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

One vacant position for a full-time Senior Scientist (m/f/d) at the Chair of Cyber-Physical-Systems in the Department Product Engineering from the earliest possible date in a 3-year fixed-term employment contract; with the option of a qualification position after positive evaluation according to §99 para. 5 (UG 2002), equivalent to a tenure track assistant professorship.

Salary Group B1 according to the Uni-KV, monthly minimum salary excl. Szlg.: € 4.752,30 for 40 hours per week (14 x per year).

We are looking for a researcher with high personal motivation for scientific excellence and integrity, with the ability to solve problems and enjoy working in research teams in an interdisciplinary and internationally oriented environment.

Core Responsibilities

• Independent teaching in the areas of digitalization / data modelling / programming, artificial intelligence/machine learning and robotics.

• Extension and active participation in the group’s research on topics such as Computer Vision, Deep Learning, Large Language Models, Machine Learning, Reinforcement Learning, Smart Devices, Tactile Learning, Autonomous Systems, Mixed Reality, Autonomous Navigation, Human-Robot Interaction, Interactive Learning, Manipulation, Probabilistic Inference, Robot Learning, Simulation, Spiking Neural Networks and Transfer Learning, demonstrated by publications at international conferences (e.g. AAAI, AISTATS, CoRL, ICML, ICRA, IJCAI, IROS, NeurIPS, RSS) and in renowned journals (e.g. AURO, IJRR, JMLR, MLJ, Neural Computation, SciReps, TRo).

• Leading project management tasks and applying for funding to support and further develop the chair’s research priorities.

• Promotion of interdisciplinary collaboration and publication of research results in high-ranking scientific journals and conferences.

Requirements

• Degree in computer science, physics, telematics, electrical engineering, mechanics, robotics,
  mathematics or related studies with a doctorate in a relevant subject
• Experience in at least one of the following areas or related topics: Machine Learning, Neural Networks,
  Robot Learning or Learning Sensor Systems.
• Willingness and ability to co-supervise scientific work and to publish research results.
• Programming experience in one of the following languages: C, C++, C#, JAVA, Python or similar.
• Ability to work in a team, sociability, self-motivation and reliability in a growing team.
• Good command of English and willingness to travel for research and technical presentations.

Desired Additional Qualifications

Several years of professional experience in the above-mentioned subject areas or experience as a postdoc or research group leader in international teams.

Application Documents Required:

A complete application includes a (1) detailed curriculum vitae, (2) a letter of motivation with a reference to the desired research and teaching field from the above-mentioned subject areas, (3) two letters of recommendation, (4) all relevant certificates of previous education for bachelor’s, master’s and doctoral studies, (5) name, email and telephone number of two further references for contact, (6) previously published or submitted publications, the doctoral thesis and potential patents in the form of links integrated into a PDF file.

We Offer:

The Senior Scientist will be employed for a fixed term of three years. After one year, the position will be evaluated with the possibility of extending the position or extending the position to a career position in accordance with §99 para. 5 (UG 2002). 

We offer a varied and independent job. A team-oriented working atmosphere, intensive cooperation with project partners and involvement in teaching offer ideal opportunities for professional and personal development. The Montanuniversität promotes career paths and offers excellent conditions for social diversity in a contemporary working environment.

For further information, please contact cps@unileoben.ac.at.

Reference ID: 2406WPE Job portal of the university
Application deadline: 08.08.2024

The Montanuniversitaet Leoben intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration. Scientific experience demonstrated through publications in international conferences and journals on machine learning, neural networks, robotics, or embedded systems. Good team-leading skills and the ambition to supervise doctoral students. Experience in obtaining external funding and in collaborating with industrial partners is advantageous but not a requirement. Excellent English skills and willingness to travel for research and to give technical presentations are required.

1 Lehrlingsstelle für den Lehrberuf “Informationstechnologie mit Schwerpunkt Betriebstechnik” (Lehrzeit 4 Jahre) am Department Product Engineering – Lehrstuhl für Cyber Physical Systems ab der Montanuniversität Leoben ab 01.09.2023 zu besetzen (die Lehrlingsentschädigung gemäß Kollektivvertrag beträgt im 1. Lehrjahr 863,20 € (14x jährlich)).

Besondere Erfordernisse:

• Abschluss der allgemeinen Schulpflicht
• Interesse an Technik
• Gute Englischkenntnisse in Wort und Schrift

Aufgabengebiet:
• Auswählen, Einrichten, Synchronisieren und in Betrieb nehmen von (auch mobilen) Benutzerendgeräten und Peripheriegeräten sowie Konfigurieren von Endgeräten.
• Auswählen und in Betrieb nehmen von neuen Netzkomponenten.
• Konzipieren und Planen von Datenspeichersystemen sowie Implementieren und Testen von Datenspeichersystemen inklusive Backup-Lösungen.
• Konfigurieren von Serversystemen und deren Basisdiensten sowie Testen der Konfiguration.

