Only to be used for Argus Award website
ARGUS Award and Professors' Day
ARGUS Award and Professors' Day

Innovation meets science

The ARGUS Award and the Professors' Day offer a unique platform for exchange between science and industry. Leading academic experts, research institutions and industry representatives come together to present new technological developments and initiate long-term collaborations.

What can you expect?

  • Inspiring specialist presentations and exciting discussion rounds
  • Networking with top experts from science and industry
  • Promotion of innovative ideas and technological breakthroughs

A special highlight is the ARGUS Award, which recognizes outstanding final theses by students. In this way, we send out a clear signal for the promotion of young talent and the future of the technology industry.

Our focus is on pioneering solutions in the fields of high-frequency, algorithms, signal processing, Artificial Intelligence and information. Join us and help shape the innovations of tomorrow!

For more information contact: ARGUS@hensoldt.net

Only to be used for Argus Award website
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Our mission

Dr Guy Kouemou Technology Director HENSOLDT

Collaboration with research institutes and universities provides the company with new findings in the specialist areas and is important for the further development of the technology group's product portfolio. The long history of the Professors' Day and the Argus Prize shows that we can only meet the challenges of the future in close cooperation with research institutes, universities as well as universities of applied sciences.

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A network of academia, industry and emerging talents

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Our event brings together experts from academia and industry and is aimed at a broad target group:

  • Professors and academic experts – Specialized in high-frequency technologies, algorithms, signal processing, artificial intelligence, information and communication technologies
  • Students and graduates – From the 5th semester onward, including interns and graduates (Bachelor’s, Master’s, Diploma)
  • Research institutions and innovation centers – Renowned organizations such as the Fraunhofer Institute and other academic and industrial research partners
  • HENSOLDT professionals – Technology managers, project leaders, product owners, HR teams, and experts in innovation and talent development
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Recognition for outstanding theses

The ARGUS Award recognizes excellent scientific achievements and promotes the link between research and industry. Every thesis submitted is honored, and the best theses receive attractive prize money.

Prize money:

  • 1st place: € 2,000
  • 2nd place: € 1,500
  • 3rd place: € 1,000
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Advantages and goals

  • Recognition of outstanding scientific work
  • Networking opportunities
  • Attractive prizes for the best performances
  • Visibility and recognition in science and industry
  • Direct exchange with leading companies and research institutions
  • Career opportunities through valuable industry contacts
  • Support of innovation and technological development
  • Invitation to special events

Do you have an outstanding thesis? Take your chance and talk to your professor - maybe you will be one of the winners of the next ARGUS Award!

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Process

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Nomination

  • Submission of theses by graduates or proposal by professors
  • Admission criteria: Departments of Radar, Electronic Warfare, Optronics, Multi-Domain Solutions
  • Deadline for the submission of theses

Deadline: 07.2025

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Testing and selection

  • Evaluation by an independent jury from science & industry
  • Criteria: Innovation, practical relevance, scientific excellence
  • Selection of the best theses for the award ceremony

Deadline: 10.2025

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Award ceremony

  • Poster sessions of the selected theses
  • Announcement & honoring of the winners
  • Prize money: 1st place - €2,000 / 2nd place - €1,500 / 3rd place - €1,000
  • Networking & exchange with industry experts

Date: 04-05.11.2025

FAQ and organizational questions

Our know-how and our organizational structure

Students and graduates from the 5th semester onwards who have written a thesis in the fields of of high-frequency, algorithms, signal processing, Artificial Intelligence and information.

The thesis may have been written as part of a Bachelor's, Master's or Diploma degree course.

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