Blätter-Navigation

Offer 363 out of 579 from 15/06/22, 12:22

logo

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.

Sci­entific Soft­ware Engin­eer / Onto­logy Engin­eer (m/f/d)

Pro­gram Area C, Research and Devel­op­ment, Lab Linked Sci­entific Know­ledge

Working field:

Your chal­lenge
The Lab Linked Sci­entific Know­ledge devel­ops tools and meth­od­o­lo­gies to sup­port sci­ent­ists in the digit­iz­a­tion of their research. This includes tools to doc­u­ment research activ­it­ies and the acquis­i­tion, pro­cessing, ana­lysis, stor­age, pub­lic­a­tion and re-use of research data.

Your tasks will be the devel­op­ment of know­ledge man­age­ment sys­tems and tools for semantic annota­tion of data using onto­lo­gies. Other duties will include con­vert­ing data to RDF as well as stor­age, retrieval, and visu­al­iz­a­tion. We expect you to be able to inde­pend­ently install, run, and main­tain neces­sary soft­ware to build semantic­ally annot­ated data repos­it­or­ies. This requires solid know­ledge of vir­tu­al­iz­a­tion plat­forms such as Docker as well as data­bases such as Vir­tu­oso, Apache Jena, Mon­goDB and oth­ers.

With your work in an inter­dis­cip­lin­ary team, you will make an import­ant con­tri­bu­tion to inform­a­tion infra­struc­ture pro­jects of Col­lab­or­at­ive Research Cen­ters from the engin­eer­ing sci­ences as well as NFDI4Chem, the Chem­istry Con­sor­tium in the National Research Data Infra­struc­ture (NFDI).

Your tasks will focus on
  • Devel­op­ment, cur­a­tion, and integ­ra­tion of onto­lo­gies for chem­istry and engin­eer­ing.
  • Devel­op­ment of con­trolled vocab­u­lar­ies and clas­si­fic­a­tions to stand­ard­ize data for research data man­age­ment (RDM).
  • Devel­op­ment of semantic tools for hand­ling onto­lo­gies and seman­ti­fic­a­tion of research data.
  • Devel­op­ment of know­ledge man­age­ment sys­tems in the con­text of inform­a­tion infra­struc­ture pro­jects of col­lab­or­at­ive research centres from engin­eer­ing sci­ences.
  • Com­munity out­reach and joint devel­op­ment and cur­a­tion of onto­lo­gies with domain experts and onto­logy users.
  • Organ­iz­a­tion of onto­logy work­shops for and with the sci­entific com­munity.

Requirements:

Your qual­it­ies
The suc­cess­ful can­did­ate will have exper­i­ence in com­puter sci­ence, chem­istry or engin­eer­ing sci­ences. You are famil­iar with con­trolled vocab­u­lar­ies and onto­lo­gies to describe domain con­cepts. Excel­lent verbal and writ­ten com­mu­nic­a­tion skills are essen­tial in order to col­lab­or­at­ively develop onto­lo­gies together with the sci­entific com­munity dur­ing work­shops and dis­cus­sions. You should be able to think cre­at­ively, grasp new know­ledge quickly, and be inter­ested in innov­at­ive soft­ware sys­tems and in mas­ter­ing com­plex chal­lenges.

Require­ments
  • Com­pleted uni­versity degree (Bach­elor’s or Mas­ter’s degree) in a rel­ev­ant field of study such as com­puter sci­ence, engin­eer­ing sci­ences, chem­ical inform­at­ics, bioin­form­at­ics, inform­a­tion sci­ences or com­par­able.
  • Excel­lent know­ledge of mod­ern pro­gram­ming lan­guages (espe­cially Python, Java, PHP as well as JavaS­cript and HTML) and mod­ern soft­ware devel­op­ment meth­ods.
  • Proven skills in soft­ware devel­op­ment in a team.
  • Exper­i­ence in devel­op­ing, integ­rat­ing and pub­lish­ing con­trolled vocab­u­lar­ies, ter­min­o­lo­gies and onto­lo­gies
  • Know­ledge in onto­logy devel­op­ment and with core semantic tech­no­lo­gies (RDF, OWL, SPARQL).
  • Solid exper­i­ence in using RDF and SPARQL for data mod­el­ing and query­ing.
  • Exper­i­ence in know­ledge rep­res­ent­a­tion and logic, semantic tech­no­lo­gies, and web engin­eer­ing.
  • Know­ledge and hands-on exper­i­ence with onto­logy tools such as Pro­tegé, Web­Pro­tegé or WebVOWL.
  • Excel­lent verbal and writ­ten com­mu­nic­a­tion skills.

The fol­low­ing will be con­sidered an advant­age
  • Exper­i­ence with Wiki­Me­dia soft­ware envir­on­ments, espe­cially Semantic Medi­aWiki.
  • Pro­fi­ciency in the Ger­man lan­guage.
  • Exper­i­ence with CI/CD work­flows in Git­Lab.
  • Exper­i­ence in DevOps and/or sys­tem admin­is­tra­tion.
  • Famili­ar­ity with and interest in sci­entific data and metadata man­age­ment.
  • Know­ledge of tools and ser­vices for research data man­age­ment.

What we offer:

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. Since 1st Octo­ber 2020, the first round of NFDI con­sor­tia receives fund­ing for a period of five years, with the option of a five-year exten­sion. TIB plays a key role in shap­ing the NFDI from the very begin­ning.

Within this net­work, the Tech­nis­che Inform­a­tions­bib­lio­thek (TIB) – Leib­niz Inform­a­tion Centre for Sci­ence and Tech­no­logy – Pro­gram Area C, Research and Devel­op­ment, is look­ing to employ a

Sci­entific Soft­ware Engin­eer / Onto­logy Engin­eer (m/f/d)

to join the Lab Linked Sci­entific Know­ledge at the earli­est pos­sible oppor­tun­ity.

The pos­i­tion ini­tially lim­ited to 2 years with envi­sioned exten­sion. The reg­u­lar weekly work­ing time is 39.8 hours (full-time). The pos­i­tion is only suit­able for part-time work to a lim­ited extent. The remu­ner­a­tion is based up to pay scale group 13 TV-L, depend­ing on the suc­cess­ful applic­ant's qual­i­fic­a­tions and depend­ing on the assigned tasks and respons­ib­il­it­ies.

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

Ques­tions regard­ing the con­tent of the pos­i­tion can be addressed to Dr. Oliver Koep­ler, head of Lab Linked Sci­entific Know­ledge, by mail at oliver.koepler@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-36-2022eng.

Paper applic­a­tions are also pos­sible on an equal basis. In this case, please send your com­plete applic­a­tion doc­u­ments with the sub­ject 36/2022 before July 14, 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.