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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 employ­ment may be pos­sible

The major­ity of sys­tems and ser­vices that are provided by com­puter sci­ence, elec­trical engin­eer­ing and inform­a­tion tech­no­logy finally are ori­ented on 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 sys­tem and its 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 TU Ber­lin’s Fac­ulty IV and deals with the design and eval­u­ation of human-machine inter­ac­tion. Here, 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 pos­i­tion is to do research in the field of speech sig­nals ana­lysis and the determ­in­a­tion of speech qual­ity in dif­fer­ent (mobile and fixed) net­works. There­fore, speech sig­nals of the speaker are to be ana­lyzed in rela­tion to extract­able fea­tures (for example per­man­ent patho­lo­gical changes, tem­por­ary emo­tional states) or the per­ceived qual­ity of speech. Based on these ana­lyses, sig­nal-based and para­met­ric mod­els for the estim­a­tion of speech qual­ity can be exten­ded and integ­rated. One focus here may be the detec­tion of speech pro­duc­tion dis­orders (e.g. post-stroke apah­sia). The mod­i­fied mod­els are to be val­id­ated based on sub­ject­ive hear­ing and con­ver­sa­tion tests. For this pur­pose, meth­ods of crowd work­ing should also be applied, i. e. real users should carry out the data col­lec­tion and/or eval­u­ation via an online plat­form. Sci­en­tific­ally inter­est­ing is the com­par­ison of such data to those that can be obtained under labor­at­ory con­di­tions. The topic can provide a basis for pre­par­ing a doc­toral dis­ser­ta­tion.

The con­crete tasks include, among other things:
  • Build­ing of record­ing and reten­tion plat­forms con­nec­ted to real (mobile and fixed) trans­mis­sion net­works
  • Imple­ment­a­tion and fur­ther devel­op­ment of a mobile plat­form for user data col­lec­tion
  • Ana­lysis of speech sig­nals
  • Estim­a­tion of qual­ity aspects using dif­fer­ent algorithms
  • Imple­ment­a­tion of data col­lec­tions and assess­ments in the crowd and in the labor­at­ory
  • Pro­ject com­mu­nic­a­tion and report­ing
  • Pub­lic­a­tion and present­a­tion of pro­ject and research res­ults in sci­entific journ­als, at con­fer­ences, and in work­shops

Require­ments:

  • Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in elec­trical engin­eer­ing, com­puter engin­eer­ing/sci­ence, inform­at­ics, media inform­at­ics, inform­a­tion sys­tems (or an equi­val­ent tech­nical back­ground)
  • Pro­found know­ledge in digital sig­nal pro­cessing, bene­fi­cial: speech sig­nal pro­cessing respect­ively audio sig­nal pro­cessing
  • Good pro­gram­ming skills (eg. Mat­Lab or Python) and safe hand­ling of devel­op­ment tools (eg. Android Stu­dio, HTML5/CSS3, JS, jQuery, JSON, REST­ful API, ideally backend devel­op­ment skills)
  • Interest in run­ning user stud­ies with test sub­jects to determ­in­ate speech qual­ity
  • Lan­guage skills: Eng­lish and Ger­man flu­ent in writ­ing and speak­ing
  • Know­ledge about empir­ical stud­ies and stat­ist­ical data ana­lysis is appre­ci­ated
  • Joy of work­ing in an inter­dis­cip­lin­ary and inter­na­tional envir­on­ment

How to ap­ply:

Please send your app­lic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments (in par­tic­u­lar let­ter of app­lic­a­tion, cur­ricu­lum vitae, cop­ies of cer­ti­fic­ates, job ref­er­ences) pre­fer­ably by e-mail (com­bined in one pdf-file) to sebastian.moeller@tu-berlin.de or in writ­ing 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.

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.