Social Network Analysis, Innovation, Data Science, Business Analytics
The successful candidate will apply data science to the analysis of social networks, with an approach based on data analytics and explorative statistics. The candidate must have distinctive competences in complex network theory with an excellent record track of publications. The candidate must have a long standing experience in data wrangling and programming data science and network analysis oriented languages (Python, R, Gephi). The research domain will be applied economics where the successful candidate must have a record of peer reviewed publications in the analysis of socio-economic networks. Good data visualization skills will be a plus
The candidate will collaborate with IMT faculty members and PhD student in conducting research on innovation networks. The position involves research on a large company dataset of R&D collaboration networks. The appointed candidate will join IMT research area in Economics, Networks and Business Analytics
Master Degree in Economics, Statistics, Physics or a related field.
Ph.D. in Economics, Statistics, Physics or a related field.
The candidate must have a curriculum with a suitable scientific background for carrying out research activity.
An excellent level of both written and spoken English is mandatory.
Knowledge of Python, R, Gephi, SQL
Selection procedure and criteria
Selection procedure conditions are transparent and are based on international standards.
A Selection Committee, appointed by the Director, assesses all applications on the basis online application info and - if provided - reference letters. Shortlisted candidates, selected on the basis of the preliminary analysis, are invited for a research presentation at IMT. Travel expenses to Lucca for the research presentation interview will not be reimbursed.
The evaluation criteria are based on: Quality of research activity, including publications in peer-reviewed journals and references; Research organization experience and participation in international/national research projects and research periods in public and private institutions (academic and non-academic); Relevance of the candidate's profile for the development of IMT's research activities; Teaching, mentoring and supervision experience; Motivation; Excellent knowledge of English, both written and spoken; As well as any other requirements as specified in the advertisement.
Apply ONLINE only.
Before starting prepare the application attachments and information as listed below.
- Personal info and contact info (compulsory)
- Number of your Identity Document (Passport or Identity Card) (compulsory)
- University degree (compulsory) and Ph.D. (obtained, or "ongoing")
- Name, position, institution and email address of three referees (compulsory)
- An email, with the appropriate instructions to upload the reference letters will be automatically generated and sent to your referees.
- Your CV in English (compulsory);
- One research paper (published or working paper): compulsory.
Shortlisted candidates will be asked to present this research paper in the final stage of the selection.