An­ge­bot 286 von 619 vom 10.02.2020, 14:34


Tech­ni­sche Uni­ver­si­tät Dres­den - Cen­ter for Advan­cing Elec­tro­nics Dres­den

The TU Dres­den is one of ele­ven Ger­man uni­ver­si­ties that were iden­ti­fied as an “excel­lence uni­ver­sity”. TUD has about 36.500 stu­dents and almost 5319 employees, 507 pro­fes­sors among them, and, thus, is the lar­gest uni­ver­sity in Sax­ony, today.

Having been com­mit­ted to sci­en­ces and the engi­nee­ring before the reuni­fi­ca­tion of Ger­many, TU Dres­den now is a multi-disci­pline uni­ver­sity, also offe­ring huma­nities and social sci­en­ces as well as medi­cine.

Rese­arch Asso­ciate

(Sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­ne­ra­ted accord­ing to salary group E 13 TV-L)
The posi­tion is offe­red, sub­ject to resour­ces being avail­able, wit­hin the ESF Junior Rese­arch Group “Re-Lear­ning - Selbst­ler­nende und fle­xi­ble Elek­tro­nik durch inhä­rente Bau­ele­ment-Rekon­fi­gu­ra­tion”.

Posi­tion cfaed-ESF2020-04
Inves­ti­ga­tor: Prof. Dr. sc. techn. Frank Ellin­ger - Chair of Cir­cuit Design and Net­work Theory
Terms: 100% of the full­time wee­kly hours, 01.09.2020 – 28.02.2022 (The period of employ­ment is gover­ned by the Fixed-Term Rese­arch Con­tracts Act (Wis­sen-schafts­zeit­ver­trags­ge­setz)). The posi­tion aims at obtai­ning fur­ther aca­de­mic qua­li­fi­ca­tion.

Work­ing field:

Design of recon­fi­gura­ble cir­cuits using Sili­con Nano­wire and Orga­nic Tran­sis­tors

About the pro­ject
IoT and AI tech­no­lo­gies are fin­ding their way into our ever­y­day lives and this goes hand in hand with an increa­sing amount of data and an enor­mous rise in IT-based energy con­sump­tion. Con­se­quently, a com­pu­ta­tion limi­ta­tion of sta­tic hard­ware is expec­ted. The pro­ject, which will be fun­ded by the European Social Fund (ESF) and the Free State of Sax­ony, aims at the deve­lop­ment of approa­ches of hard­ware rep­re­sen­ta­ti­ons for machine lear­ning that address these chal­len­ges. The tasks wit­hin the offe­red posi­tion include the deve­lop­ment of adap­tive hard­ware neu­ro­nal net­works based on orga­nic and inor­ga­nic recon­fi­gura­ble devices and require close coope­ra­tion with engi­neers, phy­si­cists and com­pu­ter sci­en­tists.


  • uni­ver­sity degree (excel­lent Mas­ter of Sci­ence or diploma) in elec­tri­cal engi­nee­ring
  • Know­ledge and expe­ri­en­ces in basic ana­log and digi­tal cir­cuits, mea­su­rement of elec­tri­cal devices and device mode­ling
  • due to fun­ding regu­la­ti­ons the last degree must been achie­ved after 15.06.2015,
  • strong ana­ly­tic and pro­blem-sol­ving skills, crea­ti­vity,
  • an inde­pen­dent, tar­get- and solu­tion-dri­ven work atti­tude,
  • strong com­mu­ni­ca­tion skills, espe­ci­ally in cross-disci­pli­nary com­mu­ni­ca­tion,
  • flu­ency in Eng­lish, know­ledge of Ger­man is a plus

What we of­fer:

You will join an enthu­si­astic and ambi­tious rese­arch group, where you can drive your pro­ject for­ward and bene­fit from inspi­ra­tio­nal inter­ac­tions with like-min­ded rese­ar­chers. On this pro­ject, you will clo­sely inter­act with PhD stu­dents from other disci­pli­nes working on the same pro­ject, giving you the oppor­tu­nity to gain (first) expe­ri­ence in super­vi­sing stu­dents. The working lan­guage of our inter­na­tio­nal teams is Eng­lish.
For infor­mal enqui­ries, please con­tact Dr. André Hein­zig (, +49 351 463 39129) or Dr. Uta Schnei­der (, +49 351 463 43700).
App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties.

About cfaed
cfaed is a Cen­tral Aca­de­mic Unit of TU Dres­den inte­gra­ting about 200 rese­ar­chers from the uni­ver­sity and 10 other rese­arch insti­tu­tes in the areas of Elec­tri­cal Engi­nee­ring, Com­pu­ter Sci­ence, Mate­ri­als Sci­ence, Phy­sics, Che­mi­stry, Bio­logy, and Mathe­ma­tics. cfaed cata­ly­ses and pro­mo­tes pro­jects & col-labo­ra­ti­ons in fun­da­men­tal rese­arch for future-proof elec­tro­nics bey­ond cur­rent tech­no­logy road­maps on an inter­na­tio­nally lea­ding level. It is a cen­tral hub for inter­di­sci­pli­nary and cross-scale rese­arch.

How to ap­ply:

Your app­li­ca­tion (in Eng­lish only) should include: a moti­va­tion let­ter, your CV with publi­ca­tion list, copy of degree cer­ti­fi­cate, and tran­script of gra­des (i.e. the offi­cial list of cour­se­work inclu­ding your gra­des). Please include also a link to your Mas­ter’s or PhD the­sis. Com­plete app­li­ca­ti­ons should be sub­mit­ted pre­fer­a­bly via the TU Dres­den Secu­re­Mail Por­tal by sen­ding it as a sin­gle pdf docu­ment quo­ting the refe­rence num­ber cfaed-ESF2020-04 in the sub­ject hea­der to or alter­na­tively by post to: TU Dres­den, cfaed, Frau Dr. Uta Schnei­der, Helm­holtz­str. 10, 01069 Dres­den, Ger­many. The clo­sing date for app­li­ca­ti­ons is 03.03.2020 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies). Please sub­mit copies only, as your app­li­ca­tion will not be retur­ned to you. Ex-pen­ses incur­red in atten­ding inter­views can­not be reim­bur­sed.

Refe­rence to data pro­tec­tion: Your data pro­tec­tion rights, the pur­pose for which your data will be pro-ces­sed, as well as fur­ther infor­ma­tion about data pro­tec­tion is avail­able to you on the web­site: