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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.

Research Asso­ci­ates / PhD Can­did­ates (m/f/d)

Work­ing field:

Pos­sible PhD top­ics include (but are not lim­ited to)
  • Sci­entific Data Man­age­ment - Semantic Data Lakes for Sci­ence - requires demon­strated, rig­or­ous know­ledge of data man­age­ment (rela­tional data­bases, SQL, graph data­bases, XML, RDF) and good know­ledge of Big Data tech­no­lo­gies
  • Semantic Data Integ­ra­tion - requires solid back­ground in know­ledge extrac­tion using nat­ural lan­guage and image pro­cessing, as well as know­ledge rep­res­ent­a­tion, cur­a­tion and semantic integ­ra­tion
  • Query Pro­cessing - requires demon­strated exper­i­ence in formal data­base query lan­guages, found­a­tions of query pro­cessing and novel tech­no­lo­gies for scal­ing up to Big data
  • Machine Learn­ing - requires solid exper­i­ence in Arti­fi­cial Intel­li­gence and state-of-the-art machine learn­ing paradigms
  • Research Data Con­tain­ers - requires demon­strated, rig­or­ous know­ledge of data man­age­ment and vir­tu­al­iz­a­tion tech­niques (Docker)
  • Semantic Schol­arly Com­mu­nic­a­tion - requires good know­ledge of semantic know­ledge rep­res­ent­a­tion of sci­entific lit­er­at­ure
  • Know­ledge Graph Man­age­ment - requires good back­ground on form­al­isms for know­ledge rep­res­ent­a­tion in know­ledge graphs and semantic data man­age­ment tech­no­lo­gies
  • Ques­tion Answer­ing Infra­struc­tures - requires excel­lent soft­ware archi­tec­ture skills, interest in semantic tech­no­lo­gies and nat­ural lan­guage pro­cessing

Require­ments:

  • Suc­cess­fully com­pleted uni­versity degree (Mas­ter or com­par­able) in a rel­ev­ant field like Com­puter Sci­ence, Math­em­at­ics or Inform­a­tion Sci­ence
  • Interest in mas­ter­ing and solv­ing prob­lems of sci­entific data man­age­ment in areas like bio­medi­cine, gen­om­ics and immun­o­lo­gics
  • Pro­fi­ciency in spoken and writ­ten Eng­lish; Pro­fi­ciency in Ger­man is a plus.
  • Excel­lent pro­fi­ciency in mod­ern pro­gram­ming lan­guages and mod­ern soft­ware engin­eer­ing meth­od­o­lo­gies; Proven team soft­ware devel­op­ment skills
  • Interest in mas­ter­ing and apply­ing com­pu­ta­tional formal mod­els
  • Famili­ar­ity with Semantic Tech­no­lo­gies, Big Data Man­age­ment, Data­bases, Know­ledge Graphs, Nat­ural Lan­guage Pro­cessing, Arti­fi­cial Intel­li­gence, Data Ana­lyt­ics and Life Sci­ences

What we of­fer:

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

Research Asso­ci­ates / PhD Can­did­ates (m/f/d)

to work in diverse research pro­jects of the Sci­entific Data Man­age­ment Group under super­vi­sion of Prof. (Univ. Simón Bolívar) Dr. Maria-Esther Vidal at the earli­est pos­sible date.

The pos­i­tions are ini­tially lim­ited to 3 years with envi­sioned exten­sion. The reg­u­lar weekly work­ing time is 29.85 hours (part-time, 75 %). The remu­ner­a­tion is based on pay scale group 13 TV-L.

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. Cur­rently, there are five research groups in the depart­ment: Data Sci­ence and Digital Lib­rar­ies, Sci­entific Data Man­age­ment, Know­ledge Infra­struc­tures, Learn­ing and Skills Ana­lyt­ics and Visual Ana­lyt­ics. Com­mon to all research groups is the 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 Research Cen­ter L3S of Leib­niz Uni­versity Han­nover within the frame­work of the Leib­niz Joint Lab Data Sci­ence & Open Know­ledge - the L3S is one of the world's lead­ing research insti­tutes in the fields of Web & Data Sci­ence. 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
  • Can­did­ates will work in the con­text of a national, European or inter­na­tional research and innov­a­tion pro­ject
  • A mod­ern work­place in a cent­ral loc­a­tion of Han­over with a col­legial, attract­ive and ver­sat­ile work­ing envir­on­ment
  • Flex­ible work­ing hours (flexi­time) as well as offers for recon­cil­ing work and fam­ily life, such as mobile work
  • 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 accord­ing to the pro­vi­sions of the col­lect­ive agree­ment for the pub­lic ser­vice in Ger­many (TV-L)

If you are inter­ested, ques­tions regard­ing the pos­i­tions can be addressed to Prof. (Univ. Simón Bolívar) Dr. Maria-Esther Vidal, head of Sci­entific Data Man­age­ment Group, by mail at maria.vidal@tib.eu.

How to ap­ply:

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 53/2019 before Decem­ber 15, 2019 addressed to the given address or altern­at­ively as a single PDF doc­u­ment file to bewerbung@tib.eu. 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.

We look for­ward to receiv­ing your applic­a­tion!