[Application] Digital Internship of the FORTHEM Green Sustainability Unit

Activity Type: External Resource
Knowledge Category: Education
Language(s): English
Subtitles Language(s): ---
Estimated Workload (hours): 0
Max. Participants: Unlimited
Teacher(s): ---
Start Date: 11/03/24 01:00
End Date: 11/03/24 01:00
Enrollment Method: Open
INTRODUCTION OF THE
FORTHEM GREEN UNIT
Green
Sustainability is
one of the main focuses of the FORTHEM Alliance which moves towards a
sustainable and green European university. For this purpose, a Green
Sustainability Unit has
been made up of Academic and Administrative experts from each partner
University as a central contact point for activities and requests
concerning environmental sustainability within the Alliance. One of
the objectives of this unit is to elaborate a common Code
of Conduct,
including teaching recommendations, which results from the review
process of current practices and policy across partners University.
Selected interns will have the opportunity to actively participate in
this project, coordinated by an international team of experts.
OBJECTIVES
OF THE INTERNSHIP:
Development
of analytical skills: Learn how to analyze and synthesize data,
questionnaire responses, or other relevant information. Research
skills: Acquire competence in conducting thorough research,
including data collection from diverse sources and synthesizing them
into a coherent context. Communication
skills: Develop the ability to present and communicate results
clearly and persuasively. Time
Management and Organization: Learn to plan and manage work
efficiently, meeting deadlines and predetermined objectives. Problem-Solving
skills: Learn to address and resolve challenges that may arise
during the mapping process, such as interpretation of complex
data. Continuous
Learning: Develop a mindset oriented towards continuous learning,
acquiring new knowledge and skills specific to the field of study. Critical
and analytical thinking: Develop the ability to critically evaluate
collected information, distinguishing between valid data and less
reliable sources.