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Lehr­stuhl für Bio­lo­gi­sche Bild­ge­bung an der Techi­schen Uni­ver­si­tät Mün­chen

The Chair of Bio­lo­gical Ima­ging (CBI) at the Tech­nical Uni­versity of Munich (TUM) and the Insti­tute of Bio­lo­gical and Med­ical Ima­ging (IBMI) at Helm­holtz Munich are an integ­rated, multi-dis­cip­lin­ary research struc­ture and form the corner­stone of a rap­idly expand­ing bioen­gin­eer­ing eco­sys­tem in Munich, Ger­many; includ­ing the Research Cen­ter Trans­laTUM and the Helm­holtz Pion­eer Cam­pus, which integ­rate bioen­gin­eer­ing with onco­logy and meta­bolic dis­orders, respect­ively. CBI sci­ent­ists develop next-gen­er­a­tion ima­ging and sens­ing meth­ods to meas­ure pre­vi­ously inac­cess­ible prop­er­ties of liv­ing sys­tems, hence, cata­lyz­ing break­throughs in bio­logy, medi­cine and the envir­on­ment. Com­pris­ing 11 inter-dis­cip­lin­ary labor­at­or­ies and sci­ent­ists from more than 25 coun­tries, CBI offers state-of-the-art infra­struc­ture for innov­at­ive research and a per­fect envir­on­ment to accel­er­ate your career.
Join our team and be part of our rich and dynamic research cul­ture of enquiry and innov­a­tion. CBI research­ers come from the top ranks of phys­ics, chem­istry, engin­eer­ing, and bio­medi­cine and attract sig­ni­fic­ant invest­ment from national and inter­na­tional sources. Our sci­ent­ists serve in inter­na­tional soci­et­ies and con­fer­ences and are recip­i­ents of a mul­ti­tude of top inter­na­tional and Ger­man awards, includ­ing the pres­ti­gi­ous Gottfried Wil­helm Leib­niz prize and 11 ERC awards. In addi­tion to sci­entific excel­lence, CBI pro­motes entre­pren­eur­ship, com­pany spin-off activ­it­ies, and col­lab­or­a­tions with other top aca­demic insti­tu­tions and lead­ing cor­por­a­tions in the photon­ics, phar­ma­ceut­ic­als and health­care sec­tors.
We now seek a highly qual­i­fied and motiv­ated PhD stu­dent (f/m/d) to drive the devel­op­ment of com­pu­ta­tional tools and data ana­lysis meth­ods in multis­pec­tral optoacous­tic tomo­graphy for label-free ima­ging of meta­bolic para­met­ers in anim­als and humans.

PhD stu­dent for com­pu­ta­tional meth­ods in car­dio-meta­bolic ima­ging (f/m/d)

Working field:

Multis­pec­tral optoacous­tic tomo­graphy (MSOT) enables label-free ima­ging of oxy- and deoxy­hemo­globin as an intrinsic tis­sue bio­sensor to resolve oxy­gen sat­ur­a­tion and util­iz­a­tion as a meta­bolic indic­ator. Moreover, it images lipid dis­tri­bu­tion and water. There­fore, it has strong poten­tial to provide dynamic meas­ure­ments of car­dio-meta­bolic status. However, MSOT is cur­rently not optim­ized and not val­id­ated for meta­bol­ism stud­ies. Our goal is to develop a deeper-reach­ing MSOT and con­firm in-vivo MSOT assays for meas­ur­ing tis­sue bioen­er­get­ics and lipid pro­files in-vivo in anim­als and humans in the con­text of meta­bolic dis­eases.
The suc­cess­ful can­did­ate will be instru­mental in re-design­ing MSOT and adapt­ing it to stud­ies of meta­bol­ism and val­id­ate the re-designed sys­tem for car­dio-meta­bolic ima­ging against estab­lished gold-stand­ard ima­ging tech­niques. You will develop data ana­lysis meth­ods to extract meta­bolic mark­ers from the rich spec­tral ima­ging data­sets gen­er­ated by MSOT ima­ging sys­tems and help design optim­ized sys­tem spe­cific­a­tions for improved data qual­ity, espe­cially in deeper tis­sue lay­ers.
Given the pre­val­ence of car­dio-meta­bolic dis­ease in mod­ern soci­et­ies, this pro­ject has huge poten­tial for high-impact research find­ings and exploit­a­tion. You will be integ­rated into a net­work of high-pro­file research­ers within a novel DFG-fun­ded research group, giv­ing you excel­lent oppor­tun­it­ies for sci­entific inter­ac­tion and pro­fes­sional growth.


