1 Secretary – July 1st 2021, RefID: 2106APC

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.

1 Senior Researcher / Research Group Leader (Postdoc) – June 30th 2021, RefID: 2103WPX

1 position for a fully employed Senior Scientist at the Chair of Cyber-Physical-Systems on the Department of Product Engineering at the earliest possible date or beginning on 15th of June in a 1-year term of employment with the option of extension in a permanent position. Salary Group B1 to Uni-KV, monthly minimum charge excl. SZ.: € 3.945,90 for 40 hours per week (14 times a year).

Job Description

The group’s research topics are autonomous systems, machine and deep learning, embedded smart sensing systems and computational models. The senior researcher will work on one of these topics (or combinations of them), where a focus will be developed jointly based on the experience of the candidate. The researcher will be further engaged in teaching (e.g., student supervision), project management and funding applications.

What we offer

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

Requirements

Degree in computer science, physics, telematics, electrical engineering, mechanics, robotics or mathematics with a PhD. Experience in at least one of the topics of machine learning, neural networks, robot learning or learning sensor systems. Willingness and ability to co-supervise scientific work in research including related publication activities. Programming experience in one of the languages C, C++, C#, JAVA, Matlab, Python or similar.

Desired additional qualifications

Scientific experience demonstrated by patents and publications in international conferences and journals on machine learning, neural networks, robotics or sensing. Experience in obtaining external funding and in collaborations with industrial partners. Good English skills and willingness to travel for research and to give technical presentations. Ability to work in a team, sociability, self-motivation and reliability.

Application & Materials

A complete application includes a (1) detailed curriculum vitae, (2) a letter of motivation with a reference to the desired field of research and teaching from the above-mentioned topics, (3) two letters of recommendation, (4) the PhD thesis as PDF file, (5) all relevant certificates of prior education for bachelor’s, master’s and PhD studies, (6) name, email and phone number of two additional references to contact, (7) previously published or submitted publications as links or PDF files.

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.

3 PhD Positions – June 30th 2021, RefID: 2103WPW

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 15th 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.