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Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty V - Insti­tute of Machine Tools and Fact­ory Man­age­ment / Chair of Assembly and Hand­ling Tech­no­logy

Research assist­ant - salary grade E13 TV-L Ber­liner Hoch­schu­len

part-time employ­ment may be pos­sible

Work­ing field:

As a research assist­ant at the Chair of Hand­ling and Assembly Tech­no­logy, you stand for a value stream ana­lysis in man­u­fac­tur­ing. The focus of the chair is resource plan­ning, flex­ible assembly auto­ma­tion and the pro­cess-ori­ented devel­op­ment and estab­lish­ment of tech­no­lo­gical an organ­isa­tional improve­ment.
The team is cur­rently look­ing for sup­port in the area of data ana­lysis in a research pro­ject with sev­eral indus­trial and research part­ners. The pro­ject deals with used products which are returned and need to be iden­ti­fied and eval­u­ated. The aim is to sup­port employ­ees with digital assist­ance sys­tems in real time. The sys­tem should ana­lyse avail­able data to provide decision sup­port and to reduce error rates and lead times.
You will be respons­ible for the achieve­ment of sci­entific goals and the organ­isa­tion of the pro­ject. There­fore, you com­mu­nic­ate with pro­ject part­ners and spon­sors, define deliv­er­ables and work to achieve them.
From a man­u­fac­tur­ing engin­eer­ing per­spect­ive, you develop a concept for bet­ter product iden­ti­fic­a­tion by a worker based on avail­able sys­tem inform­a­tion. You imple­ment and test this concept at some work­sta­tions of the indus­trial part­ners. With your exper­i­ence in the area of human-sys­tem inter­faces, you will con­trib­ute to design a user-friendly and eas­ily con­fig­ur­able sys­tem. You will rep­res­ent the pro­ject and the chair region­ally and inter­na­tion­ally in order to dis­sem­in­ate the pro­ject res­ults. As a valu­able mem­ber you will act­ively lead to the fur­ther devel­op­ment of the chair based on your per­son­al­ity, know-how and exper­i­ence.

Require­ments:

  • suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­loma or equi­val­ent) in pro­duc­tion tech­no­logy or mech­an­ical engin­eer­ing with pro­duc­tion-related focus
  • know­ledge in arti­fi­cial intel­li­gence (AI), machine learn­ing or a related field
  • exper­i­ences in design­ing assist­ance for pre­defined and com­plex tasks that can be adjus­ted to the users know­ledge and exper­i­ence
  • exper­i­ence in pro­to­typ­ical imple­ment­a­tion and super­vi­sion of exper­i­mental test-beds
  • know­ledge in sus­tain­able man­u­fac­tur­ing, espe­cially reverse logist­ics are desired
Fur­ther Require­ments:
  • will­ing to intensely par­ti­cip­ate in fur­ther devel­op­ment of the research area at the depart­ment
  • pro­act­ive learner and maker men­tal­ity com­bined with design think­ing skills
  • high level of abil­ity for self-organ­iz­a­tion and tak­ing respons­ib­il­ity
  • motiv­ated approach to work
  • high abil­ity to com­mu­nic­ate and work in teams
  • good Ger­man and Eng­lish lan­guage skills
  • adequate sci­entific lan­guage and strong present­a­tion skills

How to ap­ply:

Please send your writ­ten applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments to Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fakultät V, Institut für Werkzeugmaschinen und Fabrikbetrieb, FG Handhabungs- und Montagetechnik, Prof. Dr. Dietrich, Sekr. PTZ 2, Pascalstraße 8-9, 10587 Berlin or by e-mail to sabine.lange@tu-berlin.de.

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.