Econometrics, Statistics and Data Visualization

1 Assistant Professor position
(Deadline March 3rd, 2016 12:00 )
Fields

Econometrics, Statistics and Data Visualization

Activity

The position involves research in the context of scientific tasks in the framework of the funded project CRISISLAB, in particular the quantitative analysis of large databases through econometric techniques, panel data analysis, and microeconometrics; tutorship and mentoring of the Institute's Ph.D. students; limited teaching; participation in the development of the Institute's research activities.

Formal requirements

PhD in a required fields. The candidate must have a curriculum with a suitable scientific background for carrying out research activity in the required field. Excellent knowledge of English, both written and spoken. Note: Please remember to fill in the "PhD section" with all relevant information when compiling the Online Application Form.

Specific requirements

Scientific applications programming skills, good mathematical skills will be required, and candidates' knowledge will be evaluated specifically regarding: • strong statistics background; • previous research work in the domain of econometrics; • techniques on data visualization; • Knowledge of STATA, MatLab. The candidate should also be willing to work in an interdisciplinary environment and to collaborate in an international team.

Project

CrisisLab

Scientific area

Econometrics, Applied Economics, Statistical Economics, Statistics

Duration

1 year

Job Research Area: 
EIC
Job Research Unit: 
AXES
Job Contract Type: 
Assegno di ricerca
Full call
Calendar latest update

Interview on March 16th

Calendar
Preliminary shortlist
Preliminary shortlist
Final decree

Selection procedure and criteria

Selection procedure conditions are transparent and are based on international standards.

Procedure

A Selection Committee, appointed by the Director, assesses all applications on the basis online application info and - if provided - reference letters. Applicants selected on the basis of the preliminary analysis are interviewed at the Job Market Meetings in which the Institute is planning to participate, if applicable to the specific academic sector. Alternatively, individual preliminary interviews may also be conducted at IMT or by conference call. Travel expenses to Lucca for the preliminary interview will not be reimbursed. Shortlisted candidates are invited for a Job Market Presentation open to IMT faculty members and students. Travel expenses for the Job Market Presentation will be reimbursed.

Selection Criteria

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.

Application

Apply ONLINE only.

Before starting prepare the application attachments and information as listed below.

Info

  • 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.

Attachments

  • 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.
    Up to 11 additional papers can be submitted for evaluation if desired (to be attached to your application in a single zip file where indicated in the online form)
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