Applied Data Science – Use Cases and Challenges in the Semiconductor Industry

Dr. Anja Zernig | KAI Kompetenzzentrum Automobil- und Industrieelektronik GmbH Villach |
Friday, November 26, 2021 | 10:00 (CET, 09:00 UTC) | S.1.42

Online: https://classroom.aau.at/b/sch-xte-ijl-jdg

 

Abstract: AI has infected the world. Today, there is a huge hype around Data Science activities all over the world, where one of the biggest challenges for the industry is to deliver financial value quickly but also sustainably. In her talk, she will show some examples on latest Use Cases in the area of Data Science within the semiconductor industry, including technical approaches and practical challenges. Further, she will give some personal insights on important enabling factors that make a Data Science project successful.

 

Bio: Anja Zernig coordinates Data Science projects at KAI Kompetenzzentrum Automobil- und Industrieelektronik GmbH in Villach, which is a 100% subsidiary of Infineon Technologies Austria AG. Dr. Zernig studied Technical Mathematics at the University of Klagenfurt and received her PhD in 2016. Afterwards, she has been applied as a researcher at KAI, focusing on topics like outlier and anomaly detection, pattern recognition, applied statistical methods and Machine Learning techniques. Since 2019 she is coordinating a team of Data Scientists, involved in various national and international funding projects and acts as a link between the industry and academic collaboration partners. She is supervising researchers and students, dealing with innovative data-analytical concepts within the semiconductor production, testing and optimization and publishes latest scientific insights in different conference and Journal papers. Beside this, Dr. Zernig participates in and supports local Data Science activities, e.g. she is part of the organizing team of the Women in Data Science Villach. In recent times, she is focusing on deployment strategies to guarantee sustainable Machine Learning lifecycles.

Best Paper Award RuleML+RR 2021

The paper by Haya Majid Qureshi and Wolfgang Faber “An Evaluation of Meta-reasoning over OWL 2 QL” has won the Best Paper Award in the 5th International Joint Conference on Rules and Reasoning (RuleML+RR 2021).

https://declarativeai2021.net/

Praxissemester der KELAG

Der Kelag-Konzern schreibt mehrmonatige Praxissemester aus:

  • Datenanalyse im Bereich Workforce Management (02/2022 bis 07/2022)
  • DevSecOps in der Softwareentwicklung (02/2022 bis 07/2022)
  • E-Business (02/2022 bis 08/2022)
  • E-Mobilität (02/2022 bis 07/2022)
  • Energiehandel (02/2022 bis 07/2022)
  • Glasfaser-Planung (02/2022 bis 07/2022)
  • IT-Controlling (02/2022 bis 07/2022)
  • Prozesse, Daten und Digitalisierung (02/2022 bis 07/2022)
  • Risikomanagement (04/2022 bis 06/2022 (VZ), 07/2022 bis 12/2022 (TZ))
  • Technologiemanagement im Telekommunikationsbereich (02/2022 bis 07/2022)
  • Technologietrends in der modernen IT-Welt (02/2022 bis 07/2022)

 

Bewerbungen bitte ausschließlich über das Online-Bewerbertool auf www.kelag.at/studienpraktikum.

 

Ende der Bewerbungsfrist ist der 21. November 2021!

 

Der Onlinebewerbung ist ein Anschreiben, ein Lebenslauf sowie der aktuelle Studienerfolgsnachweis (Transcript of Records) beizufügen!

Open Position: Student Researchers / Developers in Cybersecurity

The Cybersecurity research group (https://cybersecurityresearch.at/), headed by Prof. Elisabeth Oswald, is a relatively new group established in Austria’s sunny south. The group currently features a diverse range of members (from France, Iran, India, and China).

Current members work on topics such as leakage profiling, advanced leakage simulators, attacks (utilizing deep learning), statistical foundations, and hardware aspects of side channels. The group receives funding from the ERC, as well as local funding, and thus offers a supportive research environment (both financially as well as from a human perspective).

The group is looking for support with its ongoing projects via paid student researchers. You could work for us some months, e.g. during the summer (via an internship), or join us for longer (only part-time). We consider students both on bachelor and master courses,provided they are in the areas of computer science, computer engineering, mathematics (if it includes some programming), or statistics/data science (provided you can at least do some scripting).

You do not need to be based in Klagenfurt, working from home is possible.

The projects that we are looking to support require skills in (either)

  • compilers/languages to support the secure implementation of cryptographic primitives, including the use of formal verification tools,
  • machine/deep learning
  • secure implementations (low-level programming, e.g. ARM assembly, RISC-V assembly)
  • software development (C++)

You will work with young scientists from across the globe (the current group members are from France, Iran, India and China), so good English language skills are vital too.

We will appoint multiple researchers, and the starting date is flexible.  Applications will be considered on a rolling basis. To apply please send a brief motivation letter, your CV, and transcripts of records of your MSc/BSc to the contact below.

The rates will depend on your highest level of education: they are at € 1.073,10 per month for a part-time employment.

Please contact Elisabeth [dot] Oswald [at] aau [dot] at for informal inquiries and to submit your application.

Digitalisierung

Digitalisierung | Foto: Freepik