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Fraun­ho­fer IIS - Mikro­elek­tro­ni­sche und infor­ma­ti­ons­tech­ni­sche Sys­tem­lö­sun­gen und Dienst­leis­tun­gen

Das Fraun­ho­fer-Insti­tut für Inte­grierte Schal­tun­gen IIS in Erlan­gen ist eine welt­weit füh­rende anwen­dungs­ori­en­tierte For­schungs­ein­rich­tung für mikro­elek­tro­ni­sche und infor­ma­ti­ons­tech­ni­sche Sys­tem­lö­sun­gen und Dienst­leis­tun­gen. Es ist heute das größte Insti­tut der Fraun­ho­fer-Gesell­schaft. Unter ande­rem mit der maß­geb­li­chen Betei­li­gung an der Ent­wick­lung der Audio­co­dier­ver­fah­ren mp3 und MPEG AAC ist das Fraun­ho­fer IIS welt­weit bekannt gewor­den.

In enger Koope­ra­tion mit den Auf­trag­ge­bern betrei­ben die Wis­sen­schaft­ler inter­na­tio­nale Spit­zen­for­schung in den For­schungs­fel­dern Audio und Medi­en­tech­no­lo­gien, Bild­sys­teme, Ener­gie­ma­nage­ment, IC-Design und Ent­wurfs­au­to­ma­ti­sie­rung, Kom­mu­ni­ka­ti­ons­sys­teme, Loka­li­sie­rung, Medi­zin­tech­nik, Sen­sor­sys­teme, Sicher­heits­tech­nik, Ver­sor­gungs­ket­ten sowie Zer­stö­rungs­freie Prü­fung.

Data Sci­en­tist Ana­ly­tics and Machine Lear­ning

Work­ing field:

You would like to con­trib­ute to the devel­op­ment, imple­ment­a­tion and applic­a­tion of Machine Learn­ing Meth­ods for innov­at­ive, data-driven pro­jects at the inter­sec­tion of Research and Industry?

We have the right job for you! You will work on data-driven pro­jects in vari­ous applic­a­tion areas using latest Machine Learn­ing Meth­od­o­logy. Therein, we review and eval­u­ate the cur­rent state of the art and imple­ment it for our industry part­ners. Import­ant find­ings from these pro­jects as well as improve­ments upon exist­ing meth­ods are gen­er­al­ized, sci­en­tific­ally exploited and pub­lished.

About us

The cen­ter focuses on auto­mated Machine Learn­ing (AutoML), Semi-super­vised Learn­ing and Inter­pretable Machine Learn­ing (IML/XAI). There is close cooper­a­tion and exchange with the Com­pu­ta­tional Stat­ist­ics work­ing group and the Chair of Data­base Sys­tems and Data Min­ing at Lud­wig-Max­imili­anUni­versity Munich.

Require­ments:

Your pro­file
  • Com­ple­ted sci­en­ti­fic mas­ter's degree, doc­to­rate with a tech­ni­cal or sci­en­ti­fic back­ground (i.e. Com­pu­ter Sci­ence, Sta­tis­tics, Mathe­ma­tics, Phy­sics, …) is a plus
  • Know­ledge of both theo­re­ti­cal and prac­ti­cal Machine Lear­ning
  • Pro­gramming skills in Python and/ or R (pre­fer­a­bly both) and a high moti­va­tion to improve upon them in a pro­fes­sio­nal con­text
  • Flu­ency in writ­ten and spo­ken Eng­lish

What we of­fer:

We offer
  • An attrac­tive working and rese­arch envi­ron­ment wit­hin a highly inno­va­tive key indus­try.
  • A highly moti­va­ted team which expects you to con­tri­bute your own ideas and pro­vi­des space for per­so­nal deve­lop­ment.
  • Ver­sa­tile pro­jects with high prac­ti­cal impact.
  • The oppor­tu­nity for doc­to­ral stu­dies, sci­en­ti­fic publi­shing and the par­ti­ci­pa­tion in sci­en­ti­fic con­fe­ren­ces.
  • Dedi­ca­ted time for con­ti­nuing edu­ca­tion (both as a trai­ning pro­gram and wit­hin the group).
  • Best pos­si­ble equip­ment, col­le­gial cor­po­rate cul­ture and fle­xi­ble working hours.

How to ap­ply:

Gene­ral con­di­ti­ons
Employ­ment, remu­ne­ra­tion and social bene­fits are gover­ned by the Collec­tive Agree­ment for the Public Sec­tor (TVöD). The posi­tion is initi­ally limi­ted to two years. Severely dis­ab­led per­sons and per­sons with equal qua­li­fi­ca­ti­ons are given pre­fe­ren­tial employ­ment if they are equally qua­li­fied.
Would you like to work with us? Please sub­mit your app­li­ca­tion through our online app­li­ca­tion por­tal sta­ting refe­rence num­ber IIS-2020-13.
Find out more about ADA Love­lace Cen­ter for Ana­ly­tics, Data, App­li­ca­ti­ons: https://www.scs.fraunhofer.de/de/referenzen/ada-center.html