Blätter-Navigation

An­ge­bot 362 von 481 vom 24.01.2020, 10:13

logologo

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.

2 Rese­arch Asso­cia­tes / PhD Stu­dents

(Sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­ne­ra­ted accord­ing to salary group E 13 TV-L)
The Chair of Net­work Dyna­mics hea­ded by Prof. Marc Timme at the Insti­tute for Theo­re­ti­cal Phy­sics affi­lia­ted with the Cen­ter for Advan­cing Elec­tro­nics Dres­den (cfaed) offers two fixed-term posi­ti­ons.
Rese­arch area: Collec­tive non­linear dyna­mics and data ana­ly­tics for future mobi­lity
Terms: 50% of the full­time wee­kly hours, the posi­tion is a 3-year appoint­ment star­ting from
1 st April 2020 (or later). The period of employ­ment is gover­ned by the Fixed-Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver­trags­ge­setz – WissZeitVG).

Work­ing field:

The Chair of Net­work Dyna­mics stri­ves to advance our con­cep­tual under­stan­ding of collec­tive dyna­mic phe­no­mena in net­works across fields. Besi­des fun­da­men­tal topics in Theo­re­ti­cal Phy­sics and Dyna­mi­cal Sys­tems we address ques­ti­ons about bio­lo­gi­cal and bio-inspi­red com­pu­ting, self-orga­ni­zed solu­ti­ons for engi­nee­ring as well as sys­temic ques­ti­ons on collec­tive phe­no­mena regar­ding energy and mobi­lity as well as sys­temic sustai­na­bi­lity (sys­tai­na­bi­lity).

Require­ments:

  • com­ple­ted uni­ver­sity degree (Mas­ter’s level) in Theo­re­ti­cal Phy­sics, App­lied Mathe­ma­tics or a simi­lar
  • expe­ri­ence in several of the fields: sta­tis­ti­cal phy­sics, non­linear dyna­mics, data ana­ly­tics, soft­ware deve­lop­ment, opti­mi­sa­tion
  • very good com­mand of Eng­lish; wil­ling­ness to learn Ger­man, expe­ri­ence is a plus
  • the abi­lity to effec­tively work in col­la­bo­ra­tive rese­arch efforts
  • the abi­lity to write and pre­sent con­cisely
  • an inde­pen­dent, inter- and mul­ti­di­sci­pli­nary thin­king
  • out­stan­ding inter­per­so­nal and com­mu­ni­ca­tion skills
  • tar­get- and solu­tion dri­ven work atti­tude, per­so­nal com­mit­ment, relia­bi­lity, fle­xi­bi­lity, team player
  • inte­rest in sustai­na­bi­lity, mobi­lity and com­plex dyna­mi­cal sys­tems.

What we of­fer:

You will join a team of enthu­si­astic inter­na­tio­nal sci­en­tists who crea­tively pur­sue rese­arch inspi­red by the clus­ter’s inno­va­tive and cross-disci­pli­nary approach. Your activi­ties will be fos­te­red by the cfaed phi­lo­so­phy to pro­mote young rese­ar­chers, which inclu­des: access to state of the art rese­arch of lea­ding aca­de­mic insti­tu­tes, pro­mo­tion of gen­der equa­lity and family-fri­endly work envi­ron­ment.
App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties.

About cfaed
cfaed is a rese­arch clus­ter at TU Dres­den. It brings tog­e­ther more than 100 rese­ar­chers from the uni­ver­sity and 10 other rese­arch insti­tu­tes in the areas of Elec­tri­cal and Com­pu­ter Engi­nee­ring, Com­pu­ter Sci­ence, Mate­ri­als Sci­ence, Phy­sics, Che­mi­stry, Bio­logy, and Mathe­ma­tics. cfaed addres­ses the advan­ce­ment of elec­tro­nic infor­ma­tion pro­ces­sing sys­tems through explo­ring new tech­no­lo­gies which over­come the limits of today’s pre­do­mi­nant CMOS tech­no­logy. www.cfaed.tu.dresden.de

About TU Dres­den
The TU Dres­den is among the top uni­ver­si­ties in Ger­many and Europe and one of the ele­ven Ger­man uni­ver­si­ties that were iden­ti­fied as an ‘elite uni­ver­sity’. As a modern full-sta­tus uni­ver­sity with 18 facul­ties it offers a wide aca­de­mic range making it one of a very few in Ger­many.

How to ap­ply:

Your app­li­ca­tion (in Eng­lish only) should include: con­cise moti­va­tion let­ter (max. 2 pages), CV with publi­ca­tion list, names and con­tact details of at least two refe­ren­ces, copy of degree cer­ti­fi­cate and proof of Eng­lish lan­guage skills. Com­plete app­li­ca­ti­ons should be sub­mit­ted pre­fer­a­bly via the TU Dres­den Secu­re­Mail Por­tal https://securemail.tu-dresden.de by sen­ding it as a sin­gle pdf docu­ment quo­ting the refe­rence num­ber PhD-ND 0420 in the sub­ject hea­der to recruiting.cfaed@tu-dresden.de or alter­na­tively by mail to TU Dres­den, cfaed, Pro­fes­sur für Netz­werk-Dyna­mik, Herrn Prof. Dr. Marc Timme, Helm­holtz­str. 10, 01069 Dres­den, Ger­many. The clo­sing date for app­li­ca­ti­ons is 21.02.2020 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies). Please sub­mit copies only, as your app­li­ca­tion will not be retur­ned to you. Expen­ses incur­red in atten­ding inter­views can­not be reim­bur­sed.

Refe­rence to data pro­tec­tion: Your data pro­tec­tion rights, the pur­pose for which your data will be pro­ces­sed, as well as fur­ther infor­ma­tion about data pro­tec­tion is avail­able to you on the web­site: https://tu-dresden.de/karriere/datenschutzhinweis