Flextronics International Gesellschaft m.b.H. neues Mitglied beim Förderverein Technische Fakultät

Flex Althofen ist Teil eines internationalen Technologieunternehmens, das weltweit mehr als 200.000 Mitarbeiter in über 30 Ländern beschäftigt.

Am Standort Althofen entwickeln über 850 Mitarbeiter intelligente Produkte für eine vernetzte Welt. Doch was kann man sich darunter vorstellen? Sei es der kleinste Lautsprecher der Welt oder ein hochmodernes Insulingerät bis hin zu tonnenschweren Maschinen, Flex produziert alles. Am Kärntner Standort hat man sich auf elektronische Module und Komplettgeräte für hochkarätige, internationale Kunden aus der Medizintechnik, Automobilindustrie und Industrietechnik spezialisiert. Der Fokus sowohl in der Produktion als auch in der Forschung liegt insbesondere in Robotertechnologien, Automatisierungstechnik, Industrie 4.0 und IoT (Internet of Things).

Einer der besten Arbeitgeber Österreichs – Flex Althofen wurde 2018 mit dem „Great Place to Work“ Award ausgezeichnet. Warum? Weil, bei Flex Althofen die Mitarbeiter den Unterschied machen. Neben einer Kantine, einem Betriebsrestaurant, bietet Flex einen wöchentlichen Massagedienst im Haus, jährliche gemeinsame Feste sowie die Chance in einem internationalem Unternehmen eine Karriere zu starten.

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Tactile Internet with Human-in-the-Loop

Prof. Dr.-Ing. Dr. h.c. Frank H. P. Fitzek | November 30, 2018 | 10:00 | S.2.42

Bio: Frank H. P. Fitzek is a Professor and head of the “Deutsche Telekom Chair of Communication Networks” at TU Dresden coordinating the 5G Lab Germany. He is the spokesman of the DFG Cluster of Excellence CeTI.

He received his diploma (Dipl.-Ing.) degree in electrical engineering from the University of Technology – Rheinisch-Westfälische Technische Hochschule (RWTH) – Aachen, Germany, in 1997 and his Ph.D. (Dr.-Ing.) in Electrical Engineering from the Technical University Berlin, Germany in 2002 and became Adjunct Professor at the University of Ferrara, Italy in the same year. In 2003 he joined Aalborg University as Associate Professor and later became Professor.

He co-founded several start-up companies starting with acticom GmbH in Berlin in 1999. He has visited various research institutes including Massachusetts Institute of Technology (MIT), VTT, and Arizona State University. In 2005 he won the YRP award for the work on MIMO MDC and received the Young Elite Researcher Award of Denmark. He was selected to receive the NOKIA Champion Award several times in a row from 2007 to 2011. In 2008 he was awarded the Nokia Achievement Award for his work on cooperative networks. In 2011 he received the SAPERE AUDE research grant from the Danish government and in 2012 he received the Vodafone Innovation prize. In 2015 he was awarded the honorary degree “Doctor Honoris Causa” from Budapest University of Technology and Economy (BUTE).

His current research interests are in the areas of wireless and 5G communication networks, network coding, cloud computing, compressed sensing, cross layer as well as energy efficient protocol design and cooperative networking.

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OpenTechTable #17 The ‚cf push‘ Experience: an Introduction to Cloud Foundry

OpenTechTable is back, after a longer summer break we kick-off again with an event hosted by Dynatrace Austria in B08 Klagenfurt.

Wann: Donnerstag, 8. November 2018, 18:00 bis 20:00

Wo: Dynatrace Austria GmbH, Lakeside B08 A · Klagenfurt

Manfred Del Fabro will hold a talk with the title „The ‚cf push‘ Experience: an Introduction to Cloud Foundry

Cloud Foundry is an open source cloud application platform, providing a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications. It is an open source project and is available through a variety of private cloud distributions and public cloud instances. This talk explains the basic concepts, as well as the architecture of Cloud Foundry and gives a basic introduction in deploying and running applications on Cloud Foundry.

