Stellenticket Freie Universität Berlin

We are look­ing for an ambi­tious researcher aim­ing to build a suc­cess­ful track-record in sci­ence and tech­no­logy in the con­text of know­ledge graph tech­no­lo­gies and con­trib­ut­ing to stra­tegic research and tech­no­logy goals of TIB and the joint-lab with Leib­niz Uni­versity Han­nover.

Your tasks will focus on
The can­did­ate is expec­ted to take a lead­ing role in the research group, con­trib­ute to our Open Research Know­ledge Graph (ORKG) ini­ti­at­ive and should have exper­i­ence in at least three (and be com­mit­ted to expand to more) of the fol­low­ing areas:

• Pub­lic­a­tion of research res­ults in renowned, peer-reviewed journ­als and con­fer­ences
• Exper­i­ence and interest in lead­ing research teams
• Proven soft­ware engin­eer­ing skills and the abil­ity to lead the devel­op­ment of mature soft­ware com­pon­ents bey­ond pure research pro­to­types
• Suc­cess­ful super­vi­sion of bach­elor, mas­ter and doc­toral stu­dents
• Col­lab­or­a­tion with other research groups, industry, NGOs as well as open-source and com­munity ini­ti­at­ives, for example in the con­text of pub­licly fun­ded col­lab­or­at­ive research pro­jects
• Suc­cess­fully com­pet­ing for fund­ing by national, European and inter­na­tional fund­ing bod­ies
• Trans­fer and com­mer­cial­iz­a­tion of research res­ults, for example, through open-source soft­ware or con­trac­tual research and devel­op­ment for pub­lic insti­tu­tions, industry or other stake­hold­ers

The ideal can­did­ate holds a doc­toral degree in Com­puter Sci­ence, Inform­a­tion Sci­ence, Math­em­at­ics or a related field and is able to com­bine the­or­et­ical and prac­tical aspects in his/her work. The can­did­ate should have a back­ground in a field rel­ev­ant for Web and Data Sci­ence, such as:

• Semantic tech­no­lo­gies, linked data, know­ledge graphs and onto­logy engin­eer­ing
• Arti­fi­cial intel­li­gence, know­ledge rep­res­ent­a­tion and machine learn­ing
• Nat­ural lan­guage pro­cessing and inform­a­tion retrieval
• Soft­ware engin­eer­ing and mod­ern applic­a­tion devel­op­ment
• Data man­age­ment, integ­ra­tion and ana­lysis
• Human-com­puter inter­ac­tion and data visu­al­iz­a­tion

Flu­ent Eng­lish com­mu­nic­a­tion skills are a fun­da­mental require­ment; com­mand of the Ger­man lan­guage is a plus.

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

Senior Post-Doc Know­ledge Graph Tech­no­lo­gies (m/f/d)

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

The pos­i­tion is ini­tially lim­ited to 3 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 on pay scale group 14 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

• Fin­an­cing for neces­sary equip­ment, con­fer­ence and research visit travel
• The suc­cess­ful can­did­ate will work in the con­text of a national, European or inter­na­tional research and innov­a­tion pro­jects
• A port­fo­lio of tech­no­logy com­pon­ents to build on, includ­ing ORKG, Open­Re­search.org, TIB AV-Portal, DBpe­dia.org 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 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 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

If you are inter­ested, ques­tions regard­ing the pos­i­tion can be addressed to Prof. Dr. Sören Auer, Dir­ector of TIB and head of the TIB research depart­ment, by mail at auer@tib.eu.

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-23-2021eng.

Paper applic­a­tions are also pos­sible on an equal basis. In this case, please send your com­plete applic­a­tion doc­u­ments with the sub­ject 23/2021 before April 25, 2021 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.

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.