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Tenure Track Assistant Professor in "Multi-Modal Human-Machine Communication"

TN Germany

München

Vor Ort

EUR 60.000 - 100.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

An established industry player is seeking a Tenure Track Assistant Professor in Multi-Modal Human-Machine Communication. This exciting position at a prestigious university offers the chance to lead research in cutting-edge areas such as natural language systems and machine learning. With a focus on innovative applications in VR and AR, this role promises a vibrant scientific community and excellent working conditions. The university is committed to fostering diversity and encourages applications from women and individuals with disabilities. This is a remarkable opportunity to shape the future of human-machine interaction and advance your academic career.

Leistungen

Merit-based academic career path
Excellent working conditions
Vibrant scientific community
Social benefits
Relocation assistance

Qualifikationen

  • Demonstrated scientific achievements and capacity for independent research.
  • Substantial research experience abroad and pedagogical aptitude.

Aufgaben

  • Conduct research and teach in Multi-modal human-machine communication.
  • Promote early-career scientists and engage in relevant applications.

Kenntnisse

Natural Language Processing
Image-based Interaction
Machine Learning
Deep Learning
Generative AI

Ausbildung

Doctoral Degree
University Degree

Tools

Virtual Reality (VR)
Augmented Reality (AR)

Jobbeschreibung

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Job Reference:

97702bb2f0f0

Job Views:

2

Posted:

09.05.2025

Expiry Date:

23.06.2025

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Job Description:

The Technical University of Munich (TUM) invites applications for the position of Tenure Track Assistant Professor in » Multi-Modal Human-Machine Communication « to begin as soon as possible. This is a W2 fixed-term (6-year) tenure-track professorship with the possibility for promotion to a tenured W3.

Scientific Environment

The professorship will be assigned to the TUM School of Computation, Information & Technology.

Responsibilities

The responsibilities include research, teaching, and the promotion of early-career scientists. The focus is on Multi-modal human-machine communication, especially natural language systems, image-based interaction (facial recognition, gesture recognition, action recognition), relevant in smartphone and automotive applications, virtual reality (VR), augmented reality (AR), and machine learning methods like deep learning and generative AI (e.g., ChatGPT).

Qualifications

Candidates should have demonstrated scientific achievements, capacity for independent research at the highest international level, a university degree, an outstanding doctoral degree or equivalent, pedagogical aptitude, and substantial research experience abroad.

Our Offer

TUM offers a merit-based academic career path from Assistant Professor to Full Professor, with excellent working conditions, a vibrant scientific community, and social benefits. The Munich Dual Career Office assists with relocation and integration.

Your Application

TUM encourages applications from women and persons with disabilities. Applications should be submitted according to TUM’s guidelines by 07. July 2024 via the TUM recruitment portal.

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