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Microsoft Hololens 2

HoloLens 2: Advanced Mixed Reality Headset

HoloLens 2 is a state-of-the-art mixed reality headset designed to enhance interaction, visualization, and control in various applications. With its ergonomic design and untethered operation, it offers an immersive AR experience, enabling seamless integration of virtual content into the real world.

The device features a high-resolution display with a wide field of view, advanced hand tracking, and eye-tracking capabilities for natural and intuitive interaction. Its lightweight, comfortable fit allows for extended use in diverse environments.

Real-Time Spatial Awareness

HoloLens 2 employs sophisticated spatial mapping and environmental awareness, enabling precise alignment of holographic content with the physical world. Its sensors and depth cameras deliver accurate 3D spatial understanding, making it ideal for simulation, visualization, and control tasks.

With voice commands, gesture recognition, and compatibility with industry-leading software, HoloLens 2 transforms workflows by providing hands-free operation and actionable insights in real time.

Videos

  • Research videos using the robot will be presented here. 

 

Publications

Sorry, no publications matched your criteria.




1 Stelle im Sekretariat (m/w/d) – 12.Dezember 2024, RefID: 2411APC

Die Montanuniversität Leoben ist eine moderne Lehr- und Forschungsstätte und bietet sehr gute
Voraussetzungen für Karrieren in wissenschaftlichen und nichtwissenschaftlichen Berufsfeldern.
Am Department Product Engineering – Lehrstuhl für Cyber-Physical-Systems gelangt die Stelle im
Sekretariat (m/w/d) zur Besetzung.

Für diese Position ist gemäß dem Kollektivvertrag für Arbeitnehmer*innen (m/w/d) der Universitäten die
Verwendungsgruppe IIb (€ 2.460,10 brutto, 14x jährlich) vorgesehen, tatsächliche Einstufung erfolgt
lt. anrechenbarer tätigkeitsspezifischer Vorerfahrung.

Vorgesehener Dienstantritt: ehest möglich
Beschäftigungsdauer: unbefristet
Beschäftigungsausmaß in Wochenstunden: 20 h (mit der Option auf Erhöhung des Beschäftigungsausmaßes ab Jänner 2026)

Aufgabenbereich

  • Unterstützung der Lehrstuhlleitung bei der Verwaltung von Terminen und Korrespondenz in
    deutscher und englischer Sprache
  • Allgemeine Verwaltungstätigkeiten
  • Büroorganisation, Korrespondenz, Parteienverkehr
  • Mitarbeit bei Projektkoordination
  • Bestellung und Zahlungsabwicklung über SAP
  • Organisation der Lehre
  • Betreuung der Studierenden und Vortragenden
  • Parteienverkehr

Anstellungsvoraussetzungen

  • Abgeschlossene kaufmännische Ausbildung (Handelsschule oder ähnlich) mit mehrjähriger,
    einschlägiger Berufserfahrung
  • Kaufmännische, fachliche und organisatorische Kenntnisse
  • Sehr gute EDV-Kenntnisse (MS Office)
  • Sehr gute Deutsch und Englisch Kenntnisse (Wort und Schrift)
  • Männliche Bewerber nur nach abgeschlossenem Präsenz-/Zivildienst

Erwünschte Zusatzqualifikationen:

  • Selbständiges und genaues Arbeiten sowie Einsatzfreude und Bereitschaft zur Übernahme von
    Eigenverantwortung
  • Tragfähigkeit
  • Organisationsgeschick
  • Koordinationsfähigkeit und Flexibilität
  • Hands-on Mentalität
  • Gepflegtes und sicheres Auftreten

Wir bieten zahlreiche Benefits, unter anderem:

  • Gute öffentliche Erreichbarkeit mit Zug und Bus
  • Flexible Arbeitszeit
  • Arbeitsmedizinische Leistungen
  • Gesundheitstag/Gesundheitsförderung
  • Universitätssportprogramm
  • Einkaufsvergünstigungen
  • Sprachförderung

Bewerbung und Unterlagen

Referenznummer: 2411APC
Ende der Bewerbungsfrist: 12.12.2024

Personen mit Behinderung oder chronischen Erkrankungen, die, die geforderten Qualifikationskriterien
erfüllen, werden ausdrücklich zur Bewerbung aufgefordert.

