Nova SBE/BII/2022/02 – 2 Research Fellowships – Junior Data Consultants – Project “EPSILON – European Platform for Data Science: Incubation, Learning, Operations and Network”

Website Nova SBE

A call for applications for 2 Research Fellowships – Junior Data Consultants is open at Nova School of Business and Economics (NOVA SBE) under the Project “EPSILON – European Platform for Data Science: Incubation, Learning, Operations and Network”, funded by Erasmus+, with the following conditions:

MAIN FIELD:……….………………………………………………………………………………….

Data Science for Social Good, Qualitative Research

ADMISSION REQUIREMENTS: ………………………………………………………………………..

  1. All candidates should be currently enrolled in a master’s program and available to dedicate part-time to the fellowship (mandatory).
  2. Background in Economics, Finance, Management, or other Social Sciences (preferred).
  3. Excellent communication skills, both written and verbal, in English (mandatory).
  4. Excellent skills of structuring knowledge and information (mandatory).
  5. Additional experience volunteering for Data for Good organizations (preferred).
  6. Additional courses or experience in Project Management/ Consulting (preferred).
  7. Demonstrated interest in social good (e.g., worked with or for a non-profit/ impact driven organization) (preferred).

WORK PLAN: ………………………………………………………………….………………………..

Goals of the Project: This project aims to transfer multi-disciplinary knowledge in the field of data science applied to social good into innovative learning material for European High Education Institutions. The goal is to provide target-group-specific learning material that can be used by both institutions of higher education as well as interested data enthusiasts.

We aim to provide European data enthusiasts with open access to relevant knowledge-based resources through an open-access platform. The outcome of the project, the platform, should provide comprehensive knowledge to support volunteers individually and in teams with customized learning material, workflows for efficient internal processes, best practices in data science for social good, and analytics tools. The availability of such a platform could lower the barriers for new social data science initiatives all over Europe and provide guidance for interested data scientists to support the permeation of data science where it can make a positive impact. To test the usability of the platform, we aim to organize a new voluntary initiative in Lithuania.

The objective for this project is to increase the visibility of and promote voluntary data science for social good, with a vision that every country in Europe gets access to high-quality data science services for social impact.

Work Plan:

  1. Initial analysis: State of the Art – the initial analysis will focus on literature research to compile information on current European initiatives by analyzing the core academic researchers in the field of Data for Good applications and the current and ongoing Data for Good initiatives and their flagship projects.
  2. Stakeholder Interviews – conduct interviews with relevant stakeholders, focusing on assessing their needs, namely by identifying the challenges faced when creating and implementing a Data for Good non-profit association in Europe.
  3. Focus Groups – the third task will consist of joining the different EPSILON stakeholders into focus groups, to collect ideas and opinions on the needs and best practices in creating an association, in a discussion.
  4. Creation of Workflows – compile the best practices on key management activities for Data for Good initiatives, based on the previous tasks.
  5. Multiplier Events – support the planning and organization of the Multiplier Events with EPSILON partners and other stakeholders.
  6. Training for International Students – support the planning and organization of the training sessions. The goal is to co-create with students, an institution, and a volunteer from a Data for Good organization a practical approach where data science will be applied to a real-life use case.

You will be part of a team composed of a Principal Investigator, a Project Manager, and a Junior Data Consultant that work together with 3 international partners: Hochschule Harz (Germany), Vilnius University (Lithuania) and University of Cyprus (Cyprus).

Main responsibilities of the candidates:

We are looking for an independent, self-motivated, and goal-oriented individual that will work to achieve the following objectives.

  1. Identify Data for Good initiatives and develop a benchmark study.
  2. Identify key stakeholders for interviews and focus groups.
  3. Support the designing of the interviews and focus groups’ guidelines.
  4. Schedule and organize interviews and focus groups with participants.
  5. Structure and organize the key learning and conclusions from the interviews and focus groups.
  6. Support the planning, organization, and content development for key events and training sessions.
  7. Report and escalate issues to management as needed.
  8. Perform risk management to minimize project’s impact.
  9. Develop project status’ reports and briefings.
  10. Create and maintain comprehensive project documentation.

APPLICABLE LAW AND REGULATIONS:…………………………………………………………..

Research Fellowship Holder Statute (“Estatuto do Bolseiro de Investigação Científica”), approved by Law n.º 40/2004, of 18th August, subsequently amended and republished by Decree-Law n.º 202/2012, of 27th August, updated in accordance with Decree-Law n.º 233/2012, of 29th October, Law n.º 12/2013, of 29th January, and with Decree-Law n.º 89/2013, of 9th July, updated in accordance with Decree-Law n.º 123/2019, of 28th August. Fellowship Regulations of Nova SBE, approved by FCT, I.P. by Dispatch of 16th April 2014 and Regulations for Studentships and Fellowships of the FCT, I.P. Fellowship Regulations of Nova SBE, approved by FCT, I.P. by Dispatch of 16th April 2014 and Regulations for Studentships and Fellowships of the FCT, I.P., approved by Regulation 950/2019, of 16th December.

WORKING PLACE:………………………………………………………………………………………

The research will be conducted at Nova SBE under the scientific supervision of Professor Leid Zejnilovic. (hybrid work may be allowed)

DURATION OF THE FELLOWSHIP:……………………………………………………………………

The fellowship will have a duration of 6 months, with possibility of renewal for the length of the project, subject to review. The fellowship will be awarded on an exclusive basis, as stated in Regulations for Studentships and Fellowships of FCT, I.P.

MONTHLY ALLOWANCE:………………………………………………………………………………

The fellowship amounts to €486.12, according to the table of monthly stipends available in the Regulations for Studentships and Fellowships of FCT, I.P. (http://www.fct.pt/apoios/bolsas/valores).

SELECTION CRITERIA:…….…………………………………………………………………………

The selection will be carried upon 3 evaluation stages, performed in an eliminatory manner, consisting of 1) the evaluation of the CV (20%) and motivation letter (10%), 2) data management challenge (30%), and 3) interviews (40%).

SELECTION COMMITTEE: ……………………………………………………………………………..

Leid Zejnilovic – Chairman (Assistant Professor)

Susana Lavado – Effective member (Senior Data Scientist)

Bruna Riboldi – Effective member (Project Manager)

Lénia Mestrinho – Substitute member (Executive Director Nova SBE Data Science Knowledge Center)

Alice Caetano – Substitute member (Project Manager)

FORMAL NOTIFICATION OF RESULTS:………………………………………………………………

All candidates will be notified by email.

APPLICATION PERIOD:….……………………………………………………………………….……

The call is open from 16 to 27 May 2022.

APPLICATION PROCEDURE:…………………………………………………………………………..

Applications must be submitted by email to research.office@novasbe.pt, under the subject Nova SBE/BII/2022/02, and must include the following documents (mandatory):

  1. Motivation letter;
  2. Detailed Curriculum Vitae;
  3. Transcripts of diplomas or degrees with final grades and other documents demonstrating the candidate’s suitability for the required profile;
  4. For degrees obtained abroad applicants must submit the recognition of the academic degree and the converted final grade to the Portuguese grading scale (following the Decree-Law no 341/2007 of 12 October), or the recognition of foreign qualifications (following the Decree-Law no. 283/83, of 21 June). (OPTIONAL)

In accordance with the article 12 of Regulamento de Bolsas de Investigação Científica of Nova SBE, the candidate can appeal from the decision with the Scientific Council of Nova SBE, Faculdade de Economia da UNL, within 10 working days.


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