälle,   Datorarkitektur,   Datorkommunikation (nätverk),   Datorgrafik,    and 22 more. Cyber Security,   Databehandling inom matematik, naturvetenskap, teknik och medicin,   Databehandling inom samhällsvetenskap, humaniora,   Datautvinning,   Datastrukturer,   Databaser,   Distribuerad databehandling,   Människa-datorinteraktion,   Informationssystem (affärsinformatik),   Operativsystem,   Parallell databehandling,   Programmeringsspråk,   Kvantdatoranvändning,   Programvaruteknik,   Beräkningsteori,   Beräkningsvetenskaper,   Beräkningsmatematik,   Speldesign,   Big data,   Maskininlärning,   Robotseende,   Datorseende  |