Research Fellowship for Digital Transformation in Management Sciences
Há 2 dias
We are seeking a highly motivated Research Fellow to join our team at Nova School of Business and Economics (NOVA SBE) under the Project Research Fellowship – Junior Consultant. This is an excellent opportunity to contribute to the development of a digital transformation diagnosis study for a non-profit organization.
About the Job:
As a Research Fellow, you will be responsible for supporting the identification of opportunities for the digital transformation of the organization. You will participate in the priority process's selection, mapping, and analysis activities, and prepare the necessary documentation and project reports. You will also attend daily check-ins with the team, weekly status meetings internal and external, and any other meetings related to the project.
Main Responsibilities:
- Support the identification of opportunities for the digital transformation of the organization.
- Participate in the priority process's selection, mapping, and analysis activities.
- Prepare the necessary documentation and project reports.
- Attend daily check-ins with the team, weekly status meetings internal and external, and any other meetings related to the project.
About Us:
Nova SBE is a leading business school in Europe, known for its rigorous academic programs and innovative research. Our Data Science Knowledge Center (DSKC) aims to advance the knowledge about data-driven decision-making and its application in society. By joining us, you will be part of one or more project teams that can be composed of a Principal Investigator (Faculty member), a Project Manager, and Data Scientists/ Analysts/ Consultants as needed.
Required Skills and Qualifications:
- A background in Management, Economics, Engineering, or Data Science.
- Demonstrated interest in social good.
- Fluency in English, both written and verbal.
Benefits:
- The fellowship amounts to €601.12 per month.
- The fellowship will have a duration of 4 months, with possibility of renewal for the length of the project, subject to periodic reviews.
How to Apply:
Applications must be submitted by email, including the following documents: detailed Curriculum Vitae, transcripts of diplomas or degrees with final grades, and motivation letter. The selection will be carried out upon the evaluation of the CV, motivation letter, data challenge, and interview. All candidates will be notified by email.
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