[Job-offers-cs] Three open positions (prof, postdoc, predoc) within artificial intelligence, security and mechatronics

[Pekka Orponen]

-------- Forwarded Message --------

Subject: 	[DMANET] Three open positions (prof, postdoc, predoc) within 
artificial intelligence, security and mechatronics
Date: 	Thu, 5 May 2022 12:55:54 +0200
From: 	Stefan Huber <stefan.huber at fh-salzburg.ac.at>
To: 	dmanet at zpr.uni-koeln.de



Dear community,


in July we start a new research center, the

Josef Ressel Center for
Intelligent and Secure Industrial Automation

at the Salzburg University of Applied Sciences.

This research center will work on three research fields, namely
software/system architectures, artificial intelligence and security,
each in the context of industrial control systems (operational
technology, OT). Within each field we will have a PostDoc, a PreDoc and
constantly two Master students. Related to this research center, we also
establish a new professorship.

+------------------------------------------------------------------+
| We have currently three positions open: |
| - PostDoc in the field of artificial intelligence, machine |
| learning, or data science. |
| - PreDoc in the field of cyber security, information security, |
| network security or OT security. |
| - Professor within mechatronics, robotics or industrial |
| automation. |
+------------------------------------------------------------------+

The three research fields are strongly interconnected, the research is
interdisciplinary, and therefore the profile we are looking for is
rather broad.


Exemplary research activities address:

- Investigation of models of state space trajectories of industrial
machines and processes, structure-preserving (e.g., homology)
dimensionality reduction, time series analysis (maybe based on
persistent homology) towards anomaly detection.
- OPC UA information modeling and semantic technologies in context
of anomaly detection, supervision and control of machines.
- Behavior-driven anomaly detection and generative machine learning
methods based on state space trajectories, e.g. for a honey pot
design in security.
- Leveraging model-driven methods (MDD, MOF) and model
transformation techniques for machine learning and digital twins
to establish machine agnosticity.
- Big data/machine learning architectures and security architectures
in an industrial context.


You can find more background information and details for applications
here: https://www.sthu.org/research/jrz-isia/vacancy.html>
I am happy if the one or other got interested. If you have any
questions then please do not hesitate to contact me.


Best regards
Stefan Huber



-- 
FH-Prof. DI Dr. Stefan Huber, MSc
Senior Lecturer
Fachbereich Mechatronik und Robotik
Informationstechnik & System-Management

Fachhochschule Salzburg GmbH
Salzburg University of Applied Sciences
Urstein Süd 1, 5412 Puch/Salzburg, Austria
Gerichtsstand Salzburg, FN166054y

Raum 419http://www.facebook.com/fhsalzburg>T +43 50 2211-1324                      http://www.twitter.com/fhsalzburg>stefan.huber at fh-salzburg.ac.at           http://www.instagram.com/fhsalzburg>http://www.fh-salzburg.ac.at/                    http://www.youtube.com/fhsalzburg>
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