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Studentermedhjælper søges til forskningsprojekt om asylmodtagelse i Danmark

Gistrup
Published Nov 18, 2025

Role highlights

Contract type

Full Time

Schedule

Permanent

Experience

Intern

Work style

On-site

Key skills

This student assistant position involves participation in a research project focused on asylum reception in Denmark. The primary responsibility is to analyze documents from the asylum reception system using machine learning techniques. Candidates should be currently enrolled students, as the position requires a commitment of approximately 8 hours per week until December 31, 2025. The role demands familiarity with document analysis and practical experience or academic knowledge in applying machine learning methods to textual data. Strong analytical skills, attention to detail, and the ability to work independently within a research environment are essential. Applicants should be able to articulate their academic and personal competencies related to research and data analysis in their application. As the position is embedded within Aalborg University’s Department of Politics and Society, an interest in social sciences, political studies, or related fields could be advantageous. The job requires adherence to university policies and possibly participating in risk assessments to ensure workplace safety and compliance. Effective communication skills are important for collaboration and reporting findings. Overall, this role suits students with a foundational understanding of machine learning applications in document or data analysis, an interest in asylum and migration studies, and the ability to manage part-time research duties responsibly within an academic setting.

#Studentermedhjælper #Projektmedarbejder #Forskningsmedarbejder #Dataanalytiker #Forskningsassistent #Dataassistent #Studenterassistent #Maskinlæringsassistent #Dokumentanalytiker #Asylforskningsassistent

About the role

Rolleoversigt

  • Deltag i forskningsprojekt om asylmodtagelse i Danmark
  • Analysér dokumenter fra asylmodtagelsessystemet ved hjælp af maskinlæring
  • Stillingen er i gennemsnit 8 timer ugentligt
  • Ansættelse hurtigst muligt, udløber 31.12.2025

Ansvarsområder

  • Dokumentanalyse med maskinlæring

Ansøgning

  • Ansøgning skal indeholde:
    • Ansøgning med beskrivelse af faglige og personlige kompetencer samt erfaringer
    • CV
    • Studiejournal
  • Læs mere om krav til ansøgning her
  • Ansøgning sendes via Aalborg Universitets rekrutteringssystem under stillingsopslaget på universitetets hjemmeside
  • Ansøgningsfrist: 1.12.2025
  • Skriv venligst i din ansøgning at du fandt jobbet på Jobindex

Løn- og ansættelsesvilkår

Yderligere information

  • Læs mere om rekrutteringsprocessen her
  • Ansættelsesprocessen kan omfatte en risikovurdering for at sikre arbejdspladsens sikkerhed, compliance og integritet
  • Aalborg Universitet ønsker at afspejle det omgivende samfund og har diversitet som kerneværdi. Alle opfordres til at søge uanset baggrund og orientering

Kontakt

  • Spørgsmål om stillingen: Kontakt Karen N. Breidahl, Institut for Politik & Samfund, 26801732, [email protected]

Om Aalborg Universitet

  • International arbejdsplads med mere end 3700 ansatte
  • Tilbyder virkelighedsnære uddannelser og forskningsresultater i verdensklasse
  • Hovedcampus i Aalborg, også campus i Esbjerg og København