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Tech­ni­sche Uni­ver­si­tät Dres­den - School of Engi­nee­ring Sci­en­ces

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 / Group Lea­der

(Sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­ne­ra­ted accord­ing to salary group E 14 TV-L)
The newly estab­lished Lab Dres­den Centre for Intel­li­gent Mate­ri­als (DCIM) offers in the field of Mate­ri­als Infor­ma­tics – data-dri­ven approa­ches for mate­ri­als rese­arch a posi­tion star­ting at the next pos­si­ble date and limi­ted until 31.12.2022. The period of employ­ment is gover­ned by the Fixed Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver­trags­ge­setz - WissZeitVG).
The Lab Dres­den Centre for Intel­li­gent Mate­ri­als (GCL DCIM) is focu­sed on novel mate­ri­als which, as a cen­tral com­po­nent of intel­li­gent sys­tems, feel, think and act auto­no­mously through inte­gra­ted sen­sory and actua­tor func­tio­n­a­li­ties. It initi­ally con­sists of the two rese­arch groups Hier­ar­chi­cal Topo­lo­gies – struc­tures with mate­rial-inherent con­trol func­tions and Mate­ri­als Infor­ma­tics – data-dri­ven approa­ches for mate­ri­als rese­arch and is inten­ded to estab­lish com­ple­men­tary com­pe­ten­cies and to deve­lop pro­mi­sing future rese­arch areas.
The rese­arch group Mate­ri­als Infor­ma­tics is con­cer­ned with data-dri­ven approa­ches for the descrip­tion and inte­gra­tion of novel tailor-made mate­ri­als. Modern mate­ri­als rese­arch requi­res an inte­gra­tive and mul­ti­di­sci­pli­nary approach, which increa­singly relies on methods from mathe­ma­tics and com­pu­ter sci­ence in addi­tion to tra­di­tio­nal approa­ches from che­mi­stry, phy­sics and engi­nee­ring. In par­ti­cu­lar, machine lear­ning and the eva­lua­tion of "big data" are essen­tial for tomor­row's mate­ri­als rese­arch and rela­ted engi­nee­ring sci­en­ces. The deve­lop­ment of stra­te­gies for mate­ri­als dis­co­very and deve­lop­ment are the­re­fore the focus of Mate­ri­als Infor­ma­tics.
You will be part of a team of enthu­si­astic sci­en­tists who will crea­tively pur­sue their indi­vi­dual rese­arch agenda, inspi­red by the inno­va­tive approach and sup­port of the Centre. Your rese­arch envi­ron­ment will include access to state-of-the-art rese­arch infra­st­ruc­ture, the pro­mo­tion of gen­der equa­lity and a family-fri­endly working envi­ron­ment.

Work­ing field:

You will be inte­gra­ted into the activi­ties of the Mate­ri­als Infor­ma­tics rese­arch group and will inter­act with sci­en­tists in the field of com­pu­ta­tio­nal mate­ri­als rese­arch invol­ved in the Dres­den Centre for Com­pu­ta­tio­nal Mate­ri­als Sci­ence (DCMS). The tasks include - in the field of deve­lop­ment and app­li­ca­tion of data-dri­ven approa­ches for the descrip­tion and inte­gra­tion of novel tailor-made mate­ri­als - besi­des own rese­arch activi­ties, the moni­to­ring of the sci­en­ti­fic deve­lop­ment of the group, an active role in the col­la­bo­ra­tion with inter­nal and exter­nal part­ners in rese­arch and indus­try and the acqui­si­tion of exter­nal fun­ding. The posi­tion offers per­fect per­spec­tives for per­so­nal deve­lop­ment wit­hin the frame­work of a uni­ver­sity career from post­doc to group lea­der. The wil­ling­ness to pre­pare an app­li­ca­tion for an indi­vi­dual junior rese­arch group (e.g. Emmy Noe­ther Group, ERC Star­ting Grant) is expec­ted and sup­por­ted.


a uni­ver­sity degree and a doc­to­rate are requi­red, pre­fer­a­bly in phy­sics, che­mi­stry, mecha­ni­cal engi­nee­ring, mate­ri­als sci­ence or com­pu­ter sci­ence. Per­so­nal initia­tive, the abi­lity to work inde­pendently as well as team-ori­en­ted rese­arch and excel­lent lan­guage skills (Ger­man, Eng­lish) are expec­ted. Expe­ri­ence in the field of mate­ri­als simu­la­ti­ons, with a spe­cial focus on data-based and data-inten­sive approa­ches and mate­ri­als geno­mics is con­si­de­red advan­ta­ge­ous. We are loo­king for a top notch proac­tive young sci­en­tist who wants to make a name for herself or him­s­elf in sci­ence.

How to ap­ply:

App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties.
Please sub­mit your com­pre­hen­sive app­li­ca­tion inclu­ding a let­ter of moti­va­tion, a two-page rese­arch state­ment about your pos­si­ble con­tri­bu­tion to the sci­en­ti­fic activi­ties of the group con­si­de­ring the rese­arch envi­ron­ment at TU Dres­den and the sci­en­ti­fic envi­ron­ment in Dres­den, CV, com­plete list of publi­ca­ti­ons and at least two let­ters of refe­rence as one sin­gle pdf-file until 22.10.2020 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies) pre­fer­a­bly via the TU Dres­den Secu­re­Mail Por­tal by sen­ding it to with the sub­ject in the hea­der: "App­li­ca­tion DCIM Mate­ri­als Infor­ma­tics, your_sur­name" or by mail to TU Dres­den, Fakul­tät Maschi­nen­we­sen, Insti­tut für Werk­stoff­wis­sen­schaft, Pro­fes­sur für Mate­ri­al­wis­sen­schaft und Nano­tech­nik, Herrn Prof. Dr. Gianau­re­lio Cuni­berti, Helm­holtz­str. 10, 01069 Dres­den. 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-dres­­riere/daten­schutz­hin­weis