ASSISTANT/ASSOCIATE PROFESSOR IN RUSSIAN BIG DATA METHODOLOGY (PROFI2)
The University of Helsinki – among the best in the world Founded in 1640, the University of Helsinki is one of the best multidisciplinary research universities in the world. The University of Helsinki is an international academic community of 40,000 students and staff members. It operates on four campuses in Helsinki and at 15 other locations. The high-quality research carried out by the university creates new knowledge for educating diverse specialists in various fields, and for utilisation in social decision-making and the business sector.
The Faculty of Arts is Finland’s oldest institution for teaching and research in the humanities and the largest in terms of the structure and range of disciplines. It is also a significant international community fostering research, education and cultural interaction. The Faculty has 7,000 undergraduate and postgraduate students and employees 500 experts.
The Faculty of Arts is announcing an open tenure track
ASSISTANT/ASSOCIATE PROFESSOR
in Russian big data methodology.
The position is located at the Aleksanteri Institute, University of Helsinki.
The position may be filled as an assistant professor or an associate professor (tenure track system), depending on the candidates’ merits and career stage. A person who is appointed to a tenure track position is employed as an assistant professor for fixed-term employment, during which his or her performance will be monitored and evaluated according to the criteria defined when concluding the employment contract. Successful rating in the assessment will lead to new fixed-term employment as associate professor, the overall aim being a permanent position as professor. A person who is appointed to a tenure track position can also be employed directly to the second stage fixed-term position as an associate professor.
For a person to be eligible for a tenure track position, he or she must have completed a doctoral degree in and are expected to remarkable scientific and teaching merits and notable expertise in some of the following areas of research: Russian social media sites, governmental data sources, Integrum World Wide services. Good knowledge of “Runet” in general and of a programming languages for data analysis such as R or Python are highly valued. The successful candidate is expected to have as well a good command of Russian.
Also experience designing projects that emphasize text coding, text mining and data visualization, familiarity with designing and implementing databases for scholarly projects and experience in digital humanities, practical understanding of the research process and research data lifecycle and in integration of digital humanities methodologies with Humanities or Social Sciences scholarship are seen as an asset.
The assistant/associate professor will carry out scientific research in the field of the position, head and develop research in the field, provide teaching based on research and supervise master’s and doctoral thesis, acquire research funding, and participate both in international and national scientific cooperation and in societal interaction. The assistant/associate professor’s duties will also include the provision of teaching in the field, the supervision of theses and dissertations, and the management and development of research in the field by relying on national and international networks in line with the University of Helsinki’s 2015 profile proposal to the Academy of Finland
The appointee is a member of the Helsinki Centre for Digital Humanities and participates in its activities.
An appointee to the position of assistant/associate professor in the tenure track system shall have the ability to conduct independent scholarly work and have the teaching skills necessary for the position. In addition, applicants for assistant/associate professorships shall demonstrate their ability and motivation for an academic career through publications and other means.
According to the Government Decree on Universities, assistant/associate professors/professors must be proficient in Finnish. They must also have at least satisfactory spoken and written skills in Swedish. Foreign citizens, non-native Finnish citizens or citizens who have not been educated in Finnish or Swedish may be exempted from this requirement without a separate application.
The salary for the assistant/associate professor’s position will be based on level 7 of the requirement scheme for teaching and research positions in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. Annual salary for a tenure track professor varies between 50,000 – 68,500 euros, depending on the appointee’s qualifications and experience. All standard pension benefits and occupational health care are provided for university employees. The University is committed to promoting equality and preventing discrimination in all its operations. For families with children, the city of Helsinki offers different possibilities for inexpensive daycare and a great number of good schools.
Applications must be accompanied by the following English-language documents:
• A curriculum vitae
• A list of publications
• A report of experience and merits relevant to assessing the applicant’s teaching skills as well as other documents that may be relevant to the selection; or, alternatively, an academic portfolio containing the above-mentioned documents and information.
In addition, applicants are expected to enclose with their application a report (max. two pages, in English) on how they intend to develop research in the field, if appointed.
Applicants are kindly asked to prepare for the situation in which, after the closing of the application period, the Faculty might request them to submit 10 publications of their choice to be sent to the assessors. The publications shall be saved to the University of Helsinki Recruitment System as attachments.
Please submit your application using the University of Helsinki Recruitment System via the Apply link. Applicants who are employees of the University of Helsinki are requested to leave their application via the SAP HR portal. The deadline for applications is 15 February 2017.
Enquiries about the vacancy:
Director of Research, Professor Markku Kangaspuro, markku.kangaspuro(at)helsinki.fi.
Enquiries regarding the recruitment process:
HR Specialist Tuula Henriksson, tuula.henriksson(at)helsinki.fi
Technical support with the recruitment system:
recruitment(at)helsinki.fi
For more information click "Further official information" below.
This opportunity has expired. It was originally published here:
https://www.helsinki.fi/fi/avoimet-tyopaikat/assistantassociate-professor-in-russian-big-data-methodology-profi2