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Lehr­stuhl für Bio­lo­gi­sche Bild­ge­bung an der Techi­schen Uni­ver­si­tät Mün­chen

Are you pas­sion­ate about sci­ence, full of ideas and innov­at­ive poten­tial that drive change and enjoy work­ing in an inter­na­tional, fast-paced envir­on­ment? Are you motiv­ated by the soci­etal impact of research and seek an oppor­tun­ity to play an instru­mental part in the devel­op­ment of emer­ging tech­no­lo­gies for bio­logy and health­care? Then the Chair of Bio­lo­gical Ima­ging (CBI) at the Tech­nical Uni­versity of Munich (TUM), Ger­many, and its integ­rated Insti­tute of Bio­lo­gical and Med­ical Ima­ging (IBMI) at the Helm­holtz Zen­trum Muenchen (HMGU) is the ideal envir­on­ment for you!
CBI is the corner­stone of a rap­idly expand­ing bioen­gin­eer­ing eco­sys­tem in the Munich sci­ence area; 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 and medi­cine. Com­pris­ing 11 inter-dis­cip­lin­ary labor­at­or­ies and sci­ent­ists from more than 25 coun­tries, IBMI offers state-of-the-art infra­struc­ture for innov­at­ive research and a per­fect envir­on­ment to accel­er­ate your career. Our research aims to shift the paradigm of bio­lo­gical dis­cov­ery and trans­la­tion to address major health chal­lenges of our time and develop the med­ical solu­tions of tomor­row.
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, engin­eer­ing, chem­istry, bio­logy and medi­cine and our pipeline fre­quently yields high-impact papers, suc­cess­ful tech­no­logy spin-offs and com­mer­cial­iz­a­tion. Our research is reg­u­larly fea­tured in major news chan­nels and received broad recog­ni­tion includ­ing sev­eral pres­ti­gi­ous awards and con­sid­er­able research fund­ing from national and inter­na­tional sources.
We now seek a highly qual­i­fied and motiv­ated postdoc­toral fel­low (f/m/d) to drive the devel­op­ment of advanced recon­struc­tion meth­ods for clin­ical multis­pec­tral optoacous­tic tomo­graphy (MSOT) pro­jects.

Postdoc­toral fel­low in advanced recon­struc­tion meth­ods for clin­ical multis­pec­tral optoacous­tic tomo­graphy (f/m/d)

Work­ing field:

Multis­pec­tral Optoacous­tic Tomo­graphy (MSOT) is a novel med­ical ima­ging mod­al­ity that provides images of bio­lo­gical tis­sue with optical con­trast and acous­tic res­ol­u­tion at a depth up to sev­eral cen­ti­meters. By illu­min­at­ing bio­lo­gical tis­sue with laser pulses of dif­fer­ent wavelengths and record­ing ultra­sound waves gen­er­ated via the pho­toacous­tic effect, MSOT can non-invas­ively detect dif­fer­ent chro­mo­phores, such as oxy­gen­ated and deoxy­gen­ated hemo­globin or lip­ids, without the need for exo­gen­ous con­trast agents. The under­ly­ing recon­struc­tion prob­lem is a highly chal­len­ging non-lin­ear and ill-posed inverse prob­lem. Even though the method has demon­strated its clin­ical value, the reli­able quant­it­at­ive recon­struc­tion of chro­mo­phore con­cen­tra­tions from clin­ical MSOT data has not been achieved so far.
The suc­cess­ful can­did­ate will develop and effi­ciently imple­ment advanced recon­struc­tion meth­ods for quant­it­at­ive MSOT in an inter­dis­cip­lin­ary team. She or he will also explore meth­ods to integ­rate ultra­sound data acquired in hybrid MSOT and ultra­sound (OPUS) sys­tems into the recon­struc­tion. In addi­tion, the can­did­ate is expec­ted to con­trib­ute to the insti­tute’s recon­struc­tion soft­ware devel­op­ment, and to act­ively par­ti­cip­ate in the recon­struc­tion and ana­lysis of clin­ical MSOT data, provided by a team of trained clini­cians. In par­tic­u­lar, exploit­ing the bene­fits of data-driven meth­ods in both recon­struc­tion and data ana­lysis are of great interest for MSOT and OPUS. The can­did­ate can build on exist­ing meth­ods and soft­ware developed at the insti­tute.

Require­ments:

The suc­cess­ful applic­ant must have the fol­low­ing:
  • A Ph.D. in Math­em­at­ics, Com­puter Sci­ence, Engin­eer­ing, Phys­ics, Optics or a related dis­cip­line.
  • Excel­lent track record of research achieve­ments and pub­lic­a­tions in top-ranked journ­als.
  • Strong motiv­a­tion, sci­entific curi­os­ity and com­mit­ment to sci­entific excel­lence.
  • Genu­ine interest in med­ical ima­ging and bio­med­ical applic­a­tions.
  • Pro­gram­ming and soft­ware devel­op­ment skills.
  • Exper­i­ence in the man­age­ment of large med­ical data­sets is con­sidered a strong asset.
  • In-depth know­ledge of sig­nal and image pro­cessing and detec­tion tech­niques.
  • 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 and medi­cine to develop the solu­tions of tomor­row. IBMI 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. We sup­port career devel­op­ment, con­tin­ued edu­ca­tion and life-long learn­ing.
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 2-year con­tract, with the pos­sib­il­ity of exten­sion. We offer a com­pet­it­ive salary and bene­fits depend­ing on work exper­i­ence and seni­or­ity in accord­ance with the pub­lic ser­vice wage agree­ment (TV-L E13). 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. Pref­er­ence will be given to dis­abled can­did­ates with essen­tially the same qual­i­fic­a­tions.

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 to cbi.recruitment@tum.de. Please indic­ate “Postdoc­toral fel­low in advanced recon­struc­tion meth­ods for clin­ical multis­pec­tral optoacous­tic tomo­graphy” in the sub­ject line.
For any ques­tion please con­tact:
Dr. Dominik Jüstel
email: dominik.juestel@tum.de
tel.: +49 89 4140 9165
Tech­nical Uni­versity of Munich (TUM)
Chair of Bio­lo­gical Ima­ging (CBI)
Ismaninger­str. 22
81675 Munich, Ger­many
Web pages:
www.cbi.ei.tum.de
www.translatum.tum.de
www.pioneercampus.de
https://www.facebook.com/MunichImaging
https://twitter.com/MunichImaging
https://www.linkedin.com/in/munich-imaging/