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Tech­ni­sche Uni­ver­si­tät Dres­den - Cen­ter for Mole­cu­lar and Cel­lu­lar Bio­en­gi­nee­ring (CMCB), the Clus­ter of Excel­lence „Phy­sics of Life” (PoL)

Tech­ni­sche Uni­ver­si­tät Dres­den as a Uni­ver­sity of Excel­lence is one of the lea­ding uni­ver­si­ties in Ger­many, and is ran­ked among the 100 most inno­va­tive uni­ver­si­ties world­wide. Its dis­tin­guis­hing fea­ture is a strong focus on rese­arch as well as its diver­si­fied offer of more than 120 degree pro­grams in Engi­nee­ring Sci­en­ces, Natu­ral Sci­en­ces, Huma­nities & Social Sci­en­ces and Medi­cine.
It pur­sues a long-term over­all deve­lop­ment pro­gram aimed at making TU Dres­den an inter­na­tio­nal top uni­ver­sity.

Junior Rese­arch Group Lea­der on Data-Dri­ven Mode­ling of Living Mat­ter

(sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­ne­ra­tion accord­ing to salary group
E 15 TV-L with Ten­ure Track to a W2)

The posi­tion is to be fil­led as soon as pos­si­ble, initi­ally for a limi­ted five-year con­tract. At the end of the fourth year, a ten­ure eva­lua­tion will be car­ried out by a cross-faculty and cross-depart­mental com­mis­sion. Fol­lo­wing a posi­tive eva­lua­tion, a per­ma­nent Chair (W2) of Data-Dri­ven Mode­ling of Living Mat­ter will be gran­ted wit­hout a rene­wed call for app­li­ca­ti­ons. The eva­lua­tion pro­cess is based on mutually agreed eva­lua­tion cri­te­ria estab­lished at the start of employ­ment. Essen­tial eva­lua­tion cri­te­ria are sci­en­ti­fic suc­cess, the ori­gi­na­lity and crea­ti­vity of the rese­arch, the qua­lity and quan­tity of the publi­ca­ti­ons, the suc­cess in obtai­ning third-party fun­ding as well as a posi­tively eva­lua­ted tea­ching per­for­mance.

Work­ing field:

The Clus­ter of Excel­lence PoL is embed­ded in a syn­er­gistic, col­le­gial and inter­di­sci­pli­nary net­work, com­pri­sing mul­ti­ple DRES­DEN-con­cept rese­arch insti­tu­tes such as the CMCB at TU Dres­den, the Faculty of Com­pu­ter Sci­ence at TU Dres­den, the Max Planck Insti­tute for the Phy­sics of Com­plex Sys­tems (MPI-PKS) and the Max Planck Insti­tute of Mole­cu­lar Cell Bio­logy and Gene­tics (MPI-CBG), the Leib­niz Insti­tute of Poly­mer Rese­arch Dres­den (IPF) and the Helm­holtz-Zen­trum Dres­den-Ros­sen­dorf (HZDR). Of par­ti­cu­lar inte­rest to this posi­tion are col­la­bo­ra­ti­ons and joint pro­jects in machine lear­ning and com­pu­ta­tio­nal mode­ling with the Cen­ter for Infor­ma­tion Ser­vices and High-Per­for­mance Com­pu­ting (ZIH) of TU Dres­den, the Federal Cen­ter of Com­pe­tence “Cen­ter for Scala­ble Data Ana­ly­tics and Arti­fi­cial Intel­li­gence” (ScaDS.AI) Dres­den/Leip­zig, the Cen­ter for Exp­lainable and Effi­ci­ent AI Tech­no­lo­gies (CEE-AI), the Cen­ter for Advan­ced Sys­tems Under­stan­ding (CASUS) in Gör­litz, and the Cen­ter for Sys­tems Bio­logy Dres­den (CSBD). You will bene­fit from generous basic fun­ding and sup­port struc­tures, inclu­ding access to core faci­li­ties, high-per­for­mance com­pu­ting infra­st­ruc­ture, and admi­nis­tra­tive sup­port.

During the tem­porary employ­ment, you will prove that you are able to fully rep­re­sent the sub­ject area Data-Dri­ven Mode­ling of Living Mat­ter in rese­arch and tea­ching. You are expec­ted to estab­lish an inter­na­tio­nally visi­ble rese­arch pro­gram as an inde­pen­dent junior rese­arch group lea­der. Com­mit­ment to cross-disci­pli­nary col­la­bo­ra­ti­ons, by working clo­sely with other rese­arch groups of PoL in phy­sics, bio­logy, and com­pu­ter sci­ence is necessary for this posi­tion. Tea­ching in Ger­man or Eng­lish, e.g. in the inter­na­tio­nal mas­ter pro­grams, as well as par­ti­ci­pa­tion in aca­de­mic self-admi­nis­tra­tion are expec­ted.

