Angebot 380 von 592 vom 15.11.2021, 10:48


Fried­rich-Schil­ler-Uni­ver­si­tät Jena - Insti­tute for Phys­ical Chem­istry

riedrich Schiller Uni­versity is a tra­di­tional uni­versity with a strong research pro­file rooted in the heart of Ger­many. As a uni­versity cov­er­ing all dis­cip­lines, it offers a wide range of sub­jects. Its research is focused on the areas Light-Life-Liberty. It is closely net­worked with non-research insti­tu­tions, research com­pan­ies and renowned cul­tural insti­tu­tions. With around 18,000 stu­dents and more than 8,600 employ­ees, the uni­versity plays a major role in shap­ing Jena's char­ac­ter as a cos­mo­pol­itan and future-ori­ented city.
The "Leib­niz Cen­ter for Photon­ics in Infec­tion Research" (LPI) in Jena is an open user cen­ter where photonic solu­tions for dia­gnostics, mon­it­or­ing and exper­i­mental ther­apy in infec­tions are researched and developed into func­tional solu­tions with industry. The LPI was jointly applied for by the Leib­niz Insti­tute for Photonic Tech­no­lo­gies Jena e.V. (Leib­niz-IPHT), the Leib­niz Insti­tute for Nat­ural Product Research and Infec­tion Bio­logy - Hans Knöll Insti­tute (Leib­niz-HKI) as well as the Uni­versity Hos­pital Jena and the Friedrich Schiller Uni­versity Jena under the pat­ron­age of the Leib­niz Asso­ci­ation. The Data Stew­ard for Photonic data sci­ence is respons­ible for the qual­ity of the data and data sources at LPI.

Data Stew­ard Photonic data sci­ence (m/f/d)

Working field:

  • Advan­cing stand­ards in good sci­entific prac­tice in all steps of data man­age­ment in close cooper­a­tion with IT and life sci­ent­ists
  • Explor­ing data flows in sci­entific work and imple­ment­ing prac­tical improve­ments in data man­age­ment with a view to the FAIR prin­ciples
  • Develop metadata descrip­tions for exper­i­mental work­flows; imple­ment soft­ware exper­i­mental work­flows; imple­ment soft­ware tools to facil­it­ate metadata col­lec­tion
  • Data man­age­ment plan­ning in col­lab­or­a­tion with sci­ent­ists
  • Improve­ment of organ­iz­a­tional and tech­nical data man­age­ment infra­struc­ture in col­lab­or­a­tion with IT spe­cial­ists
  • Develop train­ing pro­grams for vari­ous aspects of sci­entific data man­age­ment
  • Integ­ra­tion of elec­tronic labor­at­ory doc­u­ment­a­tion (ELN, LIMS, LES, SDMS) and con­trolled vocab­u­lar­ies into data man­age­ment infra­struc­ture
  • Devel­op­ment of applic­a­tions for data man­age­ment and doc­u­ment­a­tion


  • Rel­ev­ant com­pleted PhD in a nat­ural, math­em­at­ical, or com­puter sci­ence field
  • Pro­gram­ming exper­i­ence related to data­base meas­ure­ment or inter­act­ive applic­a­tions
  • Extens­ive work exper­i­ence in a data-driven research envir­on­ment
  • Skills and exper­i­ence with rela­tional and object-ori­ented data mod­els
  • Strong com­mu­nic­a­tion skills, both in Eng­lish as well as Ger­man (spoken and writ­ten)

What we offer:

  • An excit­ing/var­ied/inter­est­ing field of employ­ment / Autonom­ous work at one of the largest employ­ers in Thuringia / An excit­ing and var­ied scope of activ­it­ies with cre­at­ive free­dom
  • Inter­dis­cip­lin­ary research at the inter­face between bio­logy, medi­cine, optics, and data sci­ence
  • Excel­lent equip­ment and infra­struc­ture
  • An inter­est­ing pos­i­tion at an inter­na­tional level / Par­ti­cip­a­tion in inter­na­tional con­fer­ences
  • A Gradu­ate Academy for doc­toral can­did­ates and postdocs;
  • A fam­ily-friendly work­ing envir­on­ment with a vari­ety of offers for fam­il­ies: Uni­versity Fam­ily Office 'JUni­Fam­ilie' and flex­ible child­care ('JUni­Kinder);
  • Uni­versity health pro­mo­tion and a wide range of uni­versity sports activ­it­ies;
  • Flex­ible work­ing hours (flexi­time and, if applic­able, tele­work­ing)
  • A com­pre­hens­ive fur­ther and con­tinu­ing edu­ca­tion pro­gramme and indi­vidual qual­i­fic­a­tion and devel­op­ment meas­ures
  • Attract­ive fringe bene­fits, e.g. cap­ital form­a­tion bene­fits (VL), Job Ticket (bene­fits for pub­lic trans­port), and an occu­pa­tional pen­sion (VBL);
  • Remu­ner­a­tion based on the pro­vi­sions of the Col­lect­ive Agree­ment for the Pub­lic Sec­tor of the Fed­eral States (TV-L) at salary scale 13 - depend­ing on the can­did­ate's per­sonal qual­i­fic­a­tions-, includ­ing a spe­cial annual pay­ment in accord­ance with the col­lect­ive agree­ment.

How to apply:

Are you eager to work for us? Then sub­mit your detailed applic­a­tion by email (one PDF file), stat­ing the vacancy ID 429/2021 by 26 Novem­ber 2021 to: