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Tech­ni­sche Infor­ma­ti­ons­bi­blio­thek (TIB) - Pro­gram Area C, Rese­arch and Devel­op­ment

TIB, being part of the Leib­niz Rese­arch Asso­ci­ation, is with around 550 employ­ees one of the lar­gest tech­nical inform­a­tion cen­tres in Ger­many, hav­ing three main func­tions:
1. Act­ing in the capa­city of the Leib­niz Inform­a­tion Centre for Sci­ence and Tech­no­logy, our for­ward-look­ing ser­vices secure the infra­struc­tural require­ments for pro­vid­ing rese­arch­ers in sci­ence and indus­try with high-qual­ity inform­a­tion and lit­er­at­ure.
2. Car­ry­ing out cut­ting edge rese­arch to fur­ther expand TIB’s role as a Ger­man inform­a­tion centre for the digit­isa­tion of sci­ence and tech­no­logy
3. Offer lib­rary ser­vices for the Leib­niz Uni­ver­sity Han­nover.

Data Sci­ent­ists/Know­ledge Graph Engin­eers (m/f/d)

Work­ing field:

The National Research Data Infra­struc­ture (NFDI) is an out­stand­ing infra­struc­ture ini­ti­at­ive for the sci­ence com­munit­ies in Ger­many with the aim to har­ness the great poten­tial of Research Data as a valu­able resource for sci­ence and research. As of 1st Octo­ber 2020, the first round of NFDI con­sor­tia will receive fund­ing for a period of five years, with the option of a five-year exten­sion. TIB will play a key role in shap­ing the NFDI from the very begin­ning. The fol­low­ing pos­i­tions will be placed within this net­work.

Your chal­lenge
Your role will be essen­tial for the devel­op­ment of a National Research Data Infra­struc­ture (NFDI). The National Research Data Infra­struc­ture for Engin­eer­ing (NFDI4Ing) con­sor­tium brings together all engin­eer­ing research com­munit­ies and pro­motes the man­age­ment of their research data. Thus, research data are made avail­able in a sus­tain­able way accord­ing to the FAIR prin­ciples under free licenses in a cit­able form. Behind NFDI4Ing are eight uni­versity and three non-uni­versity research insti­tu­tions, includ­ing the TIB - Leib­niz Inform­a­tion Centre for Sci­ence and Tech­no­logy. Lead­ing engin­eer­ing sci­ent­ists work in an open, dynamic and high-per­form­ance team with exper­i­enced infra­struc­ture pro­viders. In cooper­a­tion with the Forschung­szen­trum Jülich, the TIB is lead­ing a research ini­ti­at­ive to develop a semantic frame­work for the machine-pro­cess­able rep­res­ent­a­tion and repro­duc­tion of sci­entific con­cepts in the field of extens­ive & het­ero­gen­eous data require­ments.

Your tasks will focus on
  • Form­al­ize meth­od­o­lo­gical know­ledge to semantic­ally rich and machine-inter­pretable con­cepts
  • Embed the meth­od­o­lo­gical con­cepts into a know­ledge graph struc­ture and ensure their find­ab­il­ity and access­ib­il­ity by deploy­ing a concept explor­a­tion frame­work
  • Design and devel­op­ment of a web fron­tend for the selec­tion of soft­ware com­pon­ents and data sets to sci­entific work­flows
  • Sup­port the auto­mated applic­a­tion of meth­od­o­lo­gical know­ledge by provid­ing web ser­vices com­pil­ing neces­sary soft­ware and data com­pon­ents


Your com­pet­ence area should be squarely rooted in Data Sci­ence and soft­ware engin­eer­ing or related fields. You should be able to think cre­at­ively, grasp new know­ledge quickly, be able to design and develop innov­at­ive soft­ware sys­tems and be inter­ested in mas­ter­ing com­plex chal­lenges.

  • Suc­cess­fully com­pleted uni­versity degree (Mas­ter’s degree or equi­val­ent) in a rel­ev­ant field of study such as Com­puter Sci­ence, Inform­a­tion Sci­ence, Math­em­at­ics or com­par­able
  • Excel­lent pro­fi­ciency in Semantic Web Tech­no­lo­gies, Onto­logy devel­op­ment and Data Man­age­ment
  • Excel­lent know­ledge of one or more mod­ern pro­gram­ming lan­guages (espe­cially Java, Python and JavaS­cript/Web tech­no­lo­gies) as well as proven exper­i­ence in soft­ware devel­op­ment and mod­ern meth­ods of soft­ware devel­op­ment (espe­cially Git, Scrum, DevOps, CI)

  • Famili­ar­ity with Nat­ural Lan­guage Pro­cessing, Arti­fi­cial Intel­li­gence, Data Ana­lyt­ics or Digital Lib­rar­ies
  • Know­ledge of Research Data Man­age­ment Tools and Ser­vices

What we of­fer:

The Tech­nis­che Inform­a­tions­bib­lio­thek (TIB) - Leib­niz Inform­a­tion Centre for Sci­ence and Tech­no­logy - Pro­gram Area C, Research and Devel­op­ment, is look­ing to employ two

Data Sci­ent­ists/Know­ledge Graph Engin­eers (m/f/d)

to work in Data Sci­ence & Digital Lib­rar­ies Research Group (Prof. Dr. Sören Auer) at the earli­est pos­sible oppor­tun­ity.