The suc­cess­ful applic­ant must have the fol­low­ing:
  • A mas­ter degree in Com­puter Sci­ence, Math­em­at­ics, Stat­ist­ics, Data Sci­ence, Phys­ics, Engin­eer­ing or a related dis­cip­line.
  • Strong motiv­a­tion, sci­entific curi­os­ity and com­mit­ment to sci­entific excel­lence.
  • Exper­i­ence in at least two of the fol­low­ing top­ics: sig­nal and image pro­cessing, data ana­lysis, machine learn­ing, math­em­at­ical mod­el­ling and sim­u­la­tion, inverse prob­lems.
  • Expert­ise in bio­med­ical ima­ging is an advant­age.
  • Good pro­gram­ming skills (prefer­ably Python, MAT­LAB).
  • Team player skills and enthu­si­asm to work in a multi-dis­cip­lin­ary, col­lab­or­at­ive envir­on­ment.
  • Excel­lent com­mand of the Eng­lish lan­guage.

What we offer:

We offer you the unique chance to make a dif­fer­ence in future health­care. At CBI, we strongly believe in sci­entific excel­lence and innov­a­tion. This is your oppor­tun­ity to be part of and to advance your career in a world-lead­ing research insti­tute, where bioen­gin­eer­ing prin­ciples meet today’s chal­lenges in bio­logy, medi­cine and envir­on­mental health to develop the solu­tions of tomor­row. CBI provides a highly inter­na­tional, multi-dis­cip­lin­ary envir­on­ment with excel­lent oppor­tun­it­ies for pro­fes­sional growth. You will be part of a dynamic, pro­fes­sional and highly motiv­ated team within a stim­u­lat­ing envir­on­ment and gain inter­na­tional expos­ure through our part­ners and col­lab­or­at­ors across Europe and the world. We sup­port career devel­op­ment, con­tin­ued edu­ca­tion and life-long learn­ing. For PhD stu­dents, TUM offers a wide vari­ety of inspir­ing and chal­len­ging PhD pro­grams, which will sup­ple­ment your research train­ing with out­stand­ing oppor­tun­it­ies for early career devel­op­ment.

Situ­ated on the foot­hills of the Alps, Munich is con­sist­ently ranked as one of the most vibrant and enjoy­able cit­ies in the world, with an excep­tion­ally qual­ity of life. Greater Munich is also home to sev­eral world-class uni­versit­ies and research insti­tutes, cre­at­ing a truly inspir­ing intel­lec­tual atmo­sphere.

The suc­cess­ful applic­ant will ini­tially have a 3-year con­tract, with the pos­sib­il­ity of exten­sion. Salary will com­men­sur­ate with work exper­i­ence and seni­or­ity (Free State of Bav­aria, TV-L E13-75%). As an equal oppor­tun­ity and affirm­at­ive action employer, TUM expli­citly encour­ages applic­a­tions from women as well as from all oth­ers who would bring addi­tional diversity dimen­sions to the uni­versity’s research and teach­ing strategies. Qual­i­fied applic­ants with phys­ical dis­ab­il­it­ies will be given pref­er­ence.

How to apply:

We are look­ing for­ward to receiv­ing your com­pre­hens­ive applic­a­tion includ­ing your let­ter of motiv­a­tion, CV and aca­demic tran­scripts of records prefer­ably in Eng­lish and in a single PDF file, via email. Please indic­ate “PhD for com­pu­ta­tional meth­ods in car­dio-meta­bolic ima­ging” in the sub­ject line.