Um eine geschlechtsneutrale Formulierung zu gewährleisten, werden geschlechterspezifische Artikel,
Pronomen und Adjektive im Text abgekürzt dargestellt.

Leider können die Reise- und Aufenthaltskosten, die aus Anlass des Aufnahmeverfahrens entstehen,
nicht vergütet werden. Die Aufnahmen erfolgen nach den Bestimmungen des Universitätsgesetzes
2002 (UG) und des Angestelltengesetzes.

Die Montanuniversität Leoben strebt eine Erhöhung des Frauenanteiles an und fordert deshalb
qualifizierte Frauen ausdrücklich zur Bewerbung auf. Frauen werden bei gleicher Qualifikation wie der
bestgeeignete Mitbewerber vorrangig aufgenommen.

Für Ihre Bewerbung verwenden Sie bitte unser Online Bewerbungsformular auf der Homepage:
https://www.unileoben.ac.at/jobs




GelSight Mini Tactile Sensor

The GelSight Mini is an affordable, compact tactile sensor that provides high-resolution 2D and 3D surface mapping. Its plug-and-play design enables users to begin operations within five minutes of setup. Key features include:

  • High-Performance Mapping: Delivers detailed 2D and 3D surface imagery, capturing fine textures and features.

  • AI Integration: Compatible with existing computer vision techniques and software, facilitating AI training and research.

  • Compact and Robust Design: Easily integrates into various robotic systems and withstands rigorous prototyping environments.

  • Quick Gel Replacement: Allows toolless and rapid gel changes, enhancing efficiency during iterative testing.

The GelSight Mini is suitable for professionals, academics, and hobbyists interested in touch-based interfaces, robotics, and industrial scanning. Its user-friendly interface and affordability make it an accessible tool for advancing tactile sensing applications

Videos

  • Research videos using the robot will be presented here. 

 

Publications

Sorry, no publications matched your criteria.




Digit Tactile Sensor

The DIGIT sensor is a compact, low-cost, and high-resolution vision-based tactile sensor designed for in-hand robotic manipulation tasks. It improves upon traditional tactile sensors by offering a smaller form factor, enhanced durability, and streamlined manufacturing, making it suitable for multi-fingered robotic hands. DIGIT utilizes an elastomer surface to measure contact forces via image deformation captured by an embedded camera, delivering precise tactile feedback. Its modular design allows easy replacement of components, supports task-specific elastomers, and ensures robustness under repeated use. With a cost of approximately $15 per unit in batch manufacturing, DIGIT provides an accessible and effective solution for tactile sensing in robotics.

Videos

  • Research videos using the robot will be presented here. 

 

Publications

Sorry, no publications matched your criteria.




Leap Hand

The LEAP Hand is a low-cost, efficient, and anthropomorphic robotic hand designed for dexterous manipulation and robot learning. The hand is robust, durable, and capable of exerting large torques over extended periods. With a novel kinematic structure that retains all degrees of freedom in any finger position, it supports a wide range of manipulation tasks, including grasping, teleoperation, and in-hand object rotation. The LEAP Hand is open-source, with detailed assembly instructions, simulation tools, and APIs, making it accessible and scalable for research and development.

Videos

  • Research videos using the robot will be presented here. 

 

Publications

Sorry, no publications matched your criteria.




Dr. Christian Rauch

Short Bio

Dr. Christian Rauch is a Research Scientist at Bosch Corporate Research in the Robot Learning group. He received his Ph.D. degree in 2020 in Robotics and Autonomous Systems at the University of Edinburgh. He has over 10 years of experience in applying machine learning techniques to robotic perception and manipulation tasks in unstructured environments. In his current research, he focuses on the application of Foundation Models to robotic manipulation tasks in industrial and domestic contexts.

