Internship: AI-based information extraction from experiment documentation

Farkas Kiss Endre legjobb állása Infineon Technologies Austria AG

Andre.Tauber@infineon.com;Media.relations@infineon.com;Investor.relations@infineon.com;alexander.foltin@infineon.com;alexander.groschke@infineon.com;isabell.diel@infineon.com;Reinhard.VonFaltin@infineon.com;support@infineon.com;comgvt@infineon.com;media.relations@infineon.com;gregor.rodehueser@infineon.com;fabian.schiffer@infineon.com;investor.relations@infineon.com;daniel.gyoery@infineon.com;holger.schmidt@infineon.com;kerstin.deixler@infineon.com;verena.soos@infineon.com;Support@infineon.com;diana.kaaserer@infineon.com

Bewerbung fur Internship: Framework for automated methodology flow

Levél szövege

Lieber Infineon Technologies Austria AG!

Ich möchte mich bei Ihrem Unternehmen als Internship: AI-based information extraction from experiment documentation bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

Internship: AI-based information extraction from experiment documentationAt a glanceDo you want to be part of an ever-evolving, innovated and future-oriented company? The Frontend cluster at Infineon Austria in Villach is responsible for the planning, quality and productivity of its semiconductor manufacturing and drives related process and manufacturing innovations. Convince us now with your understanding of data mining and explanatory data analysis. If you are currently studying Business Informatics or a technical degree then this is YOUR chance. Apply now and join us in Villach! Quick infoLocation Villach Entry level 0-1 year Job ID 371145 Start Nov 01, 2022 Type Part time Contract Temporary Job descriptionIn your new role you will: Refine data collection pipeline (i.e Extraction Transform Load (ETL) model) Develop a data annotation tool for labeling mined experiment data text files Work with exploratory data analysis on experiment data text files (What is in the data? International System of Units (e.g.: mm), numerical data, strings, string length) Develop NLP model to predict quality of content Leverage recent advances in NLP for representation learning i.e. language models/fine tuning techniques and/or domain specific feature engineering in combination with rule based or data driven based for file content quality assessment Map experiment data text files with production logistics data from database Develop and integrate user interface to allow query experiments for a technology group Further InformationType of employment: Temporary / Part-time (flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)Duration: min. 6 months ProfileYou successfully meet the requirements, if you are a motivated and committed student (f/m/div)* from the field of Business Informatics or a similar technical study. You are best equipped for this task if you additionally offer: Understanding of data mining Experience with exploratory data analysis Python skills (i.e. pandas, re, openpyxl, scikit) Basic knowledge of SQL First experience in NLP/DL/ML/AI is a big advantage This position is subject to the collective agreement for workers and employees in the electrical and electronics industry (full-time), employment group B for bachelor students, employment group D for master students (https://www.feei.at/wp-content/uploads/2022/05/minimum-salaries-white-collar-workers-2022.pdf). Please attach the following documents (German or English) to your application: Motivation letter CV Certificate of matriculation at a university (you must be enrolled and not on academic leave) Latest Transcript of records (not older than 6 months) Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students) Reference letter (optional) About UsPart of your life. Part of tomorrow. Infineon is a world leader in semiconductor solutions that make life easier, safer, and greener. Our solutions for efficient energy management, smart mobility, and secure, seamless communications link the real and the digital world. The Frontend (FE) cluster offers a broad range of manufacturing competence specialized in high-quality logic products. The portfolio represents Power, Bipolar, Sensor, Passive and Diode technologies as well as CMOS, RF-CMOS and embedded flash technologies. The manufacturing sites in Dresden, Kulim, Regensburg and Villach are committed to Operational Excellence with strong customer focus. The term gender in the sense of the General Equal Treatment Act (GETA) or other national legislation refers to the biological assignment to a gender group. At Infineon we are proud to embrace (gender) diversity, including female, male and diverse. Infineon Hub - Connect. Create. Challenge. The iHub at TU Wien represents an inspiring tech platform, networking area and event location, connecting Infineon Austria with tech experts, science specialists and young professionals. Check out our upcoming events:Infineon iHub Contact UsLisa Derhaschnig Student Attraction Manager Apply now