We are looking forward to meet everyone again and a big thank you to Thomas Grassauer and Dynatrace Austria for hosting this event.

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New Media Services from a Mobile Chipset Vendor and Standardization Perspective

Dr. Thomas Stockhammer | November 30, 2018 | 11:00 | S.2.42

Abstract: The media landscape changes significantly over the last few years by new content formats, new service offerings, additional consumption devices and new monetization models. Think of Netflix, DAZN, Mediatheks, mobile devices, interactive content, smart TVs, Virtual and Augmented Reality, and so on. Many of these efforts have been realized by a limited usage of standards, but are standards irrelevant? Secondly, more and more services are enabled by latest mobile compute platforms enabling new services and experiences. This presentation will provide an overview some of these trends and will motivate the development of global interop standards. Specific aspects will include the move of linear TV services to the Internet (both mobile and fixed) as well recent advances on Extended Reality and immersive media trends.

Bio: Thomas Stockhammer received the Dipl.-Ing. and Dr.-Ing. degrees from the Munich University of Technology, Munich, Germany. Thomas was Visiting Researcher at Rensselear Politechnical Institute (RPI), Troy, NY, USA and University of California San Diego (UCSD), San Diego, CA, USA. After acting as cofounder and CEO of Novel Mobile Radio (NoMoR) Research for 10 years and a consultant for Siemens mobile, BenQ mobile, LG Electronics and Digital Fountain, he joined Qualcomm in 2014 as Director Technical Standards. In his different roles, he co-authored more than 200 research publications and more than 150 patents and 1000s of contributions to standardization efforts. In his day job, he is the active and has leadership and rapporteur positions in 3GPP, DVB, MPEG, IETF, ATSC, CTA, ETSI, VR Industry Forum and the DASH-Industry Forum in the area of multimedia communication, TV-distribution, content delivery protocols, immersive media representation and adaptive streaming. Among others, he leads the MPEG-I efforts in MPEG, he is the chair of the DASH-IF Technical working group, the rapporteur of the first completed 3GPP VR work as well as the chairman of the DVB CM-I group. Thomas also received the INCITS Technical Excellence Award 2013 for his MPEG DASH work and the 3GPP Excellence Ward 2017 for his work on Enhanced TV.

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30 Jahre „Förderverein Technische Fakultät“ an der Alpen-Adria-Universität Klagenfurt

Der Förderverein Technische Fakultät (FTF) an der Universität Klagenfurt verfolgt mit dem Verein das Ziel, die Fakultät für Technische Wissenschaften (TEWI) bei der Erfüllung ihrer Aufgaben in den Bereichen Forschung und Lehre zu fördern und die Arbeit ihrer Mitglieder, Studierenden und AbsolventInnen zu unterstützen. Ein weiteres wesentliches Ziel ist die Intensivierung des Erfahrungs- und Erkenntnisaustausches zwischen Wissenschaft und Praxis.

Gegründet im Jahre 1988 unter dem Namen „Verein der Freunde des Instituts für Informatik“, hat sich der Verein zu einer lebendigen Plattform für die fachliche Kommunikation zwischen Wirtschaft, öffentlichen Organisationen und Institut etabliert. Dies wollen wir nun feiern und laden zur

30-Jahr-Feier „Förderverein Technische Fakultät“

ein.

