Stellenticket Technische Hochschule Wildau

The pro­ject is part of the DFG-fun­ded research group Robust­Cir­cuit, which is car­ried out in close cooper­a­tion with sev­eral neuro­bi­o­lo­gical research groups at the Freie Uni­versität Ber­lin, the Johannes-Guten­berg-Uni­versität Mainz, the Hum­boldt-Uni­versität zu Ber­lin, as well as a math­em­at­ical research group at the Robert Koch Insti­tute. The goal of Robust­Cir­cuit is to invest­ig­ate the role of impre­ci­sion in the assembly of neural cir­cuits and how it affects the struc­tural and func­tional robust­ness of these cir­cuits. To invest­ig­ate this, a num­ber of dif­fer­ent ima­ging tech­niques (e.g., mul­ti­photon micro­scopy) will be used to gen­er­ate time-depend­ent two- and three-dimen­sional image data of neur­ons and sub­cel­lu­lar struc­tures. Your task will be to develop and adapt image ana­lysis meth­ods for these data. Auto­mated track­ing of (sub-)struc­tures will play a par­tic­u­larly import­ant role.

The fol­low­ing require­ments need to be ful­filled:

• very good mas­ter degree in com­puter sci­ence, math­em­at­ics or a related sub­ject with a focus on image ana­lysis as well as a suc­cess­fully final­ized PhD;
• good know­ledge in visu­al­iz­a­tion and visual data ana­lysis;
• exper­i­ence in soft­ware devel­op­ment with C++ and Python;
• high interest in neuro­bi­o­lo­gical research;
• very good com­mu­nic­a­tion and team­work skills, both intern­ally and across dis­cip­lines;
• high degree of self-reli­ance and com­mit­ment;
• very good com­mand of writ­ten and spoken Eng­lish.

It would be favor­able if, addi­tion­ally,

• you are inter­ested and have prior know­ledge in image regis­tra­tion;
• you are inter­ested in meth­ods of machine learn­ing/arti­fi­cial intel­li­gence;
• you have exper­i­ence in research data man­age­ment.

We are offer­ing a friendly work­ing atmo­sphere with flex­ible work and meet­ing times, excel­lent equip­ment, a chal­len­ging pro­fes­sional envir­on­ment as well as

• a mul­ti­fa­ceted, future-ori­ented and respons­ible field of activ­ity,
• com­pre­hens­ive train­ing in a com­pet­ent and cooper­at­ive team,
• oppor­tun­it­ies and sup­port in pro­fes­sional devel­op­ment,
• an addi­tional pen­sion scheme (VBL),
• 30 days annual leave, flex­ible work­ing hours (flexi­time),
• a salary in accord­ance with TV-L (Col­lect­ive Agree­ment for the Pub­lic Ser­vice of the Fed­eral States), tak­ing into account the rel­ev­ant pro­fes­sional exper­i­ence, as well as an end-of-year bonus,
• dis­coun­ted BVG (pub­lic trans­port) ticket as part of the cap­ital city allow­ance,
• and the use of canteens and sports pro­grams of the Free Uni­versity Ber­lin (FUB) at reduced rates.

Please send your applic­a­tion, quot­ing the ref­er­ence code WA 13/22, includ­ing a cover let­ter con­tain­ing a state­ment of your research interests, a CV with a list of pub­lic­a­tions, aca­demic tran­scripts, and con­tact details of two ref­er­ences, by June 10, 2022 (date of receipt) in pdf-format (one file) to: jobs@zib.de
Our private policy state­ment regard­ing applic­a­tion data is avail­able at www.zib.de/impressum.
For fur­ther inform­a­tion about the pos­i­tion, please refer to our web­site www.zib.de or con­tact Dr. Daniel Baum (baum@zib.de).
For fur­ther job offers please visit our web­site at www.zib.de/jobads.

Female applic­ants are highly encour­aged to apply. Since women are under­rep­res­en­ted in inform­a­tion tech­no­logy, the ZIB is try­ing to increase the pro­por­tion of women in this research area.

Applic­ants with dis­ab­il­it­ies will be given pref­er­ence if equally qual­i­fied.