Stellenticket Freie Universität Berlin

Tech­ni­sche Uni­ver­si­tät Dres­den - School of Engi­nee­ring Sci­en­ces, Lab Dres­den Cen­ter for Intel­li­gent Mate­ri­als (DCIM)

Rese­arch Asso­ciate

(Sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­ne­ra­ted accord­ing to salary group E13 TV-L)
The posi­tion is offe­red in the field of Mate­ri­als Infor­ma­tics – data-dri­ven approa­ches for mate­ri­als rese­arch, star­ting at the next pos­si­ble date and limi­ted until Decem­ber 31, 2022. The period of employ­ment is gover­ned by the Fixed Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver­trags­ge­setz - WissZeitVG). An exten­sion of the con­tract and fur­ther sci­en­ti­fic qua­li­fi­ca­tion is plan­ned, sub­ject to results and avai­la­bi­lity of fun­ding. The posi­tion offers the chance to obtain fur­ther aca­de­mic qua­li­fi­ca­tion.
The Lab Dres­den Cen­ter for Intel­li­gent Mate­ri­als (GCL DCIM) focu­ses on novel mate­ri­als which are fun­da­men­tal com­pon­ents of intel­li­gent sys­tems. Such sys­tems auto­no­mously feel, think and act through inte­gra­ted sen­sor and actua­tor func­tio­n­a­li­ties. The Lab con­sists of two rese­arch groups - Mate­ri­als Infor­ma­tics and Hier­ar­chi­cal Topo­lo­gies - who clo­sely coope­rate.
The rese­arch group Mate­ri­als Infor­ma­tics is con­cer­ned with data-dri­ven approa­ches for the descrip­tion and inte­gra­tion of novel tailor-made active 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. 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. Addi­tio­nally, Mate­ri­als Infor­ma­tics also inclu­des the app­li­ca­tion of active mate­ri­als as a means of infor­ma­tion pro­ces­sing.
You will be part of a team of enthu­si­astic sci­en­tists who crea­tively pur­sue their indi­vi­dual rese­arch agenda in a startup-like open atmo­s­phere, sup­por­ted by the Dres­den Cen­ter of Intel­li­gent Mate­ri­als and the School of Engi­nee­ring Sci­en­ces at TU Dres­den. Your rese­arch envi­ron­ment will include access to state-of-the-art and tomor­row’s rese­arch infra­st­ruc­ture, the pro­mo­tion of gen­der equa­lity and a family-fri­endly working envi­ron­ment. Through your work, you will be empowe­red to con­tri­bute to sci­en­ti­fic pro­gress through open sci­ence and com­mu­ni­ca­tion.