Wann: Freitag, 30. November 2018 | Beginn 18:00 Uhr

Wo: Eventplateau der Raiffeisen Landesbank Kärnten, Raiffeisenplatz 1, 9020 Klagenfurt

Es erwarten Sie ein kurzer Rückblick, Auszeichnung der TEWI-Best-Performer sowie des Roland-Mittermeir-Preises und eine spannende Podiumsdiskussion zum Thema

5G Kommunikation der Zukunft – Chancen und Risiken


Programm:

18:00 Uhr

  • Begrüßung durch den Obmann (Christian Inzko)
  • Rückblick 30 Jahre Förderverein (Arnold Wurzer)
  • Auszeichnung: TEWI-Best-Performer (Clemens Heuberger)
  • Auszeichnung: Roland-Mittermeir-Preis (Christian Inzko)

19:00 Uhr Podiumsdiskussion zum Thema 5G Kommunikation der Zukunft – Chancen und Risiken (Moderation: Christian Bettstetter & Hermann Hellwagner)

Im Anschluss laden wir zum Ausklang & Networking bei Getränken und Snacks. Um Voranmeldung wird gebeten: Kontakt: Klothilde Puschl, E-Mail: klothilde.puschl@aau.at.

Parkplätze sind vorhanden. Benutzen Sie dazu die Einfahrt gegenüber den „City Arkaden“.


Zusätzlich möchten wir auf zwei TEWI-Kolloquien hinweisen bzw.und Sie gerne einladen daran teilzunehmen. Diese finden, die am 30. November 2018 vormittags an der Alpen-Adria-UniversitätUniversität Klagenfurt im Raum (E.2.42) stattfinden:


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Review: Intra-coding using non-linear prediction, KLT and Texture Synthesis [Slides][Video]

The review of the TEWI colloquium of Prof. Dr.-Ing. Jörn Ostermann from July 12, 2018 comprises the slides (below) and video here.

Abstract: We present a comparison between AV1, HEVC and JEM. It reveals that professionally optimized AV1 encoding software is about 32 times as complex as the HEVC encoder software HM. Given the wide attention that AV1 receives and the plans of Google and Facebook to actually use AV1 in commercial environments, the complexity constraints endured during the HEVC development seem to disappear. We present recent results on contour-based prediction for intra coding, a KLT depending on scene and intra prediction direction for coding the prediction error and texture synthesis to replace conventional texture coding for uniform parts of images. Especially contour-based prediction and texture synthesis depend heavily on computer vision algorithms. While typically failures of efficient prediction can be compensated by coding the prediction error and hence a higher data rate, texture synthesis in video coding does not have this safety leash.

BioJörn Ostermann studied Electrical Engineering and Communications Engineering at the University of Hannover and Imperial College London, respectively. He received Dipl.-Ing. and Dr.-Ing. from the University of Hannover in 1988 and 1994, respectively. From 1988 till 1994, he worked as a Research Assistant at the Institut für Theoretische Nachrichtentechnik conducting research in low bit-rate and object-based analysis-synthesis video coding. In 1994 and 1995 he worked in the Visual Communications Research Department at AT&T Bell Labs on video coding. He was a member of Image Processing and Technology Research within AT&T Labs – Research from 1996 to 2003. Since 2003 he is Full Professor and Head of the Institut für Informationsverarbeitung at Leibniz Universität Hannover, Germany. Since 2008, he is the Chair of the Requirements Group of MPEG (ISO/IEC JTC1 SC29 WG11). Jörn was a scholar of the German National Foundation. In 1998, he received the AT&T Standards Recognition Award and the ISO award. He is a Fellow of the IEEE (class of 2005). Joern served as a Distinguished Lecturer of the IEEE CAS Society (2002/2003). He published more than 100 research papers and book chapters. He is coauthor of a graduate level text book on video communications. He holds more than 30 patents.

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Intra-coding using non-linear prediction, KLT and Texture Synthesis: AV1 encoders open the door to seemingly unconstrained video coding complexity

Prof. Dr.-Ing. Jörn Ostermann | July 12, 2018 | 10:00am | E.2.42

Abstract: We present a comparison between AV1, HEVC and JEM. It reveals that professionally optimized AV1 encoding software is about 32 times as complex as the HEVC encoder software HM. Given the wide attention that AV1 receives and the plans of Google and Facebook to actually use AV1 in commercial environments, the complexity constraints endured during the HEVC development seem to disappear. We present recent results on contour-based prediction for intra coding, a KLT depending on scene and intra prediction direction for coding the prediction error and texture synthesis to replace conventional texture coding for uniform parts of images. Especially contour-based prediction and texture synthesis depend heavily on computer vision algorithms. While typically failures of efficient prediction can be compensated by coding the prediction error and hence a higher data rate, texture synthesis in video coding does not have this safety leash.

