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2:16 PM  June 10, 2019

TSU scientists create algorithm to find specialists for oil industry

© с сайта Томского госуниверситетаTSU scientists create algorithm to find specialists for oil industry

TOMSK, Jun 10 – RIA Tomsk. A team of students and employees of Tomsk State University (TSU) developed a system that helps personnel departments of oil and gas companies to quickly find new employees to solve specific problems, the press service of the university said on Monday.

It is specified that at one of the workshops of the U-NOVUS-2019 forum representatives of Gazpromneft Science & Technology Centre (Gazpromneft STC) told about the difficulties in finding specialists to solve some problems of the industry. In particular, the personnel department of the company looks at thousands of resumes in search of a suitable employee, and 99% do not correspond to the tasks set. To solve the problem, TSU scientists developed a special algorithm.

"It’s easier to directly find a person who understands the required area, then the probability that the problem will be solved quickly and efficiently is increased. One of the ways – is automated search through the texts of final qualification works, student publications and conference speeches", – one of the algorithm developers Alexey Bocharov is quoted in the message.

The TSU team proposed to analyze the texts according to their terminological composition and correlate the results with the existing industry problems. According to the articles, term papers and final papers, the algorithm can find the necessary young specialist.

© предоставлено пресс-службой Томского госуниверситета
"It will help the personnel departments to make their work on the formation of personnel reserve faster and more efficient. The existing algorithms can analyze the bibliographic description of publications: title, year, university and other parameters. But these data do not give a complete picture of what area the author specializes in and which problems he can solve", – is added in the message.

According to the university, the work of the TSU team was appreciated by the leading employees of Gazpromneft STC. Currently, the possibility of introducing the developed algorithms to solve the company's internal tasks is being discussed.

Earlier it was reported that the U-NOVUS-2019 forum was held in Tomsk on May 15-17. It was attended by representatives of industrial enterprises, innovative business, universities and academic institutions. The forum has a practical focus.

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