INTERNSHIP DETAILS

Pflichtpraktikum: System, IV & V & Test Engineering

CompanyHENSOLDT
LocationUlm
Work ModeOn Site
PostedAugust 3, 2026
Internship Information
Core Responsibilities
The intern will be responsible for data preparation and annotation of radar data using database solutions like SQL. Additionally, they will train and compare various classifiers on the generated datasets.
Internship Type
full time
Company Size
3913
Visa Sponsorship
No
Language
German
Working Hours
40 hours
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About The Company
HENSOLDT is a leading company in the European defence industry with a global reach. Based in Taufkirchen near Munich, the company develops sensor solutions for defence and security applications. As a system integrator, HENSOLDT offers platform-independent, networked sensors. At the same time, the company is driving forward the development of defence electronics and optronics and investing in new solutions based on software-defined defence. In addition, the company is expanding its range of offers to include new service models and is extending its portfolio of system solutions. In 2024, HENSOLDT achieved a turnover of 2.24 billion euros. Following the acquisition of ESG GmbH, the company employs around 9,500 people. HENSOLDT is listed on the Frankfurt Stock Exchange in the MDAX. HENSOLDT has 10 manufacturing sites - located in Germany, South Africa, the UK and France. Our company benefits from our international footprint with offices on all continents. Our Headquarter is located in Taufkirchen near Munich. Our main sites have all their own product lines and are located in innovative areas: Ulm, Taufkirchen, Friedrichshafen, Oberkochen, Wetzlar and Kiel in Germany, Pretoria and Irene in South Africa, Enfiled close to London, and Plaisir close to Paris. Why join us? We pioneer with passion to create competitive premium electronics. Our core competence is to detect and protect: we make an essential contribution to protecting people and nations. We offer various and challenging positions with development perspectives in a friendly and cooperative atmosphere in teams, where collaboration is a key value shared by everyone. Within HENSOLDT you can be a pioneer, take part in new challenges, co-create our company and grow: “Be the Pioneer of our Future!” Our data privacy statement: https://www.hensoldt.net/data-protection-notice
About the Role

 

Über den Bereich

 

Im Bereich Radar Concepts & New Products Engineering bieten wir eine Praktikantenstelle am Standort in Ulm.

 

 

Deine Aufgaben

 

  • Einarbeitung in Machine/Deep Learning
  • Datenaufbereitung & Annotation von Radardaten
  • Erstellen von Datensätzen mittels Datenbanklösungen, z. B. mit SQL Queries
  • Training und Vergleich von verschiedenen Klassifikatoren auf den erstellten Datensätzen

 

 

Dein Profil

 

  • Laufendes Studium im Bereich Data Science, Informatik, Wirtschaftsinformatik oder vergleichbar
  • Interesse an Machine Learning, Data Analytics und der Analyse großer Datenmengen
  • Erste Kenntnisse in Datenaufbereitung, Datenbanken oder statistischen Methoden wünschenswert
  • Analytische, lösungsorientierte und strukturierte Arbeitsweise

 

Bitte lade bei deiner Bewerbung die aktuell gültige Immatrikulationsbescheinigung hoch.

 

Willst du Teil eines zukunftsorientierten Unternehmens werden? Bist du bereit, Verantwortung in spannenden internationalen und nationalen Projekten zu übernehmen? Dann bist du unser Kandidat!
Bewirb dich bitte ausschließlich online über unser Karriereportal mit deinem Lebenslauf und deinen Zeugnissen.

Solltest du weitere Fragen haben, kannst du dich gerne an unser Recruiting-Team wenden: jobs@hensoldt.net

Erfahre mehr über HENSOLDT und unsere Stellenangebote: www.hensoldt.net/studierende

Bewirb dich jetzt!

HENSOLDT setzt sich für Vielfalt und eine integrative Firmenkultur ein. Daher begrüßen wir alle Bewerbungen – unabhängig von Herkunft, Alter, Geschlecht, Behinderung, Identität oder Weltanschauung.

Key Skills
Machine LearningDeep LearningData PreparationData AnnotationRadar DataSQLDatabase ManagementData AnalyticsStatistical MethodsData ScienceComputer ScienceBusiness Informatics
Categories
Data & AnalyticsEngineeringTechnologySoftwareScience & Research