Substance use, harms and responses unit: Early Warning, Alert, Lab Network sector traineeship (TR/2027/15)

Status:

Open

Published date: 24.07.2026

Introduction

The successful applicant will be requested to perform the following main tasks and responsibilities:

  • Support the operation of the systems implemented by the EAL sector according to the candidate’s expertise, namely the European Union Early Warning System, the European Drug Alert System, and the Network of Forensic and Toxicological Laboratories.
  • Support the management and visualisation of datasets.
  • Support the preparation of technical reports.
  • Support the monitoring of open-source information.
  • Review and summarise information published in the scientific literature.
  • Any other task assigned by the Head of Sector.

Call details

  • Open date:24.07.2026
  • Closing date: 25.08.2026, 23:59 (Lisbon time)
  • Type of call:Job vacancy
  • Contract type:Traineeship
  • Reference:TR/2027/15
  • Duration of contract:11 months

Eligibility requirements:

  • Be a national of one of the Member States of the European Union, Norway or Türkiye.
  • Have fulfilled any obligations imposed by the applicable laws concerning military service.
  • Be physically fit to perform the duties of the post.
  • Have completed the first cycle of a higher education course (university education) and obtained a full degree or its equivalent by the closing date for applications.
  • Have obtained the most recent higher education degree (graduate, postgraduate or doctoral) no more than three years before the deadline for applications.
  • Have a thorough knowledge of oral and written English.

General selection requirements:

  • Digital and technical curiosity.
  • Good command of Microsoft tools (Excel, Word, Outlook) and collaborative platforms (SharePoint, Teams).
  • Experience using AI or curiosity towards AI-enabled optimisation (not necessarily technical development, but applied use).
  • Analytical thinking, structured problem-solving skills and the ability to be innovative.
  • Precision and attention to quality and detail.
  • Willingness to learn.
  • Ability to work together.
  • Self-management skills.
  • Communication skills.
  • Entrepreneurship skills.

Profile-specific selection requirements:

  • A university degree in a relevant subject (such as data science, informatics, mathematics, chemistry, pharmacology, toxicology, forensic science, medicine, public health, pharmacy, or similar).
  • Strong analytical and data management skills.
  • Data visualisation skills.
  • Advanced user of AI tools.
  • Experience working or studying in the field of illicit drugs or new psychoactive substances, or both.

Related documents

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