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.