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Zuse Insti­tute Ber­lin - Visual Data Ana­lysis research group, which is part of the divi­sion Math­em­at­ics of Com­plex Sys­tems

The Zuse Insti­tute Ber­lin (ZIB) is a non-uni­ver­sity rese­arch insti­tute under pub­lic law of the state of Ber­lin. We con­duct rese­arch and devel­op­ment in app­lied math­em­at­ics and com­puter sci­ence as well as the ana­lysis and pro­ces­sing of com­plex data in con­junc­tion with high-per­form­ance com­put­ing.

Research Pos­i­tion (m/f/d)
(PhD stu­dent) Ref­er­ence Code: WA 16/22
Pay Grade: E13 TV-L Ber­lin (75%)

Working field:

The task is to develop meth­ods of data visu­al­iz­a­tion for the iden­ti­fic­a­tion and visu­al­iz­a­tion of
spa­ti­otem­poral struc­tures to achieve a bet­ter under­stand­ing of multiscale phe­nom­ena that
occur dur­ing the form­a­tion of weather fronts, with a focus on cold fronts. This includes the
devel­op­ment, imple­ment­a­tion and test­ing of inter­act­ive meth­ods
  • for defin­ing (form­ally and with visual sup­port) spa­ti­otem­poral struc­tures,
  • for extract­ing such struc­tures from large spa­ti­otem­poral data,
  • for com­par­ing mul­tiple time-depend­ent fields – quant­it­at­ively and struc­ture-based
as well as the use of these meth­ods to com­pare met­eor­o­lo­gical data from vari­ous sources.
The work is part of the DFG Col­lab­or­at­ive Research Cen­ter 1114 "Scal­ing Cas­cades in Com­plex
Sys­tems", which has been estab­lished at the Freie Uni­versität Ber­lin and aims to invest­ig­ate
multiscale phe­nom­ena. Sub­pro­ject C06 "Multiscale Struc­ture of Atmo­spheric Vor­tices" seeks
to model the com­plex multiscale pro­cesses involved in the devel­op­ment of met­eor­o­lo­gical
phe­nom­ena such as trop­ical storms and weather fronts. For this pur­pose, the pro­cess
inter­ac­tions are mod­elled math­em­at­ic­ally via the par­tially determ­in­istic and partly chaotic or
ran­dom cas­cades of scales. This research shall be sup­por­ted by meth­ods of data visu­al­iz­a­tion..


Ideally, you ful­fill the fol­low­ing require­ments
  • Mas­ter degree in com­puter sci­ence, math­em­at­ics, phys­ics or a related sub­ject
  • very good know­ledge in visu­al­iz­a­tion and visual data ana­lysis
  • exper­i­ence in soft­ware devel­op­ment with C++
  • good com­mu­nic­a­tion and team­work skills, both intern­ally and across dis­cip­lines
  • high degree of self-reli­ance and com­mit­ment
  • good com­mand of writ­ten and spoken Eng­lish
It would be favor­able if, addi­tion­ally,
  • you are inter­ested and have prior know­ledge in com­puter graph­ics;
  • you are inter­ested in met­eor­o­lo­gical ques­tions.
The sci­entific pub­lic­a­tion of the res­ults in Eng­lish as well as the par­ti­cip­a­tion in inter­na­tional
and national con­fer­ences is expec­ted and made pos­sible

What we offer:

  • a mul­ti­fa­ceted, future-ori­ented and demand­ing field of activ­ity,
  • com­pre­hens­ive train­ing in a com­pet­ent and cooper­at­ive team,
  • 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,
  • 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 Freie Uni­versität Ber­lin (FUB) at
reduced rates.

How to apply:

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
Applic­ants with dis­ab­il­it­ies will be given pref­er­ence if equally qual­i­fied.
Please send your applic­a­tion, quot­ing the ref­er­ence code WA 16/22, includ­ing a cover let­ter
con­tain­ing a state­ment of your research interests, your CV with a list of pub­lic­a­tions, aca­demic
tran­scripts and con­tact details of two ref­er­ences, by 04 July 2022 (date of receipt) in pdf-format
Our private policy state­ment regard­ing applic­a­tion data is avail­able at
For fur­ther inform­a­tion about the pos­i­tion, please refer to our web­site or con­tact
Dr. Daniel Baum (
For fur­ther job offers please visit our web­site at