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Tech­ni­sche Uni­ver­si­tät Dres­den - Cen­ter for Advan­cing Elec­tro­nics Dres­den (cfaed), Chair of Net­work Dyna­mics

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 / Team lea­der / Advan­ced Sci­en­tist
“Non­linear Dyna­mics, Com­plex Net­wor­ked Sys­tems, with a focus on Mobi­lity and Trans­port”

(Sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­n­e­ra­ted accord­ing to salary group up to E 14 TV-L)

Terms: the posi­tion is a 4-year appoint­ment and starts as soon as pos­si­ble. The period of em-ploy­ment is gover­ned by the Fixed Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver-trags­ge­setz – Wiss­ZeitVG).

Work­ing field:

The newly esta­blis­hed Chair of Net­work Dyna­mics of Prof. Dr. Marc Timme stri­ves for advan­cing our con­cep­tual under­stan­ding of collec­tive pheno­mena emer­ging in net­work dyna­mi­cal sys­tems across fields. It bridges fun­da­men­tal topics from the Theo­re­ti­cal Phy­sics of com­plex sys­tems to ques­ti­ons on the collec­tive func­tion of bio­lo­gi­cal and bio-inspi­red sys­tems and on self-orga­ni­zed solu­ti­ons for engi­nee­ring sys­tems and sustaina­bi­lity. Through mathe­ma­ti­cal, theo­re­ti­cal and com­pu­ta­tio­nal mul­ti­di­sci­pli­nary rese­arch and deve­lop­ment it addres­ses pres­sing chal­len­ges in a wide range of rese­arch areas, inclu­ding the decen­tral com­pu­ting in arti­fi­cial and bio­lo­gi­cal cir­cuits, opti­miza­t­ion and design of fle­xi­ble and net­wor­ked mobi­lity sys­tems, the collec­tive dyna­mics of future-com­p­li­ant power grids, the crea­tion of con­di­ti­ons under­ly­ing sys­te­mic sustaina­bi­lity and risk miti­ga­tion and net­work inverse pro­blems of iden­ti­fy­ing and desi­gning inter­ac­tion topo­logy under­ly­ing a given sys­tem’s dyna­mics and func­tion.
The suc­cess­ful can­di­date will cont­ri­bute to world-lea­ding rese­arch and teaching on collec­tive pheno­mena in com­plex dyna­mi­cal sys­tems as well as theo­re­ti­cal phy­sics; the work is dri­ven by the aim of reveal fun­da­men­tal con­cep­tual, mathe­ma­ti­cal, and theo­re­ti­cal insights, is inspi­red by and aims at fee­ding back to natu­ral and human-made sys­tems. A focus on mobi­lity or sustaina­bi­lity is desi­red. The can­di­date will also deve­lop mathe­ma­ti­cal and com­pu­ta­tio­nal tools; mine, ana­lyze, struc­ture and con­so­li­date expe­ri­men­tal and nume­ri­cal data; help esta­blis­hing col­la­bo­ra­ti­ons wit­hin TU Dres­den and bey­ond; actively engage in theo­re­ti­cal phy­sics and cross-disci­pli­nary teaching and out­reach, take res­pon­si­bi­lity for orga­niza­t­io­nal tasks and/or IT and sys­tems admi­nis­tra­tion tasks wit­hin the Chair and bey­ond.

Require­ments:

We aim at attrac­ting the best talents from the exact sci­en­ces bet­ween sta­ti­s­ti­cal phy­sics, non­linear dyna­mics and app­lied mathe­ma­tics. Hence, we expect: an out­stan­ding uni­ver­sity degree and doc­to­ral degree in theo­re­ti­cal phy­sics or app­lied mathe­ma­tics; some working expe­ri­ence as Post­doc; expe­ri­ence in the ana­ly­sis, design or infe­rence for collec­tive pheno­mena in com­plex sys­tems, ide­ally for net­work dyna­mi­cal sys­tems; sound com­pu­ta­tio­nal know­ledge and skills; advan­ced IT know­ledge requi­red for the above tasks; expe­ri­ence in teaching and course orga­niza­t­ion; very good inter­per­so­nal and com­mu­ni­ca­tion skills; in par­ti­cu­lar, the ability to effec­tively work in col­la­bo­ra­tive rese­arch efforts, the ability to write and pre­sent con­cisely; an inde­pen­dent, tar­get- and solu­tion-dri­ven work atti­tude; inter- and mul­ti­di­sci­pli­nary thin­king; strong moti­va­tion and inte­rest to join one of the most ambi­tious inter­di­sci­pli­nary rese­arch teams in the field; very good com­mand of Eng­lish - writ­ten and oral. Expe­ri­ence in any of the above rese­arch topics is a plus but not requi­red.

What we of­fer:

You will join a team of enthu­si­a­s­tic sci­en­tists who crea­tively pur­sue their indi­vi­dual rese­arch agenda inspi­red by the clus­ter’s inno­va­tive approach and sup­port. Your rese­arch 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.
Infor­mal enqui­ries can be sub­mit­ted to recruiting.cfaed@tu-dresden.de.
App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties.

About cfaed
As a cen­tral aca­de­mic unit of TU Dres­den, cfaed brings toge­ther 300 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. https://cfaed.tu-dresden.de

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’ in June 2012. 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: moti­va­tion let­ter, CV, 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 to recruiting.cfaed@tu-dresden.de quo­ting the refe­rence num­ber PD1811 in the sub­ject hea­der or alter­na­tively to TU Dres­den, cfaed, Frau Dr. P. Gru­en­berg, Helm­holtz­str. 10, 01069 Dres­den, Ger­many. Please sub­mit your app­li­ca­ti­ons by 07.01.2019 (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