1 Petrozavodsk State University (RUSSIAN FEDERATION)
2 National Research Nuclear University MEPhI (RUSSIAN FEDERATION)
About this paper:
Appears in: EDULEARN16 Proceedings
Publication year: 2016
Pages: 8340-8345
ISBN: 978-84-608-8860-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2016.0823
Conference name: 8th International Conference on Education and New Learning Technologies
Dates: 4-6 July, 2016
Location: Barcelona, Spain
The innovative development of the country dictates conditions for the modernization of higher education. Especially modernization should be applied to the training of highly qualified scientific personnel. After all, the scientific progress, the emergence of new technologies, equipment, materials, etc. highly depend in the first place on highly qualified scientific personnel. Therefore the system of training of highly qualified scientific personnel must be flexibly adjusted to the changing needs of the economy in general and especially in the priority areas of economic development, which defined and supported by the state.

Due to the low interregional labor mobility in Russia the problem of conformity of training and employment must be addressed in relation to the administrative and territorial structure of the country. Training system in institutions of higher education in the region, including training of highly qualified scientific personnel, should provide staff for enterprises and organizations in the territory of the region. For example, for the Republic of Tatarstan the prospective labor markets include construction, transport and logistics complex, the chemical complex, the production of vehicles and equipment. Analysis of providing of the labor market by highly qualified scientific personnel showed that only chemical complex is adequately provided by the PhD specialists. The rest of prospective labor markets lack of PhD specialists. This may adversely affect the rate of development of these sectors.

To solve this problem, we developed a method which includes the following steps: identification of the promising labor markets in each region, the formation of the list of qualification requirements for the employees of the labor market, forecasting the number of required workers with PhD degrees, the comparison of qualification requirements with a list of areas of training in graduate school, the calculation of amount of students in graduate school, taking into account the effectiveness of training.

Practical implementation of the methodology described above has a number of difficulties. The calculations require detailed statistical information in various aspects, including profession, education, position, etc. Such detailed information about the labor market is missing. For its restoration (approximate estimation) the special technique has been developed by the authors. This technique allows to obtain professional and qualification structure in the industry or region on the base of information of the theses protection. Information about theses protection is collected every year in full amount.

The paper presents the calculations performed by the proposed method by the example of several Russia regions and sectors of the Russian economy. The calculation results are compared with statistical data on the amount of graduate students in the educational and scientific organizations in the regions.

The paper is financially supported within the project framework 2.109.2016/НМ in terms of state contract under Ministry of Education and Science of Russia and by the Russian Humanitarian Science Foundation under Grant number 15-02-00231/14
Promising labor market, highly qualified scientific personnel, conformity of training and employment.