Erwünschte Zusatzqualifikationen:
• Programmier-Grundkenntnisse in einer aktuellen Programmiersprache (C, C++, Python o.ä.)

Referenznummer: 2303API

Ende der Bewerbefrist: 04.05.2023

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

1 position for a fully employed University Assistant at the Chair of Cyber-Physical-Systems at the earliest possible date or beginning on 1^st of July 2022 in a full-time (100%) 4-year term of employment. Salary Group B1 to Uni-KV, monthly minimum charge excl. SZ.: € 3.058,60 for 40 hours per week (14 times a year), actual classification takes place according to accountable activity-specific previous experience.

We are looking for a motivated student interested in a PhD thesis on “Machine Learning of Robot Motor Skills”. The goal of the doctoral thesis is to develop probabilistic or deep neural networks for interactive learning of autonomous systems and industrial processes. This will involve processing complex sensor data such as from RGB-D cameras, tactile data and sensory data of the industrial machines for motion control of robotic systems. The developed models will be tested using realistic industrial applications for process modeling and with robotic systems within our AI Robot Lab.

What we offer

The opportunity to work on research ideas of exciting modern topics in artificial intelligence and robotics, to develop your own ideas, to be part of a young and newly formed team, to go on international research trips, and to receive targeted career guidance for a successful scientific career.

Job requirements

Completed master’s degree in computer science, physics, telematics, statistics, mathematics, electrical engineering, mechanics, robotics, mechanical engineering or an equivalent education in the sense of the desired qualification; Programming experience in one of the languages C++, Python or similar; Experience in robotics, with ROS, and reinforcement learning or in machine learning. Willingness and ability for scientific work in research including publications with the possibility to write a dissertation.

Desired additional qualifications

Experience with movement primitives, Keras, Tensorflow and graphical models. Basic knowledge of Linux is advantageous. Good English skills and willingness to travel for research and to give technical presentations.

Application

Application deadline: June 2nd, 2022

Online Application via: Montanuniversität Leoben Webpage (2205WPC)

The Montanuniversitaet Leoben intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration.

1 position for a fully employed University Assistant at the Chair of Cyber-Physical-Systems at the earliest possible date or beginning on 1^st of January 2022 in a full-time (100%) 4-year term of employment. Salary Group B1 to Uni-KV, monthly minimum charge excl. SZ.: € 2.971,50 for 40 hours per week (14 times a year), actual classification takes place according to accountable activity-specific previous experience.

We are looking for a motivated student interested in a PhD thesis on “Robot Learning”. The goal of the doctoral thesis is to develop deep neural networks for interactive learning of autonomous systems and industrial processes. This will involve processing complex sensor data such as from thermal/RGB-D cameras and tactile data for decision making in “greybox” approaches. These hybrid approaches combine the effectiveness of deep neural networks for processing complex data with predictions from analytic dynamic models. The developed models will be tested using realistic industrial applications for process modeling and with robotic systems.

What we offer

The opportunity to work on research ideas of exciting modern topics in artificial intelligence and robotics, to develop your own ideas, to be part of a young and newly formed team, to go on international research trips, and to receive targeted career guidance for a successful scientific career.

Job requirements

Completed master’s degree in computer science, physics, telematics, statistics, mathematics, electrical engineering, mechanics, robotics or an equivalent education in the sense of the desired qualification; Programming experience in one of the languages C, C++, C#, JAVA, Matlab, Python or similar; Willingness and ability for scientific work in research including publications with the possibility to write a dissertation.

Desired additional qualifications

Experience with neural networks, machine learning methods or reinforcement learning. Basic knowledge of Linux or ROS is advantageous. Good English skills and willingness to travel for research and to give technical presentations.

Application

Application deadline: December 15th, 2021

Online Application via: Montanuniversität Leoben Webpage (2111WPH)

The Montanuniversitaet Leoben intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration.

1 Stelle für eine/n halbbeschäftigte/n Sekretär/in am Department Product Engineering – Lehrstuhl Cyber
Physical Systems an der Montanuniversität Leoben ab ehest möglichem Termin in einem unbefristeten
Arbeitsverhältnis Verw.Gr. IIb nach Uni-KV, monatl. Mindestentgelt exkl. Szlg.: 2.023,50 € für 40 Wochenstunden (14xjährlich), tatsächliche Einstufung erfolgt lt. anrechenbarer tätigkeitsspezifischer Vorerfahrung).

