Position of Research Fellow in the ANR-Lab (Russian Postdoc Program)
Higher School of Economicsis one of the largest universities in Russia, a leading center of education, scientific research and development. Today, more than 47,000 undergraduate and graduate students study at HSE University, and more than 7,000 teachers, scientists and administrative staff work.
HSE University currently have an open competition for the Program to Attract Russian Postdocs. As part of the competition, two vacancies for postdocs (research fellows) are open in the division 'International Laboratory for Applied Network Research' (ANR Lab).
Postdoc vacancy for the project 'Research on the structure of formal and informal institutions'
Project goal: Study of formal and informal institutions (social groups, teams, organizations, etc.) as structures of network interactions, identifying their characteristics and features, modeling and forecasting changes using network analysis methodology.
Tasks within the project:
- Formation of a working group from among laboratory staff and students based on the implementation of a project under the leadership of a postdoc, exchange of experience in conducting research;
- Review and synthesis of current research, preparation of a literature review on the subject of the project;
- Review of current methods in the field of network analysis on the subject of the project, participation in the development of research methodology;
- Search, collection and processing of necessary data, preparation of a description of the data and the results of their primary analysis;
- Data analysis using statistical and network analysis methods;
- Description of results in the format of scientific publications and reports, presentation of research results;
- Expanding the laboratory's research topics and contributing to the field of network analysis and network science.
What we expect from successful candidates for this position:
- Required work experience: at least 3 years
- Russian citizenship
- Academic degree (Academic degree of Candidate of Sciences, successful defense of a candidate's dissertation, PhD degree)
- Having a degree in socio-economic and technical areas (social, mathematical, computer sciences)
- Proficient in quantitative methods of data analysis (exploratory, cluster and regression analysis, etc.), knowledge of and work in at least one data analysis program (R, Python, etc.)
- Knowledge of network analysis methodology (Social network analysis / Network science) (calculation of basic metrics, working with different types of networks, identifying communities, etc.)
- Knowledge of and work in at least one of the network analysis programs (R, Python, Pajek, Gephi, UCInet, etc.)
- Knowledge of English for free scientific and educational communication (oral and written)
- Active participation in scientific events of the department
- Proficiency in advanced quantitative analysis methods (multilevel modeling, structural equation modeling, cluster and regression analysis, time series analysis, etc.) is not required, but is preferred
- Knowledge of advanced quantitative analysis methods (multilevel modeling, structural equation modeling, cluster and regression analysis, time series analysis, etc.) and advanced network analysis methods (temporal analysis, network data clustering, network modeling ERGM, tERGM, SAOM, etc.) is not required, but encouraged
What we offer:
- Salary from 110,000 rubles before personal income tax
- Full time
- Duration of work: 1 year with the possibility of extension for a second year
- Working in a friendly ANR-Lab team
- Work with experts in the field of network analysis in the laboratory and outside it during the implementation of the project and writing scientific papers
- Possibility of forming your own working group from among employees and students of the laboratory and mentoring
- Opportunity to participate in submitting grant applications for scientific projects
- Participation in organizing scientific events, expanding the scientific network through laboratory partnerships
- Work in the historical center of Moscow (campus on Pokrovsky Boulevard)
- Availability of an equipped workplace at the university
- Access to information resources, databases and electronic subscriptions of the National Research University Higher School of Economics
- Participation in scientific and educational events and programs of the National Research University Higher School of Economics for scientific advancement and career development
- Participation in academic mobility and professional development programs of the National Research University Higher School of Economics
Postdoc vacancy for the project 'Quantitative research of socio-economic processes'
Project goal: Study of current socio-economic processes, identifying their characteristics and features, modeling and forecasting changes using advanced methods of statistical analysis.
Tasks within the project:
- Formation of a working group from among laboratory staff and students based on the implementation of a project under the leadership of a postdoc, exchange of experience in conducting research;
- Review and synthesis of current research, preparation of a literature review on the subject of the project;
- Review of current methods of data analysis on the subject of the project, participation in the development of research methodology;
- Search, collection and processing of necessary data, preparation of a description of the data and the results of their primary analysis;
- Data analysis using advanced quantitative statistical methods;
- Description of results in the format of scientific publications and reports, presentation of research results;
- Expanding the laboratory's research topics and contributing to the thematic direction of computational social sciences;
- Active participation in scientific events of the department.
What we expect from successful candidates for this position:
- Required work experience: at least 3 years
- Russian citizenship
- Academic degree (Academic degree of Candidate of Sciences, successful defense of a candidate's dissertation, PhD degree)
- Having a degree in socio-economic and technical areas (social, mathematical, computer sciences)
- Proficiency in advanced quantitative analysis methods (multilevel modeling, structural equation modeling, cluster and regression analysis, time series analysis, etc.)
- Knowledge of and work in at least one data analysis program (R, Python, SPSS, STATA, etc.)
- Knowledge of English for free scientific and educational communication (oral and written)
- Proficiency in network analysis methodology (Social network analysis / Network science), knowledge and work in at least one of the programs for network analysis (R, Python, Pajek, Gephi, UCInet, etc.) is not required, but is encouraged
What we offer:
- Salary from 110,000 rubles before personal income tax
- Full time
- Duration of work: 1 year with the possibility of extension for a second year
- Working in a friendly ANR-Lab team
- Working with specialists in the field of quantitative data analysis inside the laboratory, the National Research University Higher School of Economics and beyond during the implementation of the project and writing scientific papers
- Possibility of forming your own working group from among employees and students of the laboratory and mentoring
- Opportunity to participate in submitting grant applications for scientific projects
- Participation in organizing scientific events, expanding the scientific network through laboratory partnerships
- Work in the historical center of Moscow (campus on Pokrovsky Boulevard)
- Availability of an equipped workplace at the university
- Access to information resources, databases and electronic subscriptions of the National Research University Higher School of Economics
- Participation in scientific and educational events and programs of the National Research University Higher School of Economics for scientific advancement and career development
- Participation in academic mobility and professional development programs of the National Research University Higher School of Economics
To apply for a position, please use the form.
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