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Hum­boldt-Uni­ver­si­tät zu Ber­lin - Exzel­lenz­clus­ter Mat­ters of Activity

The Cluster »Mat­ters of Activ­ity. Image Space Mater­ial« aims to cre­ate a basis for a new cul­ture of mater­i­als. The cent­ral vis­ion of the Cluster is to redis­cover the ana­log in the activ­ity of images, spaces and mater­i­als in the age of the digital. Bio­logy and tech­no­logy, mind and mater­ial, nature and cul­ture inter­twine in a new way. In this con­text, the inter­dis­cip­lin­ary research and devel­op­ment of sus­tain­able prac­tices and struc­tures is a cent­ral con­cern in areas such as archi­tec­ture and soft robot­ics, tex­tiles, mater­i­als and digital fil­ters, and sur­gical cut­ting tech­niques.

In six pro­jects, more than 40 dis­cip­lines sys­tem­at­ic­ally invest­ig­ate design strategies for act­ive mater­i­als and struc­tures that adapt to spe­cific require­ments and envir­on­ments. The Cluster focuses on a new role of design, which is emer­ging in the con­text of grow­ing diversity and the con­tinu­ous devel­op­ment of mater­i­als and visu­al­iz­a­tion forms in all dis­cip­lines.

Stu­dent Assist­ant in the Pro­ject »Fil­ter­ing« (m/f/d)

40h per Month, Lim­ited until 31/12/2022 – MoA_03_2021 – Applic­a­tion Dead­line 21 Octo­ber 2021 – Start of Employ­ment: Janu­ary 2022

Working field:

The pro­ject Fil­ter­ing, sub­pro­ject »Digital Fil­ter­ing: Co-Adapt­ive Sense­mak­ing Fil­ters« is cur­rently look­ing for a stu­dent assist­ant in the field of Com­puter Sci­ence/Media Inform­at­ics/Data Sci­ence/Math­em­at­ics or sim­ilar.

In the »Digital Fil­ter­ing« research pro­ject, novel inter­ac­tion con­cepts in the field of Inter­act­ive Machine Learn­ing for qual­it­at­ive data inter­pret­a­tion are invest­ig­ated. The research group Human-Centered Com­put­ing is in charge of the pro­ject. It rep­res­ents an inter­dis­cip­lin­ary team in the field of Col­lab­or­at­ive Com­put­ing and Human Com­puter Inter­ac­tion. The focus is on Inter­act­ive Intel­li­gent Sys­tems. We see ourselves as design­ers of par­ti­cip­at­ory and sus­tain­able tech­no­lo­gies that pro­mote human-machine col­lab­or­a­tion. Our the­ory-driven research includes both an empir­ical and an engin­eer­ing dimen­sion. Your main task will be to con­trib­ute to the design and imple­ment­a­tion of user inter­face pro­to­types and the use of machine learn­ing meth­ods.

Job descrip­tion
  • Col­lab­or­a­tion in the pro­ject »Fil­ter­ing: Digital Fil­ter­ing«
  • Sup­port in the imple­ment­a­tion of data pro­cessing pipelines with python and com­mon lib­rar­ies (e.g. scikit-learn, pan­das, NumPy)
  • Sup­port in the con­cep­tual devel­op­ment of inter­ac­tion con­cepts for the eval­u­ation and inter­pret­a­tion of the res­ults of data pro­cessing pipelines in the con­text of inter­act­ive machine learn­ing
  • Assist­ance in the imple­ment­a­tion of user inter­faces in the form of inter­act­ive soft­ware pro­to­types
  • Lit­er­at­ure research and acquis­i­tion
  • Sup­port in the pre­par­a­tion and real­iz­a­tion of events (work­shops, courses)
  • Pre­par­a­tion of teach­ing mater­i­als
  • Sup­port in the eval­u­ation of teach­ing
  • Proofread­ing of texts in Ger­man and/or Eng­lish lan­guage

Requirements:

  • Stud­ies in a field rel­ev­ant to the area of respons­ib­il­ity: Com­puter Sci­ence/Media Inform­at­ics/Data Sci­ence/Math­em­at­ics or sim­ilar

  • Know­ledge of com­mon office pro­grams

  • Good lan­guage skills in Eng­lish and Ger­man

  • Basic know­ledge in web design and web devel­op­ment (HTML5, CSS3, Javas­cript) desired

  • Basic know­ledge in the devel­op­ment of Machine Learn­ing Sys­tems with Python (e.g. Scikit-learn, Numpy, Pan­das, Tensor­flow) desired

  • Know­ledge of human-com­puter inter­ac­tion desired

  • Know­ledge of JavaS­cript frame­works, such as React, desired

  • Please note: Stu­dent assist­ant pos­i­tions can only be awar­ded to enrolled stu­dents in an under­gradu­ate degree pro­gram

How to apply:

As an inter­dis­cip­lin­ary research Cluster, we know that diversity makes us bet­ter. It is import­ant to us that our employ­ees not only reflect a broad spec­trum of social, per­sonal and cul­tural back­grounds and life exper­i­ences, but also that they can fully con­trib­ute to the work envir­on­ment in their indi­vidu­al­ity. We par­tic­u­larly wel­come applic­a­tions from women*, people with per­sonal or fam­ily migra­tion bio­graph­ies, and people with diverse skills.

Applic­a­tions quot­ing the ref­er­ence num­ber MoA_03_2021 should be sent to the fol­low­ing address by 21 Octo­ber:

Hum­boldt-Uni­versität zu Ber­lin
Exzel­len­zcluster Mat­ters of Activ­ity
Michael Tebbe
Unter den Linden 6
10999 Ber­lin
or in one PDF file to moa.applic­a­tion [at] hu-ber­lin.de.

We encour­age you to include inform­a­tion on your social situ­ation in the applic­a­tion.

To ensure equal oppor­tun­it­ies, applic­a­tions from qual­i­fied women are par­tic­u­larly wel­come. Applic­ants with severe dis­ab­il­it­ies will be given pref­er­ence if they are equally qual­i­fied.

Applic­a­tions from people with a migra­tion back­ground are expli­citly desired.

Since no doc­u­ments will be returned, we kindly ask you to refrain from hand­ing in applic­a­tion folders and to sub­mit cop­ies only.