Aufgabenbereich

Korrespondenz; Buchhaltungs- und Verrechnungsaufgaben; Tätigkeiten im Zusammenhang mit MU_online und PURE betreffend den Lehrstuhl; Studentenbetreuung; Parteienverkehr; Allgemeine Büro- und Verwaltungstätigkeiten; Büromaterialverwaltung, eigenverantwortliche Führung der Lehrstuhlbibliothek.

Voraussetzungen

Abgeschlossene kaufmännische Ausbildung (Handelsschule oder ähnliches).

Erwünschte Qualifikation

Ausgezeichnete Korrespondenz in deutscher und englischer Sprache; sehr gute EDV-Kenntnisse (MS Office); SAP-Kenntnisse; MUonline-Kenntnisse; Kenntnisse im Bereich der Buchhaltung und des Rechnungswesens, Homepage-Kenntnisse, Selbständiges und genaues Arbeitensowie Einsatzfreude und Organisationsgeschick.

Männliche Bewerber nur nach abgeschlossenem Präsenz-/Zivildienst.

Bewerbung und Unterlagen

Application deadline: June 30th, 2021

Online Bewerbung auf: Montanuniversität Leoben Homepage (unter dem Kürzel 2106APC)

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.

We offer two positions for fully employed Doctoral Students at the Chair of Cyber-Physical-Systems starting as soon as possible. The contract is initially limited till 30.06.2023 with the option of extension by another 30 months. Salary Group B1 to Uni-KV, monthly minimum charge excl. SZ.: € 2.971,50 for 40 hours per week (14 times a year), actual classification takes place according to accountable activity-specific previous experience.

Job Description

Within the research project TRAIN we are looking for  highly motivated students with experience in one of the fields robotics, reinforcement learning, machine learning or computational neuroscience.
The students will investigate novel transfer learning strategies of robot manipulation tasks that can be learned from human demonstrations and corrections. The methods include probabilistic deep learning, stochastic neural networks and probabilisitic inference approaches. The target evaluation platform is a compliant robot arm FRANKA EMIKA equipped with a five finger hand and tactile sensors.

The positions provide the possibility of gaining a PhD degree.

What we offer

The opportunity to work on research ideas of exciting modern topics in artificial intelligence and robotics, to develop your own ideas, to be part of a young and newly formed team, to go on international research trips, and to receive targeted career guidance for a successful scientific career.

Requirements

Completed master’s degree in computer science, physics, telematics, statistics, mathematics, electrical engineering, mechanics, robotics or an equivalent education in the sense of the desired qualification. Willingness and ability for scientific work in research including publications with the possibility to write a dissertation.

Desired additional qualifications

Programming experience in one of the languages C, C++, C#, JAVA, Matlab, Python or similar is beneficial. Experience with Linux or ROS is advantageous. Good English skills and willingness to travel for research and to give technical presentations.

Application & Materials

A complete application includes a (1) detailed curriculum vitae, (2) a letter of motivation, (3) the master’s thesis as PDF file or link, (4) all relevant certificates of prior education for bachelor’s and master’s studies. The following documents will be considered in favor of the candidate. They are however not mandatory. (5) letter(s) of recommendation(s), (6) name, email and phone number of additional references to contact, (7) previous publications as PDFs or links (e.g. from M.Sc. studies).

Application deadline: Open until the position is filled.

Online Application via Email: Please send your application files to cps@unileoben.ac.at

The Montanuniversität Leoben intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration.

1 position for a fully employed Lab Technician at the Chair of Cyber-Physical-Systems on the Department of Product Engineering at the earliest possible date or beginning on 15^th of June. in a 1-year term of employment with the option of extension in a permanent position. Salary Group 3A to Uni-KV, monthly minimum charge excl. SZ.: € 2.147,30 for 40 hours per week (14 times a year).

Job Description

The tasks include setting up PCs, installing and maintaining operating systems, maintaining GitHub repositories and our webpage and content management systems. Installing robotic hardware (e.g., FRANKA Emika robot arms), recording and editing robotic videos, working with the modern robotic and machine learning tools.

What we offer

Being part of a young research team, helping creating a new lab environment. Versatile tasks including working with modern or self-build robotic and machine learning systems. Full time position with the option of an open-ended contract.

Requirements

Completed technical high school with an university entrance qualification or equivalent education (in german: HTL Absolvent mit Maturaabschluß).
We require self-motivation, independence, problem solving oriented thinking, technical interests in computer science topics, reliability and sociability or the ability to work in a team.

Application & Materials

Details to the application process will be published soon.

Application deadline: September 30th, 2021

Online Application via: Montanuniversität Leoben Webpage (search for 2108APA)

The Montanuniversitaet Leoben intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration.

