An­ge­bot 54 von 397 vom 13.06.2018, 12:04


Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tute of Soft­ware Engin­eer­ing and The­or­et­ical Com­puter Sci­ence / Qual­ity and Usab­il­ity Lab

Rese­arch Assist­ant - salary grade E13 TV-L Ber­liner Hoch­schu­len

part-time emplo­ment may be pos­sible

The major­ity of sys­tems and ser­vices that are provided by com­puter sci­ence, elec­trical engin­eer­ing and inform­a­tion tech­no­logy finally are dir­ec­ted towards the needs of their human users. To suc­cess­fully build such sys­tems and ser­vices it is essen­tial to invest­ig­ate and under­stand users and their beha­vior when inter­act­ing with tech­no­logy. On the one hand, this under­stand­ing allows to derive design prin­ciples for human-machine-inter­faces and to define require­ments con­cern­ing the sys­tems and their under­ly­ing tech­no­lo­gies. On the other hand, new avail­able tech­no­lo­gies offer new pos­sib­il­it­ies regard­ing the design of such inter­faces and the devel­op­ment of new kinds of inter­ac­tion.
The Qual­ity and Usab­il­ity Lab is part of the TU Ber­lin’s Fac­ulty IV and deals with the design and eval­u­ation of human-machine inter­ac­tion. Here at the Q&U Lab the main sub­jects of our research are human per­cep­tion, aspects of tech­nical sys­tems that are related to the inter­ac­tion as well as inter­ac­tion design.

Work­ing field:

The advert­ised pos­i­tion includes par­ti­cip­a­tion in the devel­op­ment of an open-sci­ence-plat­form for research data, espe­cially lan­guage data. The plat­form is inten­ded to allow the inter­act­ive cur­a­tion of research data and to demon­strate open sci­ence in rela­tion to con­crete usage scen­arios in the every­day work of research­ers in vari­ous dis­cip­lines. Spe­cific­ally it involves the imple­ment­a­tion of a graph­ical user inter­face (for the search, ana­lysis and visu­al­iz­a­tion of research data), vari­ous basic func­tions, the con­nec­tion to external data and know­ledge sources, as well as the integ­ra­tion of exist­ing demon­strat­ors. The pro­ject is being car­ried out in close cooper­a­tion with Deutsches Forschung­szen­trum für Künst­liche Intel­li­genz GmbH (DFKI); the topic can provide a basis for a doc­toral dis­ser­ta­tion.
The pro­ject in par­tic­u­lar includes the fol­low­ing tasks:
  • Devel­op­ment and imple­ment­a­tion of an open sci­ence plat­form for research data based on already exist­ing com­pon­ents
  • Col­lec­tion of rel­ev­ant approaches and sys­tems
  • Selec­tion of suit­able tech­no­lo­gies, frame­works and inter­faces
  • Col­lab­or­a­tion with col­leagues in rel­ev­ant regional ini­ti­at­ives
  • Research, pub­lic­a­tion and present­a­tion of research res­ults in sci­entific journ­als and at con­fer­ences
  • The oppor­tun­ity for work­ing on a doc­toral dis­ser­ta­tion is given


  • Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ence, com­puter engin­eer­ing, com­puter lin­guist­ics, lan­guage tech­no­logy, or a related fields of study
  • Good pro­gram­ming skills and safe hand­ling of devel­op­ment tools (such as Python, Java, HTML/CSS, JavaS­cript, JSON etc.)
  • Exper­i­ence in the real­iz­a­tion of web applic­a­tions and know­ledge of cur­rent frame­works (backend and fron­tend pro­gram­ming, ideally full-stack)
  • Know­ledge of the fol­low­ing areas is of advant­age: Semantic Web and Linked Data; Research Data Man­age­ment; Digital Human­it­ies; Metadata and related stand­ards, know­ledge graphs, onto­lo­gies
  • Abil­ity to work inde­pend­ently and pur­pose­fully
  • Strong com­mu­nic­a­tion and cooper­a­tion skills
  • Very good Eng­lish lan­guage skills, flu­ent Ger­man lan­guage skills

How to ap­ply:

Please send your writ­ten applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments (in par­tic­u­lar letter of application, curriculum vitae, copies of certificates, job references, 1 – 2 academic letters of recommendation) to Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, Quality and Usability Lab, Prof. Dr. Möller, Sekr. TEL 18, Ernst-Reuter-Platz 7, 10587 Berlin or by e-mail to

To ensure equal oppor­tu­nit­ies bet­ween women and men, app­li­ca­ti­ons by women with the requi­red qua­li­fi­ca­ti­ons are expli­citly desi­red.
Qua­li­fied indi­vi­du­als with disa­bi­li­ties will be favo­red. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.

Please send cop­ies only. Ori­gi­nal docu­ments will not be retur­ned.