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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, CBI 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, chem­istry, engin­eer­ing, and bio­medi­cine 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.
To drive innov­at­ive data ana­lysis approaches and pro­pel fea­ture extrac­tion from med­ical ima­ging data to the next level, we now seek a highly qual­i­fied and motiv­ated com­puter sci­ent­ist (f/m) in data ana­lysis and machine learn­ing.

Postdoc­toral fel­low (f/m)

Com­puter sci­ent­ist in data ana­lysis and machine learn­ing

Work­ing field:

We work at the inter­face of tech­no­logy and medi­cine, innov­at­ing ima­ging tech­no­lo­gies based on optical and acous­tic con­trast that can be applied in basic bio­logy research and imple­men­ted in the clinic to sup­port non-invas­ive dia­gnostics, treat­ment and man­age­ment of dis­ease. Our port­fo­lio includes a broad range of tech­niques, includ­ing optical micro­scopy, optoacous­tic micro­scopy, and optoacous­tic tomo­graphy, that can gen­er­ate struc­tural and func­tional inform­a­tion about healthy and dis­eased tis­sue at unpre­ced­en­ted depths inside organ­isms. We have only begun to scratch the sur­face of how much inform­a­tion we can extract and ana­lyze from the myriad of images gen­er­ated with these tech­niques. There­fore, if you are an exper­i­enced Com­puter Sci­ent­ist with expert­ise in machine learn­ing, join our team and help us gain as many bio­med­ical rel­ev­ant insights as pos­sible from our ima­ging stud­ies. Our goal is to optim­ize exist­ing ima­ging plat­forms to bring them closer to clin­ical imple­ment­a­tion, as well as to stim­u­late new ana­lyt­ical approaches that cata­lyze fur­ther ima­ging innov­a­tion. This is your oppor­tun­ity to con­trib­ute to a med­ical ima­ging revolu­tion!

Require­ments:

  • A Ph.D. and uni­versity degree in com­puter sci­ence, math­em­at­ics, or a related field.
  • Excel­lent track record of research achieve­ment and pub­lic­a­tions in top-ranked journ­als.
  • Strong motiv­a­tion, sci­entific curi­os­ity and com­mit­ment to sci­entific excel­lence.
  • Exper­i­ence with data ana­lysis, machine learn­ing and deep learn­ing.
  • Exper­i­ence in pro­gram­ming in Python.
  • Team player who thrives within multi-dis­cip­lin­ary teams and will­ing­ness to con­tinue learn­ing.
  • Excel­lent com­mand of the Eng­lish lan­guage

The fol­low­ing qual­i­fic­a­tions are con­sidered advant­age­ous:
  • Pro­fi­ciency in a deep learn­ing frame­work such as Tensor­Flow, PyT­orch.
  • Accom­plish­ments in deep learn­ing either through open source pro­jects, blog con­tri­bu­tions, or pub­lished work in machine learn­ing con­fer­ences such as NIPS, CVPR, ICML, etc.

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. CBI provides a highly inter­na­tional, multi-dis­cip­lin­ary envir­on­ment with excel­lent oppor­tun­it­ies for pro­fes­sional growth. This is a lead­er­ship pos­i­tion at the cen­ter 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 of the Fed­eral Repub­lic of Ger­many (TV-L 13). 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 (f/m) – Com­puter sci­ent­ist in data ana­lysis and machine learn­ing” in the sub­ject line.

For any ques­tions please con­tact:
Dr. Andreas Hill­mair
email: andreas.hillmair@tum.de
tel.: +49 89 4140 6936
Tech­nical Uni­versity of Munich (TUM)
Chair of Bio­lo­gical Ima­ging (CBI)
Ismaninger­str. 22
81675 Munich, Ger­many