The De­part­ment of Biosys­tems Sci­ence and En­gin­eer­ing (D-​BSSE, www.bsse.ethz.ch) at ETH Zurich in­vites ap­plic­a­tions for the above-​mentioned po­s­i­tion. D-​BSSE is loc­ated in Basel, the heart of the BioVal­ley area provid­ing ex­cel­lent op­por­tun­it­ies for col­lab­or­a­tion within this strong life sci­ence re­search com­munity at the aca­demic, clin­ical, and phar­ma­ceut­ical in­dustry level.

The fu­ture As­sist­ant Pro­fessor is ex­pec­ted to build a strong and vis­ible re­search pro­gram in the de­vel­op­ment of data sci­ence meth­ods and tools for het­ero­gen­eous data char­ac­ter­iz­ing com­plex biosys­tems. A can­did­ate cap­able of ad­van­cing stat­ist­ical and com­pu­ta­tional mod­el­ing of large-​scale bioen­gin­eer­ing and bio­med­ical data and trans­lat­ing mod­els, meth­ods, and find­ings into clin­ical ap­plic­a­tions is sought. Pos­sible re­search top­ics in­clude, but are not lim­ited to, sus­tain­able data sci­ence for emer­ging bioen­gin­eer­ing ap­proaches, data in­teg­ra­tion and data fu­sion, and bio­med­ical data sci­ence for ad­vanced ther­apies. Can­did­ates should have a doc­toral de­gree in Data Sci­ence, Com­pu­ta­tional Sci­ence, Com­pu­ta­tional Bio­logy, or re­lated dis­cip­lines, and demon­strated evid­ence of the abil­ity to de­velop novel stat­ist­ical, com­pu­ta­tional, and ma­chine learn­ing meth­ods for bio­med­ical data­sets. Suc­cess­ful can­did­ates have a strong pub­lic­a­tion re­cord re­flect­ing in­nov­at­ive, in­ter­dis­cip­lin­ary, trans­la­tional, and col­lab­or­at­ive ap­proaches to im­port­ant prob­lems in bio­medi­cine. Com­mit­ment to teach­ing and the abil­ity to lead a re­search group are ex­pec­ted.

As­sist­ant pro­fess­or­ships have been es­tab­lished to pro­mote the ca­reers of younger sci­ent­ists. ETH Zurich im­ple­ments a ten­ure track sys­tem equi­val­ent to that of other top in­ter­na­tional uni­ver­sit­ies.

ETH Zurich is an equal op­por­tun­ity and family-​friendly em­ployer, val­ues di­versity, and is re­spons­ive to the needs of dual-​career couples.

Please ap­ply on­line

Ap­plic­a­tions should in­clude a cur­riculum vitae, a list of pub­lic­a­tions, a state­ment of fu­ture re­search and teach­ing in­terests, a de­scrip­tion of the lead­er­ship philo­sophy, and a de­scrip­tion of the three most im­port­ant achieve­ments**. The let­ter of ap­plic­a­tion should be ad­dressed to the Pres­id­ent of ETH Zurich, Prof. Dr. Joël Mesot. The clos­ing date for ap­plic­a­tions is 15 Au­gust 2023.

*The se­lec­tion com­mit­tee has star­ted the se­lec­tion pro­cess; ap­plic­a­tions can still be sub­mit­ted.

**ETH Zurich em­phas­izes qual­it­at­ive as­sess­ment of aca­demic ac­com­plish­ments. This is why you are kindly asked to sub­mit a short de­scrip­tion of your three most im­port­ant achieve­ments (max­imum a half page each). Be­sides re­search find­ings, these could also be ex­traordin­ary achieve­ments in teach­ing and its fur­ther de­vel­op­ment, ser­vices in the be­ne­fit of the aca­demic com­munity or so­ci­ety, soft­ware de­vel­op­ment, pat­ents, know­ledge trans­fer and its prac­tical ap­plic­a­tion, spin-​​​off com­pan­ies or sim­ilar.