BioJörn Ostermann studied Electrical Engineering and Communications Engineering at the University of Hannover and Imperial College London, respectively. He received Dipl.-Ing. and Dr.-Ing. from the University of Hannover in 1988 and 1994, respectively. From 1988 till 1994, he worked as a Research Assistant at the Institut für Theoretische Nachrichtentechnik conducting research in low bit-rate and object-based analysis-synthesis video coding. In 1994 and 1995 he worked in the Visual Communications Research Department at AT&T Bell Labs on video coding. He was a member of Image Processing and Technology Research within AT&T Labs – Research from 1996 to 2003. Since 2003 he is Full Professor and Head of the Institut für Informationsverarbeitung at Leibniz Universität Hannover, Germany. Since 2008, he is the Chair of the Requirements Group of MPEG (ISO/IEC JTC1 SC29 WG11). Jörn was a scholar of the German National Foundation. In 1998, he received the AT&T Standards Recognition Award and the ISO award. He is a Fellow of the IEEE (class of 2005). Joern served as a Distinguished Lecturer of the IEEE CAS Society (2002/2003). He published more than 100 research papers and book chapters. He is coauthor of a graduate level text book on video communications. He holds more than 30 patents.

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Review: Solving x’=? [Slides]

The review of the TEWI colloquium of Prof. Konstantin Mischaikow from June 6, 2018 comprises the slides (below).

Abstract

With the advent of every improving information technologies, science and engineering is being being evermore guided by data-driven models and large-scale computations.  In this setting, one often is forced to work with models for which the nonlinearities are not derived from first principles and quantitative values for parameters are not known.

With this in mind, I will describe an alternative approach formulated in the language of combinatorics and algebraic topology that is inherently multiscale, amenable to mathematically rigorous results based on discrete descriptions of dynamics, computable, and capable of recovering robust dynamic structures.

To keep the talk grounded, I will discuss the ideas in the context of modeling of gene regulatory networks.

CV

Konstantin Mischaikow earned his Master and PhD degree at the University of Wisconsin–Madison in 1983 and 1985, respectively. Currently he is a Distinguished Professor at Rutgers University, New Jersey, USA. His main research interests are topological methods for the analysis of dynamical systems, computational topology and mathematical biology.  Professor Mischaikow has supervised 16 PhD theses and has been advisor of 21 postdocs. He has over 110 publications, including four books.

He is a leading expert of Conley theory, as well as of rigorous computer-assisted computations. One of his most celebrated results is the proof of chaos in the Lorenz attractor, which serves as a prominent example of the application of both techniques.  In 2014, in recognition of his contributions to dynamical systems as well as to applied and computational topology, Professor Mischaikow was elected to be a fellow of the American Mathematical Society.

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Review: Machine Learning Applications to Internet of Things [Slides]

The review of the TEWI colloquium of Dr. Hari Prabhat Gupta from June 22, 2018 comprises the slides (below).

Abstract

Internet of Things (IoT) is growing rapidly in decades, various applications came out from academia and industry. IoT is an amazing future to the Internet, but there remain some challenges to IoT for human have never dealt with so many devices and so much amount of data. Machine Learning (ML) is the technique that allows computers to learn from data without being explicitly programmed. Generally, the aim is to make predictions after learning and the process operates by building a model from the given (training) data and then makes predictions based on that model. Machine learning is closely related to artificial intelligence, pattern recognition and computational statistics and has strong relationship with mathematical optimization. In this talk, we focus on ML applications to IoT. Specially, we focus on the existing ML techniques that are suitable for IoT. We also consider the issues and challenges for solving the IoT problems using ML techniques.

