Research Assist­ant in Machine Learn­ing TU Dresden, Insti­tute of Soft­ware Engin­eer­ing and The­or­et­ical Com­puter Sci­ence

Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tute of Soft­ware Engin­eer­ing and The­or­et­ical Com­puter Sci­ence / Machine Learn­ing


Research Assist­ant - salary grade E13 TV-L Ber­liner Hoch­schu­len - 1st qual­i­fic­a­tion period (PhD)
part-time employ­ment may be pos­sible


Work­ing field:

 

Research in the field of Machine Learn­ing, devel­op­ment of meth­ods for solu­tion of one-class Prob­lems as well as meth­ods for Inter­pret­a­tion of clas­si­fic­a­tion algorithms; super­vi­sion of Bach­elor/Mas­ter stu­dents; teach­ing at the chair


Require­ments:

 

Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ences, math­em­at­ics or phys­ics. Pro­found know­ledge of machine learn­ing, one-class SVMs, Deep Learn­ing, scal­able ML as well as applic­a­tion fields; well-foun­ded know­ledge in Mat­lab, C++, Java and Python. Con­sol­id­ated math­em­at­ical basic edu­ca­tion, in par­tic­u­lar on lin­ear algebra, the­ory of prob­ab­il­ity, stat­ist­ics and optim­iz­a­tion, teach­ing exper­i­ence desir­able.


How to ap­ply:

 

Please send your writ­ten applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments to Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Maschinelles Lernen, Prof. Dr. Müller, Sekr. MAR 4-1, Marchstr. 23, 10587 Berlin or by e-mail to sekr@ml.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.

 

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


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