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Tech­ni­sche Uni­ver­si­tät Dres­den - Cen­ter for Advan­cing Elec­tro­nics Dres­den, Junior Rese­arch Group “Bio­lo­gi­cal Algo­rithms”

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 Stu­dent

(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 M. Fried­rich, affi­lia­ted with the Clus­ter of Excel­lence ‘Phy­sics of Life’ (PoL), and fun­ded by the Hei­sen­berg Pro­gramme of the DFG, offers, sub­ject to resour­ces being avail­able, a posi­tion as
Rese­arch Asso­ciate / PhD Stu­dent which ent­ails 65 % of the full­time wee­kly hours. The posi­tion starts as soon as pos­si­ble and is limi­ted for 36 mon­ths. The period of employ­ment is gover­ned by the Fixed Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver­trags­ge­setz - WissZeitVG). The posi­tion offers the chance to obtain fur­ther aca­de­mic qua­li­fi­ca­tion.

About the pro­ject: Regro­wing a lost limb is still a dream in rege­ne­ra­tive medi­cine, yet com­mon in sala­man­ders like axo­lotl. The mecha­nism by which an unst­ruc­tu­red wound blas­tema repat­terns its­elf into a func­tio­nal limb is only partly unders­tood. New quan­ti­ta­tive ima­ging of mor­pho­gen dyna­mics can allow us to deci­pher these mecha­nisms in a theory-expe­ri­ment col­la­bo­ra­tion.

Work­ing field:

You will deve­lop mathe­ma­ti­cal models of mor­pho­gen dyna­mics during limb rege­ne­ra­tion, in close col­la­bo­ra­tion with world-lea­ding expe­ri­men­tal part­ners, to test and refine two alter­nate bio­lo­gi­cal hypo­the­ses. We will start with one-dimen­sio­nal reac­tion-dif­fu­sion-kine­tics cou­pled to local tis­sue growth and refine these step-by-step. In par­al­lel, we will deve­lop image ana­ly­sis algo­rithms to quan­tify spa­tio-tem­po­ral pat­terns of gene expres­sion and key signa­ling fac­tors, ther­eby pro­vi­ding exac­tly those para­me­ters nee­ded in the mathe­ma­ti­cal models to be deve­lo­ped. Wit­hin our theory-expe­ri­ment col­la­bo­ra­tion with Elly Tanaka (Vienna) and Tatiana San­do­val-Guz­man (Dres­den), we will have the uni­que oppor­tu­nity to sug­gest new expe­ri­ments gui­ded by theory and thus to test our theo­re­ti­cal ideas.

Require­ments:

We are loo­king for a theo­re­ti­cal phy­si­cist (or app­lied mathe­ma­ti­cian), who is intrigued to dis­co­ver algo­rithms of life, and meets the fol­lo­wing requi­re­ments:
  • out­stan­ding uni­ver­sity degree in phy­sics, or clo­sely rela­ted field
  • expe­ri­ence in com­pu­ta­tio­nal phy­sics and strong pro­gramming skills (e.g. Mat­lab, Python, C)
  • strong inte­rest in app­ly­ing phy­sics to under­stand life, wil­ling­ness to learn some bio­logy en route
  • strong ana­ly­tic and pro­blem-sol­ving skills, crea­ti­vity
  • strong com­mu­ni­ca­tion skills, espe­ci­ally in cross-disci­pli­nary com­mu­ni­ca­tion
  • flu­ency in Eng­lish – oral and writ­ten
  • expe­ri­ence in sta­tis­ti­cal phy­sics, non­linear dyna­mics, sto­chastic pro­ces­ses; infor­ma­tion theory is a plus.

What we of­fer:

About us: You will join a fri­endly group of enthu­si­astic theo­re­ti­cal bio­lo­gi­cal phy­si­cists, who aim to deci­pher the bio­lo­gi­cal algo­rithms that drive the spa­tio-tem­po­ral non­linear dyna­mics of bio­lo­gi­cal sys­tems at the cell and tis­sue level, inter­ac­ting clo­sely with expe­ri­men­ta­lists.
https://cfaed.tu-dresden.de/friedrich-home

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. 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 18 facul­ties it offers a wide aca­de­mic range making it one of a very few in Ger­many.

How to ap­ply:

App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties.
Please sub­mit your app­li­ca­tion (in Eng­lish only) con­tai­ning a con­cise moti­va­tion let­ter (max. 2 pages), CV with publi­ca­tion list, link to your Mas­ter 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 https://securemail.tu-dresden.de by sen­ding it as a sin­gle pdf docu­ment quo­ting the refe­rence num­ber PhD-Bio 0720 in the sub­ject hea­der to recruiting.cfaed@tu-dresden.de 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 31.08.2020 (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: https://tu-dresden.de/karriere/datenschutzhinweis