CV

Dr. Hari Prabhat Gupta received the B.E. degree in Computer Engineering from Government Engineering College Ajmer, Ajmer, India, the M.Tech. and Ph.D degrees in Computer Science and Engineering from the Indian Institute of Technology Guwahati (IITG), Guwahati, India. He worked with Samsung R&D Bangalore, India. He has received a research fellowship from TATA Consultancy Services, India. He is currently working as Assistant Professor in Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India. His research interests include wireless sensor networks, wireless ad hoc networks, and distributed algorithms. He has published various IEEE and ACM conference papers and Journals in the field of wireless sensor networks.

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Flex: IT Smart Manufacturing (m/w)

Um unsere interne Vorreiterrolle weiter auszubauen, suchen wir Mitarbeiterinnen und Mitarbeiter, die neueste IT-Technologien auswählen und zu unserem maximalen Nutzen implementieren. Ziel ist es die Digitalisierung unserer Produktion weiter voranzutreiben. Daher besetzen wir umgehend eine Junior Stelle als Data Engineer im Bereich:

IT Smart Manufacturing (m/w) [PDF]

Ihr Aufgabengebiet:

Sie sind Teil eines kleinen Expertenteams, das mittels Open Source Technologien (u.a. Elastic Stack) ein digitales Abbild unserer Produktion bereitstellt. Durch die Verknüpfung von Prozess-, Maschinen- und Umgebungsdaten wird die Produktion optimiert und nicht ausgeschöpfte Potenziale identifiziert. Das Abteilungsziel ist es maßgeblich an der Umsetzung von Schlagwörtern wie Data Driven Analytics, Predictive Maintenance und Data Democratization am Standort Althofen mitzuwirken.

Ihr Profil:

  • Sie eigenen sich eigenständig Wissen an, um aktuelle Technologien zu verstehen und bewerten zu können
  • Sie suchen nach Lösungen und nicht nach Problemen
  • Sie möchten selbst Hand anlegen und Themen eigenständig umsetzen

Ihre Fähigkeiten:

  • Grundkenntnisse in Linux und Open Source Tools
  • Grundkenntnisse in Datenbankstrukturen
  • Grundkenntnisse in Netzwerktechnik
  • Innovationsdenken und ausgeprägtes Qualitätsbewusstsein
  • Kommunikationssicheres Englisch (Wort und Schrift)

Unser Angebot:

  • Eine interessante und herausfordernde Tätigkeit in einem internationalen Unternehmen mit attraktive Weiterbildungsmöglichkeiten
  • Die Möglichkeit bei flexibler Arbeitszeit Ihr Fachwissen in abwechslungsreiche Projekte einfließen zu lassen
  • Spannende Mitarbeiterevents und ein angenehmes Betriebsklima
  • Wir bieten ein KV Bruttomonatsgehalt laut der Beschäftigungsgruppe E lt. Kollektiv Elektro- und Elektronikindustrie mit der Bereitschaft zur Überzahlung je nach Qualifikation und Berufserfahrung

Wir freuen uns auf Ihre aussagekräftigen Bewerbungsunterlagen, die Sie bitte per E-Mail an Frau Gerda Reif (karriere@flex.com) senden.

Flex ist ein weltweit führendes Technologieunternehmen mit mehr als 200.000 Mitarbeitern in 30 Ländern. Unter dem Leitsatz „live smarter“ werden intelligente Produkte für eine vernetzte Welt entwickelt und produziert. Der innovative High-Tech Konzern hat sein europäisches Kompetenzzentrum in Kärnten. Am Standort Althofen werden elektronische Module und Komplettgeräte für internationale Kunden hergestellt. Die Bandbreite reicht von der Produktentwicklung über die Fertigung bis hin zu maßgeschneiderten Logistiklösungen.

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