Require­ments:

We are loo­king for app­li­ca­ti­ons from early career rese­ar­chers with a uni­ver­sity and doc­to­ral degree in com­pu­ter sci­ence, mathe­ma­tics, engi­nee­ring, phy­sics, or rela­ted disci­pli­nes, to estab­lish a strong and inter­na­tio­nally lea­ding rese­arch pro­gram to start their inde­pen­dent career focu­sed on data-dri­ven models and simu­la­ti­ons of living mat­ter, such as deve­lo­ping and app­ly­ing algo­rith­mic and com­pu­ta­tio­nal approa­ches to infe­rence and lear­ning of models from data in the phy­si­cal study of living sys­tems. You are expec­ted to carry out rese­arch in the PoL Rese­arch Ave­nue “Sci­en­ti­fic Com­pu­ting and Sys­tems Micro­scopy”. The­re­fore, your rese­arch pro­gram may include, but is not limi­ted to: lear­ning of con­ti­nuum or mole­cu­lar spa­tio-tem­po­ral models from bio­lo­gi­cal micro­scopy images and videos; lear­ning appro­xi­mate solu­ti­ons of mathe­ma­ti­cal models from nume­ri­cal simu­la­tion data, in par­ti­cu­lar models of active mechano-che­mi­cal self-orga­ni­za­tion; lear­ning phy­si­cally con­sis­tent scale cou­plings in multi-scale models from data; data fusion with high-dimen­sio­nal omics data; data-dri­ven dimen­sio­na­lity reduc­tion; data-dri­ven sur­ro­gate models for acce­le­ra­ting nume­ri­cal simu­la­tion; dis­tri­bu­ted, par­al­lel, and scala­ble com­pu­ting for data-dri­ven mode­ling. App­li­ca­ti­ons of these deve­lop­ments in the rese­arch areas of PoL are expec­ted. These include: bio­mole­cu­lar con­den­sa­tes, mole­cu­lar com­part­ment­a­li­za­tion of the cell, tis­sue self-orga­ni­za­tion and tis­sue mor­pho­ge­ne­sis, active mole­cu­lar sys­tems, emer­gence of shape and form in bio­logy, as well as app­li­ca­ti­ons in medi­cine and disease or in soft con­den­sed mat­ter phy­sics. The pri­mary cri­te­ria for appoint­ment will be a strong record of inno­va­tive rese­arch and aca­de­mic per­for­mance, an ori­gi­nal and pro­mi­sing vision for the future work pro­gram at PoL, as well as a high poten­tial for estab­li­shing an inde­pen­dent rese­arch group with fruit­ful inter­di­sci­pli­nary col­la­bo­ra­ti­ons. Tea­ching expe­ri­ence in the named areas is highly desi­ra­ble. The pre­re­qui­si­tes for appoint­ment to the per­ma­nent chair (W2) after suc­cess­ful ten­ure eva­lua­tion are based on § 58 of the Act on the Auto­nomy of Insti­tu­ti­ons of Hig­her Edu­ca­tion in the Free State of Sax­ony (SächsHSFG).

What we of­fer:

For fur­ther infor­ma­tion please con­tact the Speaker of the Clus­ter of Excel­lence, Prof. Dr. Ste­phan Grill, tel. +49 351 210 2300 and the lea­der of the Rese­arch Ave­nue, Prof. Dr. Ivo Sbalza­rini, tel. +49 351 463 38527; e-mail: recruiting.pol@tu-dresden.de.

TU Dres­den sup­ports ten­ure-track staff through the YOU PROF pro­gram. Men­to­ring, coa­ching ses­si­ons, and con­ti­nuing edu­ca­tion pro­grams pro­vide active pro­fes­sio­nal gui­d­ance and sup­port throughout the dura­tion of the junior rese­arch group fun­ding.

How to ap­ply:

TU Dres­den seeks to employ more female rese­ar­chers in lea­dership posi­ti­ons. Hence, we par­ti­cu­larly encou­rage qua­li­fied women to apply. App­li­ca­ti­ons from can­di­da­tes with disa­bi­li­ties or those with addi­tio­nal sup­port needs are very wel­come. The Uni­ver­sity is a cer­ti­fied family-fri­endly uni­ver­sity and offers a Dual Career Ser­vice. If you have ques­ti­ons about these topics, please feel free to con­tact the Equal Oppor­tu­nities Offi­cer of the CMCB (Mr. Mar­tin Kaß­ner, +49 351 458-82083) or the Rep­re­senta-tive of Employees with Disa­bi­li­ties (Mr. Roberto Lemm­rich, Tel.: +49 351 463-33175).

Please sub­mit your app­li­ca­tion inclu­ding a cover let­ter exp­lai­ning your moti­va­tion to apply for this posi­tion, a CV inclu­ding publi­ca­tion list, a descrip­tion of past rese­arch accom­plish­ments and future rese­arch plans (five pages maxi­mum), copies of up to three of your most important publi­ca­ti­ons, an over­view of your past fun­ding, super­vi­sion, and tea­ching expe­ri­ence, inclu­ding tea­ching eva­lua­ti­ons if avail­able (pre­fer­a­bly of the past three years), tog­e­ther with a cer­ti­fied copy of the docu­ment awar­ding your hig­hest aca­de­mic degree, by mail before Octo­ber 15, 2021 (stam­ped arri­val date app­lies) to TU Dres­den, Spre­cher des Exzel­lenz­clus­ters „Phy­sik des Lebens”, Herrn Prof. Dr. Ste­phan Grill, Tatz­berg 47/49, 01307 Dres­den and in elec­tro­nic form via the Secu­re­Mail Por­tal of TU Dres­den, https://securemail.tu-dresden.de in a sin­gle PDF file to recruiting.pol@tu-dresden.de (sub­ject line “Data-Dri­ven Mode­ling”).

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