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

TIB, being part of the Leib­niz Rese­arch Asso­ci­ation, is with around 600 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 Asso­ci­ate/PhD Can­did­ate “Com­puter Sci­ence: Com­pu­ta­tional Lin­guist­ics & Cor­pus Annota­tion” (m/f/d)

Pro­gram Area C, Rese­arch and Devel­op­ment, Data Sci­ence & Digi­tal Lib­rar­ies Rese­arch Group (Prof. Dr. Sören Auer)

Working field:

Your chal­lenge
The PhD top­ics will be in the con­text of the Open Research Know­ledge Graph (https://www.orkg.org) and the pro­ject “SCINEXT - Neural-Sym­bolic Schol­arly Innov­a­tion Extrac­tion”, fun­ded by the Fed­eral Min­istry of Edu­ca­tion and Research (BMBF). The aim of these pro­jects is to research and develop tech­niques for crowd­sourcing, rep­res­ent­ing and man­aging semantic­ally struc­tured, rich rep­res­ent­a­tions of schol­arly con­tri­bu­tions and research data in know­ledge graphs and thus develop a novel model for schol­arly com­mu­nic­a­tion. In the con­text of the PhD thesis you will be respons­ible for con­duct­ing inde­pend­ent and ori­ginal sci­entific research involving cor­pus devel­op­ment and annota­tion in organ­iz­ing research con­tri­bu­tions in the ORKG in a struc­tured, semantic way, so other research­ers can get a quick over­view on the state-of-the-art in the field. You will par­ti­cip­ate in local, national and inter­na­tional col­lab­or­a­tion activ­it­ies. Given the mul­tidiscip­lin­ary nature of the pro­gramme, we encour­age applic­ants with a strong curi­os­ity and interest in Sci­ence to apply.

Your tasks will focus on
  • Col­lab­or­at­ing with research­ers from dif­fer­ent dis­cip­lines to gain famili­ar­ity with research prob­lems and their con­tri­bu­tion descrip­tions expressed in schol­arly lit­er­at­ure.
  • Con­cep­tu­ally design­ing, mod­el­ling and imple­ment­ing onto­logy-based know­ledge rep­res­ent­a­tions for crowd­sourcing of the Open Research Know­ledge Graph.
  • Annota­tion and cur­a­tion of mul­tidiscip­lin­ary schol­arly con­tri­bu­tion descrip­tions.

Requirements:

Your qual­it­ies
Your com­pet­ence area should be in com­pu­ta­tional lin­guist­ics or related fields. You should be able to think cre­at­ively, to design and develop cor­pus annota­tion guidelines and the cor­pus itself for nat­ural lan­guage pro­cessing; as well as be inter­ested in com­pre­hend­ing research prob­lems in a mul­tidiscip­lin­ary set­ting. You should pos­sess some exper­i­ence or aware­ness in the semantic organ­isa­tion of know­ledge with thesauri, onto­lo­gies, know­ledge graphs and have a high affin­ity to digital ser­vices. You will be respons­ible for devel­op­ing cor­pus resources involving struc­tured fine-grained know­ledge about schol­arly innov­a­tions across at least five dif­fer­ent sci­entific fields for the TIB ORKG stake­hold­ers in Sci­ence and Tech­no­logy. There­fore, you should have good com­mu­nic­a­tion skills, a high degree of research com­munity user ori­ent­a­tion, com­mit­ment, ini­ti­at­ive, abil­ity to work in a team and cre­ativ­ity.

Require­ments
  • Suc­cess­fully com­pleted uni­versity degree (Mas­ter’s degree or com­par­able) in a rel­ev­ant field of study such as Lin­guist­ics, Com­pu­ta­tional Lin­guist­ics or a com­par­able course.
  • You have basic know­ledge of annota­tion tools, pro­gram­ming (prefer­ably Python) and ideally have some exper­i­ence with ver­sion con­trol pro­grams (Git).
  • You have fairly good lin­guistic know­ledge, espe­cially in semantics, syn­tax and prag­mat­ics as well as nat­ural lan­guage pro­cessing.
  • You have already inde­pend­ently organ­ized and com­pleted your own pro­jects regard­ing cor­pus annota­tion guidelines devel­op­ment, annota­tion, and qual­ity eval­u­ation.
  • The inter­face of lin­guist­ics and com­puter sci­ence is an excit­ing area for you.
  • Interest in digital lib­rar­ies, research data man­age­ment, curi­os­ity about mul­tidiscip­lin­ary schol­arly com­mu­nic­a­tion (e.g., Social Sci­ences, Astro­nomy, Math­em­at­ics, Vir­o­logy and Mater­i­als Sci­ence) as applic­a­tion domains and a pas­sion for mas­ter­ing and apply­ing semantic tech­no­lo­gies.
  • You are inter­ested in famil­i­ar­iz­ing your­self with new top­ics and pro­jects.
  • Pro­fi­ciency in spoken and writ­ten Eng­lish and excel­lent com­mu­nic­a­tion skills. Pro­fi­ciency in Ger­man is a plus.