One vacant position for a full-time senior scientist (m/f/d) at the Chair of Cyber-Physical-Systems, in the Department Product Engineering – Start at the earliest possible date in an employment contract limited to three years with the option of extension in a permanent employment relationship. Salary Group B1 according to the Uni-KV, monthly minimum salary excl. Szlg.: € 4.351,90 for 40 hours per week
(14 x).

Job Description

The research topics of the group are autonomous systems, machine and deep learning, embedded smart sensing systems, and computational models. The Senior Scientist will work on one of these topics (or combinations thereof), with a focus developed collaboratively based on the candidate’s prior experience. The researcher will additionally be involved in teaching (e.g., student mentoring), project management, and grant applications

What we offer

We offer a research position in fascinating fields with the opportunity to develop your own ideas and implement them independently. In addition, the researcher is part of a young and newly formed team, learns and assumes leadership responsibility with coaching sessions, and receives targeted career counseling for a successful scientific career.

Requirements

Degree in computer science, computer engineering, physics, telematics, electrical engineering, mechanics, robotics, or equivalent related to machine learning or robotics with PhD. Experience in at least one of the topics related to machine learning, image processing, neural networks, robot learning or learning sensor systems, demonstrated by publications in international conferences (e.g., RSS, ICRA, IROS or ICML, IJCAI, AAAI, NIPS, AISTATS) and journals (e.g., AURO, TRo, IJRR or JMLR, MLJ, Neural Computation). Ability to work in a team, sociability, self-motivation, interest in group leadership, very good English skills and reliability are expected.

Desired additional qualifications

Experience in soliciting external funding or industry collaboration experience is a plus.

Application & Materials

An application includes a detailed curriculum vitae with a list of all publications.

Application deadline: 07.06.2023

Online Application via: Email (cps@unileoben.ac.at) and via the Job portal of the university (2305WPB).

The Montanuniversitaet Leoben intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration. Scientific experience demonstrated through publications in international conferences and journals on machine learning, neural networks, robotics, or embedded systems. Good team-leading skills and the ambition to supervise doctoral students. Experience in obtaining external funding and in collaborating with industrial partners is advantageous but not a requirement. Excellent English skills and willingness to travel for research and to give technical presentations are required.

3 positions for fully employed University Assistant’s at the Chair of Cyber-Physical-Systems on the Department of Product Engineering at the earliest possible date or beginning on 15^th of June in a 4-year term of employment. Salary Group B1 to Uni-KV, monthly minimum charge excl. SZ.: € 2.971,50 for 40 hours per week (14 times a year), actual classification takes place according to accountable activity-specific previous experience.

The following doctoral theses are available:

Fundamentals of learning methods for autonomous systems.

The goal is to make autonomous learning systems such as industrial robot arms, humanoid or mobile robots suitable for everyday use. To achieve this, large amounts of data must be processed in a few milliseconds (Big Data for Control) and efficient learning methods must be developed. In addition, safe human-machine interaction must be ensured when dealing with the autonomous systems. For this purpose, novel stochastic motion learning methods and model representations for compliant humanoid robots will be developed.

Fundamentals of stochastic neural networks.

Modern deep neural networks
can process large amounts of data and calculate complex predictions. These
methods are also increasingly used in autonomous systems. A major challenge
here is to integrate measurement and model uncertainties in the calculations
and predictions. For this purpose, novel neural networks will be developed that
are based on stochastic computations that enrich predictions with uncertainty
estimations. The neural networks will be used in learning tasks with robotic
arms.

Robot learning with embedded systems.

Modern robot systems are equipped with complex sensors and actuators. However, they lack the necessary control and learning methods to solve versatile tasks. The goal of this thesis is to develop novel AI-based sensor systems and to integrate them into autonomous systems. The developed algorithms will be applied in mobile computers and tested on realistic industrial applications with robotic arms.

What we offer

The opportunity to work on research ideas of exciting modern topics in artificial intelligence and robotics, to develop your own ideas, to be part of a young and newly formed team, to go on international research trips, and to receive targeted career guidance for a successful scientific career.

Job requirements

Completed
master’s degree in computer science, physics, telematics, statistics,
mathematics, electrical engineering, mechanics, robotics or an equivalent
education in the sense of the desired qualification. Willingness and ability
for scientific work in research including publications with the possibility to
write a dissertation.

Desired additional qualifications

Programming experience in one of the languages C, C++, C#, JAVA, Matlab, Python or similar. Experience with Linux or ROS is advantageous. Good English skills and willingness to travel for research and to give technical presentations.

Application

Application deadline: June 30th, 2021

Online Application via: Montanuniversität Leoben Webpage

The Montanuniversitaet Leoben intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration.