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Tech­ni­sche Uni­ver­si­tät Dres­den - Clus­ter of Excel­lence ‘Cen­ter for Advan­cing Elec­tro­nics Dres­den’ (cfaed)

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 / PhD Stu­dents / Post­docs

Within the Cluster of Excel­lence ‘Cen­ter for Advan­cing Elec­tron­ics Dresden’ (cfaed) the newly estab­lished Chair of Net­work Dynam­ics offers, sub­ject to resources being avail­able, the fol­low­ing pos­i­tions in the research area of Stat­ist­ical Phys­ics and Col­lect­ive Non­lin­ear Dynam­ics of Net­works in the BMBF pro­ject “Col­lect­ive Non­lin­ear Dynam­ics of Power Grid Net­works”:
1: Research Asso­ci­ate (E13 TV-L*), ref­er­ence num­ber 1707_NetDy_A, work­ing hours 50%, fixed-term until 30.11.2018
2: Postdoc (E13 TV-L*), ref­er­ence num­ber 1707_NetDy_B, work­ing hours 100%, fixed-term until 30.11.2018
3: Postdoc (E14 TV-L*), ref­er­ence num­ber 1707_NetDy_C, work­ing hours 100%, fixed-term until 30.11.2018
4: Postdoc (E13 TV-L*), ref­er­ence num­ber 1707_NetDy_D, work­ing hours 100%, fixed-term until 30.11.2018

  • The remu­ner­a­tion is sub­ject to per­sonal qual­i­fic­a­tions

The period of employ­ment is gov­erned by the Fixed-Term Research Con­tracts Act (Wis­senschafts¬zeitver­trags­ge­setz – Wis­sZeitVG). The pos­i­tions start as soon as pos­sible and offer the chance to obtain fur­ther aca­demic qual­i­fic­a­tion (e.g. PhD or habil­it­a­tion). Bal­an­cing fam­ily and career is an import­ant issue. The posts are basic­ally suit­able for can­did­ates seek­ing part-time employ­ment.
The newly estab­lished Chair of Net­work Dynam­ics of Prof. Dr. Marc Timme advances 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 dis­trib­uted com­put­ing in arti­fi­cial and bio­lo­gical neural cir­cuits, optim­iz­a­tion and design of net­worked and flex­ible mobil­ity sys­tems, the col­lect­ive dynam­ics of mod­ern power grids, and net­work inverse prob­lems of identi­fy­ing and design­ing inter­ac­tion topo­logy under­ly­ing a given sys­tem’s dynam­ics and func­tion.

Work­ing field:

Wit­hin the BMBF pro­ject “Collec­tive Non­linear Dyna­mics of Power Grid Net­works”, we aim at under­stan­ding collec­tive dyna­mics, dis­tri­buted func­tion, con­trol and sys­te­mic res­pon­ses of future-com­p­li­ant electric power trans­mis­sion and dis­tri­bu­tion grids.
In par­ti­cu­lar, we aim at tes­ting theo­re­ti­cal pre­dic­tions about the Braess' para­dox, per­tur­ba­tion sprea­ding and decen­tra­li­zed con­trol sche­mes for such grid sys­tems and will advance tech­ni­ques for net­work recon­struc­tion.

Require­ments:

We aim at attrac­ting the best talents from the exact sci­en­ces bet­ween sta­ti­s­ti­cal phy­sics, non­linear dyna­mics, mathe­ma­tics, com­pu­ter sci­ence, theo­re­ti­cal bio­logy and engi­nee­ring. Hence, we expect: for rese­arch asso­ciate / PhD Stu­dents: an out­stan­ding uni­ver­sity degree in theo­re­ti­cal phy­sics, app­lied mathe­ma­tics or rela­ted areas, for Post­docs: an out­stan­ding uni­ver­sity degree and doc­to­ral degree in theo­re­ti­cal phy­sics, app­lied mathe­ma­tics or rela­ted areas, expe­ri­ence in the ana­ly­sis, design or infe­rence for collec­tive pheno­mena in com­plex sys­tems, ide­ally for net­work dyna­mi­cal sys­tems, sound com­pu­ta­tio­nal know­ledge and skills, 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 topic 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, an indi­vi­dual the­sis advi­sory com­mit­tee (TAC) for PhD stu­dents.
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
cfaed is a clus­ter of excel­lence wit­hin the Ger­man Excel­lence Initia­tive. As a cen­tral sci­en­ti­fic unit of TU Dres­den, it 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. www.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 14 depart­ments 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 by e-mail as one sin­gle PDF-docu­ment quo­ting the refe­rence num­ber (see table) in the sub­ject hea­der to recruiting.cfaed@tu-dresden.de (Please note: We are cur­rently not able to receive elec­tro­ni­cally signed and encryp­ted data) or alter­na­tively by post to: TU Dres­den, cfaed, Frau Dr. P. Grün­berg, 01062 Dres­den, Ger­many. Please sub­mit your app­li­ca­ti­ons by 05.10.2017 (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.