For one pos­i­tion, the reg­u­lar weekly work­ing time is 39.8 hours (full-time). For the second pos­i­tion, the reg­u­lar weekly work­ing time is 29.85 hours (part-time, 75%).

Both pos­i­tions are ini­tially lim­ited to 3 years with envi­sioned exten­sion in the con­text of NFDI. The full-time pos­i­tion is only suit­able for part-time work to a lim­ited extent. The remu­ner­a­tion of both pos­i­tions is based on pay scale group 13 TV-L.

What we offer
In TIB’s Research and Devel­op­ment Depart­ment, you have the oppor­tun­ity to fur­ther your sci­entific devel­op­ment in a dynamic and excel­lent research envir­on­ment. We provide a sci­en­tific­ally and intel­lec­tu­ally inspir­ing envir­on­ment with an entre­pren­eur­ial mind­set embed­ded in a lead­ing tech­nical uni­versity and one of the largest tech­nical inform­a­tion centres being part of the Leib­niz Asso­ci­ation.

The research depart­ment at the TIB is rel­at­ively young and offers many oppor­tun­it­ies. It is our vis­ion to rethink the rep­res­ent­a­tion and pro­vi­sion of data and inform­a­tion and to organ­ize them in an Open Research Know­ledge Graph (ORKG) in the future. There is a close cooper­a­tion with the L3S Research Centre at Leib­niz Uni­versity Han­nover, one of the world's lead­ing research insti­tutes in the field of Web & Data Sci­ence, within the Leib­niz Joint Lab Data Sci­ence & Open Know­ledge.

Last but not least, we attach great import­ance to an open and cre­at­ive work­ing atmo­sphere in which it is fun to work.

Fur­ther­more, we offer
  • Fund­ing for neces­sary equip­ment, con­fer­ence and research visit travel
  • Work in the con­text of a national research and innov­a­tion pro­ject
  • A port­fo­lio of tech­no­logy com­pon­ents to build on, includ­ing ORKG, Open­Re­, TIB AV-Portal, DBpe­ and other
  • A mod­ern work­place in a cent­ral loc­a­tion of Han­over with a col­legial, attract­ive and ver­sat­ile work­ing envir­on­ment
  • Com­pre­hens­ive and intens­ive train­ing in an inter­est­ing, var­ied and future-ori­ented field of activ­ity
  • Flex­ible work­ing hours (flexi­time) as well as offers for recon­cil­ing work and fam­ily life, such as mobile work, home office and remote work options
  • An employer with a wide range of internal and external fur­ther edu­ca­tion and train­ing meas­ures, work­place health pro­mo­tion and a sup­ple­ment­ary pen­sion scheme for the pub­lic sec­tor (VBL)
  • Dis­count for employ­ees in the canteens of the Stu­den­ten­werk Han­nover as well as the pos­sib­il­ity to use the vari­ous offers of the Uni­versity Sports Han­nover
  • A salary in the pub­lic ser­vice with a salary in pay scale group 14 TV-L accord­ing to the pro­vi­sions of the col­lect­ive agree­ment for the pub­lic ser­vice in Ger­many (TV-L), includ­ing a spe­cial annual pay­ment and 30 days of vaca­tion per year

If you are inter­ested, ques­tions regard­ing the pos­i­tion can be addressed to the dir­ector of TIB, Prof. Dr. Sören Auer (

How to ap­ply:

We look for­ward to receiv­ing your applic­a­tion. To sub­mit your applic­a­tion, please use the online applic­a­tion form on our homepage.

Paper applic­a­tions are also pos­sible on an equal basis. In this case, please send your com­plete applic­a­tion doc­u­ments with the sub­ject 41/2020 before Septem­ber23, 2020 addressed to the given address or altern­at­ively as a single PDF doc­u­ment file to For applic­a­tions in digital from, please send a PDF file with a max­imum size of 10 MB.

TIB is an equal oppor­tun­ity employer, provid­ing ideal work­ing con­di­tions, and con­tinu­ously tak­ing action to enable its employ­ees to com­bine career interests with fam­ily life. It wants to pro­mote equal career oppor­tun­it­ies for women and men in par­tic­u­lar and there­fore urges qual­i­fied women to apply.

Severely dis­abled can­did­ates with com­par­able qual­i­fic­a­tions will be given pref­er­en­tial treat­ment.

Please note that your applic­a­tion doc­u­ments will not be returned and applic­a­tion and travel costs can­not be reim­bursed.