Research Interests​

Machine learning, Robot Learning, Robot Vision, Perception and Manipulation.

Contact

Dr. Christian Rauch
Research Group Leader at the Chair of Cyber-Physical-Systems
Montanuniversität Leoben
Franz-Josef-Straße 18, 
8700 Leoben, Austria 

Phone:  +43 3842 402 – 1908
Email: Christian.Rauch@unileoben.ac.at
Chat: https://unileoben.webex.com/meet/christian.rauch

Selected Publications





Richard Marecek

Student Assistant at the Montanuniversität Leoben

MarecekRichard

Short bio: Richard Marecek started at CPS in October  2024.

He is a bachelor student at Montanuniversität Leoben in the program Industrial Data Science. His research interests include industrial process modeling based on large sensor arrays and machine learning algorithms. 

Research Interests

  • Industrial Process Modeling 
  • Machine Learning
  • Python Programming

Contact

Richard Marecek
Student Assistant at the Chair of Cyber-Physical-Systems
Montanuniversität Leoben
Franz-Josef-Straße 18,
8700 Leoben, Austria 

Email: richard.marecek@stud.unileoben.ac.at




Rino Morina

Student Assistant at the Montanuniversität Leoben

RinoMorina

Short bio: Rino Morina started at CPS in October  2024.

Rino Morina is a bachelor student at Montanuniversität Leoben in the program Industrial Data Science. His research interests include data modeling based on machine learning algorithms including neural networks. 

Research Interests

  • Data Modeling 
  • Machine Learning
  • Python Programming

Contact

Rino Morina
Student Assistant at the Chair of Cyber-Physical-Systems
Montanuniversität Leoben
Franz-Josef-Straße 18,
8700 Leoben, Austria 

Email: rino.morina@stud.unileoben.ac.at




Julia Schmelz

Student Assistant at the Montanuniversität Leoben

Portrait_Schmelz

Short bio: Julia Schmelz started at CPS in October  2024.

Julia Schmelz is a master student at Montanuniversität Leoben in the program Industrial Data Science. Her research interests include data modeling based on machine learning algorithms including neural networks. 

Research Interests

  • Data Modeling 
  • Machine Learning
  • Python Programming

Contact

Julia Schmelz
Student Assistant at the Chair of Cyber-Physical-Systems
Montanuniversität Leoben
Franz-Josef-Straße 18,
8700 Leoben, Austria 

Email: julia-maria.schmelz@stud.unileoben.ac.at




Enrollment as a student

This post is intention to help future international PhD students to ease their enrollment process.

Step 1: Find a mentor and prepare your documents

You need to find a topic, working title, individual curriculum and supervising team (supervisor and mentor) yourself to be able to fill out the form. According to our curriulum for the doctoral studies the mentor needs to have a venia docendi

If your degrees are not from a EU country, you need a full authentication or an Apostille of your documents (and the translations, if your documents are not in English), please inform yourself if you’d need either an authentication or Apostille for Austria! This is valid for both, Master’s documents as well as bachelor’s!

If you can not obtain an authentication/Apostille we also accept a translation of your 4 academical documents by an officially licenced translator in Austria instead.

Step 2: Applications form

You have also required to fulfil 20 ECTS, they have to be split in main and secondary subject:

  • Courses that don’t have anything to do with your subjects (language courses etc.) you can do up to 4 ECTS
  • Privatissima (talking to your prof, SE type) for a maximum of 4 ECTS

  • There is no limit on IV courses

  • And you can also have stuff (eg. summer school) from other unis, however you have to go through the equality process (they will check if it really is equal to the ects here)

These stated in the curriculum, which is in German.

Example course:

 

Step 3: Online registration for graduates of Non-Austrian University

Create a basic account in MUonline of the university. You have to create a student account even you have a staff account.

p/s: Sign out your staff account when you’re in the process of creating a basic account.

Detailed admission process at here.

Step 4: Waiting and make appointment to verify the real document