Desir­able addi­tions to your pro­file
  • Exper­i­ence with how lin­guistic know­ledge can be deployed to improve the per­form­ance of NLP sys­tems and with how com­pu­ta­tional meth­ods can serve the pur­poses of lin­guistic ana­lysis.
  • Exper­i­ence with lan­guage mod­els includ­ing semantic embed­dings and/or know­ledge graphs in NLP applic­a­tions.
  • Basic under­stand­ing of data struc­tures, algorithms, and their com­plex­it­ies.
  • Pub­lic­a­tions in reput­able Com­pu­ta­tional Lin­guist­ics/NLP ven­ues.

What we offer:

The Tech­nis­che Inform­a­tions­bib­lio­thek (TIB) – Leib­niz Inform­a­tion Centre for Sci­ence and Tech­no­logy – Pro­gram Area C, Research and Devel­op­ment, is – sub­ject to the final approval by the third-party fund­ing agency – look­ing to employ a

Research Asso­ci­ate/PhD Can­did­ate “Com­puter Sci­ence: Com­pu­ta­tional Lin­guist­ics & Cor­pus Annota­tion” (m/f/d)

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

The pos­i­tion is ini­tially lim­ited to three years with envi­sioned exten­sion. The reg­u­lar weekly work­ing time is 39.8 hours (full-time). The pos­i­tion is suit­able for part-time work only to a lim­ited extend. The remu­ner­a­tion is based on pay scale group 13 TV-L.

What we offer
Our mis­sion is to keep rethink­ing and innov­at­ing the pro­vi­sion and use of research data and inform­a­tion. In TIB’s Research and Devel­op­ment Depart­ment, you have the oppor­tun­ity to advance your career in a siz­able, dynamic and excel­lent 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. TIB col­lab­or­ates closely 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, cre­at­ive and fun work atmo­sphere.

Fur­ther­more, we offer
  • Fin­an­cing for neces­sary equip­ment, con­fer­ence and research visit travel
  • Work in the con­text of national and inter­na­tional research and innov­a­tion pro­jects
  • A port­fo­lio of tech­no­logy com­pon­ents, includ­ing ORKG, Open­Re­search.org, TIB AV-Portal, DBpe­dia.org, among oth­ers
  • A mod­ern work­place in a cent­ral loc­a­tion of Han­over with a col­legial, attract­ive and ver­sat­ile work­ing envir­on­ment
  • A com­pre­hens­ive and in-depth train­ing
  • Flex­ible work­ing hours (flexi­time) as well as offers for recon­cil­ing work and fam­ily life such as mobile work 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 job in the pub­lic ser­vice ori­ented towards the com­mon good with a salary in pay scale group 13 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 Dr. Jen­nifer D’Souza by mail at Jennifer.DSouza@tib.eu.

How to apply:

We look for­ward to receiv­ing your applic­a­tion. To sub­mit your applic­a­tion, please use the online applic­a­tion form on our homepage at https://tib.eu/bewerbungsformular-32-2022eng.

Paper applic­a­tions are also pos­sible on an equal basis. In this case, please send your com­plete applic­a­tion doc­u­ments with the sub­ject 32/2022 before June 28, 2022 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.

In the case of for­eign uni­versity degrees, it is man­dat­ory to sub­mit a State­ment of Com­par­ab­il­ity from the Cent­ral Office for For­eign Edu­ca­tion (ZAB) for the final assess­ment of the hir­ing require­ments dur­ing the hir­ing pro­cess. A fee will be charged for this. This oblig­a­tion does not apply if the for­eign uni­versity degree has already been assessed by an expert and is lis­ted in the ANA­BIN data­base of the ZAB as an equi­val­ent uni­versity degree.

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.

Severely dis­abled can­did­ates with com­par­able qual­i­fic­a­tions will be given pref­er­en­tial treat­ment. We wel­come applic­a­tions from all nation­al­it­ies.

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

Please indic­ate in the sub­ject line of your applic­a­tion through which job board you became aware of our offer.