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Tech­ni­sche Uni­ver­si­tät Dres­den - Cen­ter for Advan­cing Elec­tro­nics Dres­den

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 / Post­doc
in Theo­re­ti­cal Bio­lo­gi­cal Phy­sics / Bio­lo­gi­cal Image Ana­ly­sis

(sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­ne­ra­ted accord­ing to salary group E 13 TV-L)

The Junior Rese­arch Group “Bio­lo­gi­cal Algo­rithms” hea­ded by PD Dr. Ben­ja­min Fried­rich (fun­ded by the Hei­sen­berg Pro­gramme of the DFG) affi­lia­ted with the Clus­ter of Excel­lence ‘Phy­sics of Life’ (PoL) offers a posi­tion as Rese­arch Asso­ciate / Post­doc in Theo­re­ti­cal Bio­lo­gi­cal Phy­sics / Bio­lo­gi­cal Image Ana­ly­sis star­ting as soon as pos­si­ble until 31.05.2022 with full fun­ding by the Human Fron­tiers Sci­ence Pro­gram. The period of employ­ment is gover­ned by the Fixed Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver­trags­ge­setz - WissZeitVG). An exten­sion is pos­si­ble sub­ject to the avai­la­bi­lity of addi­tio­nal funds.

About the pro­ject: Every stria­ted mus­cle cell in our body con­tains highly regu­lar myo­fi­brils, whose active con­trac­tion drive all our vol­un­tary move­ments. Each myo­fi­bril is a highly regu­lar “bio­lo­gi­cal crys­tal” built as a chain of sar­co­mere units, com­po­sed of regu­lar arran­ge­ment of actin fila­ments and myo­sin mole­cu­lar motors, lin­ked tog­e­ther by gigan­tic titin springs. Alte­ra­tion of this regu­lar archi­tec­ture are lin­ked to disease sta­tes. Yet, the phy­si­cal mecha­nisms dri­ving the self-assem­bly of these myo­fi­brils during deve­lop­ment remain poorly unders­tood.
In a theory-expe­ri­ment col­la­bo­ra­tion with the expe­ri­men­tal groups of Frank Schnor­rer (IBDM, Mar­seil­les) and O. Pour­quie (HMSB, Bos­ton), we are tes­ting the hypo­the­sis that active ten­sion orches­tra­tes sar­co­mere self-assem­bly. For the theory part, we deve­lop agent-based as well as mean-field simu­la­ti­ons of a nema­tic bundle of actin, myo­sin, and titin, which allows us to test alter­na­tive mecha­nisms of myo­fi­bril assem­bly in silico. For an early hypo­the­sis of how actin and myo­sin fila­ments self-assem­ble into regu­lar sar­co­me­ric pat­terns by a com­bi­na­tion of active forces and pas­sive cross­lin­king, see [Fried­rich et al. PLoS Com­pu­ta­tio­nal Bio­logy, 2012].


An important part of this inter­di­sci­pli­nary pro­ject is the ana­ly­sis of image data, spe­ci­fi­cally three-dimen­sio­nal, multi-chan­nel fluo­re­scence micro­scopy at dis­tinct deve­lop­men­tal sta­ges, as well as their sta­tis­ti­cal ana­ly­sis using phy­si­cal order para­me­ters from con­den­sed mat­ter phy­sics. Addi­tio­nally, mole­cu­lar force-sen­sor data for live force mea­su­rements in deve­lo­ping mus­cle fibers is avail­able, for which data ana­ly­sis algo­rithms shall be deve­lo­ped. These data sets direc­tly cons­train the hypo­the­sis space of pos­si­ble self-assem­bly mecha­nism and allows to uni­quely cali­brate model para­me­ters in mathe­ma­ti­cal model deve­lo­ped by a sepa­rate PhD pro­ject, where you can get invol­ved in super­vi­sion. You will be enga­ged in bi-wee­kly mee­tings with the expe­ri­men­tal part­ners with the uni­que oppor­tu­nity to dis­cuss and sug­gest new expe­ri­ments inspi­red by theory.
Full fun­ding inclu­ding tra­vel funds is avail­able from the pres­ti­gious Human Fron­tier Sci­ence Pro­gram. More infor­ma­tion on the pro­ject can be found here:

Er­war­te­te Qua­li­fi­ka­tio­nen:

We are loo­king for a theo­re­ti­cal phy­si­cist or app­lied mathe­ma­ti­cian, who is intrigued to dis­co­ver algo­rithms of life and meets the fol­lo­wing requi­re­ments: uni­ver­sity degree and an excel­lent PhD in Theo­re­ti­cal Phy­sics or rela­ted field such as App­lied Mathe­ma­tics, or Com­pu­ter Sci­ence; expe­ri­ence in state-of-the-art Image Ana­ly­sis (fea­ture detec­tion, 3D tracking, multi-dimen­sio­nal cor­re­la­tion ana­ly­sis); Com­pu­ta­tio­nal Phy­sics (Monte-Carlo and agent-based simu­la­ti­ons, ODEs, PDEs), and excel­lent pro­gramming skills (e.g. Mat­lab, Python, C); strong ana­ly­tic and pro­blem-sol­ving skills, crea­ti­vity; keen inte­rest in app­ly­ing phy­sics to bio­logy and wil­ling­ness to learn some bio­logy en route; strong com­mu­ni­ca­tion skills across sci­en­ti­fic bounda­ries; flu­ency in Eng­lish – oral and writ­ten.

Un­ser An­ge­bot:

About us: You will join a fri­endly group of enthu­si­astic theo­re­ti­cal bio­lo­gi­cal phy­si­cists and mathe­ma­ti­ci­ans, who love to deci­pher the bio­lo­gi­cal algo­rithms that drive non­linear dyna­mics and self-orga­nised pat­tern for­ma­tion in bio­lo­gi­cal cells and tis­sues, while inter­ac­ting clo­sely with expe­ri­men­ta­lists.

Hin­wei­se zur Be­wer­bung:

App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties.
Please sub­mit your app­li­ca­tion (in Eng­lish only) inclu­ding con­cise moti­va­tion let­ter (max. 2 pages), CV with publi­ca­tion list, link to PhD the­sis, names and con­tact details of at least two refe­ren­ces, copy of degree cer­ti­fi­cate and proof of Eng­lish lan­guage skills pre­fer­a­bly via the TU Dres­den Secu­re­Mail Por­tal by sen­ding it as a sin­gle pdf docu­ment quo­ting the refe­rence num­ber PhD-Bio 0820 in the sub­ject hea­der to or by mail to TU Dres­den, cfaed, Nach­wuchs­for­schungs­gruppe “Bio­lo­gi­cal Algo­rithms”, Herrn PD Dr. Ben­ja­min Fried­rich, Helm­holtz­str. 10, 01069 Dres­den, Ger­many. The clo­sing date for app­li­ca­ti­ons is 24.09.2020 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies). Please sub­mit copies only, as your app­li­ca­tion will not be retur­ned to you.

Refe­rence to data pro­tec­tion: Your data pro­tec­tion rights, the pur­pose for which your data will be pro-ces­sed, as well as fur­ther infor­ma­tion about data pro­tec­tion is avail­able to you on the web­site:

About cfaed
cfaed is a Cen­tral Aca­de­mic Unit at TU Dres­den. It brings tog­e­ther more than 100 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.

About Phy­sics of Life
PoL is a Clus­ter of Excel­lence at TU Dres­den aimed at deci­phe­ring the ‘The dyna­mic orga­ni­za­tion of living mat­ter’. It brings tog­e­ther expe­ri­men­tal bio­lo­gists, theo­re­ti­cal phy­si­cists, bio­in­for­ma­ti­ci­ans and com­pu­ter sci­en­tists from TU Dres­den and several Dres­den Con­cept part­ners, inclu­ding two Max-Planck Insti­tu­tes. phy­sics-of-life.tu-dres­

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.