Post-Doctoral Research Fellowship (BIPD) in Management/subfield Operations & Data Science (Ref. CUBE-Operations&DataScience-BIPD/2)
15 Mar 2024
Job Information
- Organisation/Company
Universidade Católica Portuguesa - CATÓLICA-LISBON- Department
Católica Lisbon Research Unit in Business and Economics (CUBE)- Research Field
Management sciences- Researcher Profile
First Stage Researcher (R1)- Country
Portugal- Application Deadline
5 Apr 2024 - 17:00 (Europe/Lisbon)- Type of Contract
Not Applicable- Job Status
Full-time- Offer Starting Date
15 Mar 2024- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
CUBE - Católica Lisbon Research Unit in Business and Economics at Católica Lisbon School of Business & Economics, Universidade Católica Portuguesa, is awarding one Post-Doctoral Research Fellowship (BIPD) in the scientific field of Management - subfield of Operations and Data Science for the development of research in the frame and with the financial support of CUBE – CATÓLICA-LISBON Research Unit in Business and Economics (ref. UIDP/00407/2020) funded by Fundação para a Ciência e Tecnologia, I.P (FCT, IP) / MCTES through national funds (PIDDAC).
As a postdoc researcher, you will work under the supervision of Professors Miguel Godinho de Matos and Nicolò Bertani and contribute to literature review, data collection, data analysis, presentation at international conferences, scientific article writing, and grant writing.
This is a full-time position for a fixed-term period from May 2024 to December 2024.
WORK PLAN AND GOALS
The research fellow will work with Professors Miguel Godinho de Matos and Nicolò Bertani and the CUBE research team. The main duties of the researcher are:
- Contribution to literature review, data collection and analysis;
- Presentation in international conferences and professional events;
- Scientific Article and Grant writing.
Requirements
- Research Field
- Economics
- Education Level
- PhD or equivalent
Skills/Qualifications
- Strong knowledge in econometrics and/or statistics;
- Experience in programming in R or Python for scientific research;
- Ability to work individually and collaboratively;
- Potential and desire to publish research papers in top international scientific journals in management or economics;
- High motivation and interest in developing a research agenda with direct and frequent interactions with industry partners.
Specific Requirements
- Research interest and research or work experience in the field of digital;
- Knowledge in Econometrics for program evaluation;
- Knowledge in Machine Learning for prediction.
- Languages
- ENGLISH
- Level
- Excellent
- Research Field
- Management sciences
Additional Information
Benefits
The fellowship’s maintenance allowance is 1.801,00 € per month. The fellowship holder will be covered by a personal accident insurance.
If not covered by any social protection scheme, the fellowship holder can ensure the right to Social Security through adherence to the Voluntary Social Security scheme, pursuant to "Código dos Regimes Contributivos do Sistema Previdencial de Segurança Social". Provided that the awarded fellowship has a minimum duration of 6 months, the fellowship holder will be entitled to assume, by UCP, the charges resulting from the contributions that apply to the first bracket referred to in article 36 of Decree-Law no. 40/89, of 1 February, with the increase in charges arising from the option for a higher incidence base on its own.
Eligibility criteria
- At the time of application, candidates must have completed a PhD degree, obtained not more than three years before the start date of the fellowship, in the scientific field of Economics or closely related fields;
- The doctoral work should not have been accomplished in the institution awarding the present fellowship;
- Only candidates who do not exceed, with the conclusion of the fellowship contract referred to in this notice, including the planned renewals, a cumulative period of three years in this type of fellowship, consecutive or interpolated, are eligible.
Selection process
The candidates’ final classification shall be presented on a scale of 0 to 20.
The selection will made in 2 phases:
1. First, candidates are assessed based on 2 criteria focusing on scientific and curricular background (PC):
A. Academic curriculum assessment: 50%
B. Expertise in the work field, including previous research experience: 30%
C. Data collection and analysis skills: 20%
PC = (0,50 x A) + (0,30 x B) + (0,20 x C)
A minimum of 15 points is needed for a candidate to be considered eligible for the position.
If necessary, candidates may be called for an interview, in which case the interview will not be scored or weighted in the final classification and will only serve to clarify the information provided.
The selection panel reserves the right not to select any candidate if it considers that none of the candidates has the required profile.
- Website for additional job details
https://clsbe.lisboa.ucp.pt/research/research-positions
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Universidade Católica Portuguesa - CATÓLICA-LISBON
- Country
- Portugal
- City
- Lisbon
- Postal Code
- 1649-023
- Street
- Palma de Cima
- Geofield
Where to apply
[email protected]
Contact
- City
Lisbon- Website
https://www.clsbe.lisboa.ucp.pt- Street
Universidade Católica Portuguesa, Palma de Cima, 1649-023 Lisboa, Portugal- Postal Code
1649-023
[email protected]- Phone
934024867
STATUS: EXPIRED
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