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Max Planck Insti­tute for Human Deve­lop­ment - Cen­ter for Humans & Machi­nes

The Cen­ter for Humans & Machi­nes con­ducts inter­di­sci­pli­nary sci­ence, to under­stand, anti­ci­pate, and shape major dis­rup­ti­ons from digi­tal media and Arti­fi­cial Intel­li­gence to the way we think, learn, work, play, coope­rate and gov­ern.

Stu­dent Research Assist­ant | Human-AI Inter­ac­tion – Devel­op­ment of Online Exper­i­ments on Human-AI Inter­ac­tion

English

To com­ple­ment this team, we are look­ing for a motiv­ated Stu­dent Research Assist­ant that helps us to under­stand bet­ter how AI can influ­ence human beha­vior.

Working field:

The Cen­ter for Humans & Machines (CHM) con­ducts inter­dis­cip­lin­ary sci­ence to under­stand, anti­cip­ate, and shape major dis­rup­tions from digital media and Arti­fi­cial Intel­li­gence to the way we think, learn, work, play, cooper­ate and gov­ern. Our goal is to under­stand how machines are shap­ing human soci­ety today and how they may con­tinue to shape it in the future. The Cen­ter is com­prised of an inter­dis­cip­lin­ary, inter­na­tional and diverse group of schol­ars, and a sci­ence sup­port team.

To com­ple­ment this team, we are look­ing for a motiv­ated Stu­dent Research Assist­ant that helps us to under­stand bet­ter how humans inter­act with AI. We are plan­ning the devel­op­ment of an online frame­work that allows us the run con­trolled exper­i­ments on ques­tions regard­ing human-AI inter­ac­tions in game-like envir­on­ments. In par­tic­u­lar we plan to invest­ig­ate sen­ti­ments towards algorithmic man­age­ment and the abil­ity to learn from machines. In a team of researcher, research assist­ants and freel­an­cer you will develop backend and fron­tend applic­a­tions, that integ­rate game ele­ments and machine learn­ing meth­ods. Depend­ing on your per­sonal interest and skills, the work could also involve exper­i­mental design, stat­ist­ical ana­lysis, and machine learn­ing.

Requirements:

Your respons­ib­il­it­ies
  • Devel­op­ment of a python backend that integ­rates machine learn­ing meth­ods (Python)
  • Devel­op­ment of a web-based game inter­face (JavaS­cript / React)
  • Execute exper­i­ments using online par­ti­cipants pools (Pro­lific)
  • Pro­cess and ana­lyze game-based beha­vi­oral data

Your pro­file
  • Enrolled in a Mas­ter's pro­gram at a Ger­man uni­versity
  • Exper­i­ence in pro­gram­ming in Python and JavaS­cript
  • First-hand exper­i­ence in Web devel­op­ment (JS, HTML, CSS, HTTP)
  • Exper­i­ence with stat­ist­ical meth­ods, data visu­al­iz­a­tion or machine learn­ing is a plus
  • Know­ledge of human exper­i­ment meth­od­o­lo­gies is a plus
  • Interest in beha­vior stud­ies on human-AI inter­ac­tion­sciences, com­puter sci­ence, or related at a Ger­man uni­versity

What we offer:

  • Close col­lab­or­a­tion with the CHM team
  • Com­pre­hens­ive onboard­ing and time to learn new skills in an agile envir­on­ment
  • Per­sonal super­vi­sion by research­ers in the lab
  • Involve­ment in sci­entific work related to arti­fi­cial intel­li­gence and eth­ics, and human-machine inter­ac­tion
  • Room to con­trib­ute and real­ize your own ideas
  • The pos­i­tion is lim­ited to 6 months with the pos­sib­il­ity of exten­sion
  • Salary: 13,95€ / hour

Our Offer
The Max Planck Soci­ety strives for gender and diversity equal­ity. We wel­come applic­a­tions from all back­grounds.

The Max Planck Soci­ety is com­mit­ted to increas­ing the num­ber of indi­vidu­als with dis­ab­il­it­ies in its work­force and there­fore encour­ages applic­a­tions from such qual­i­fied indi­vidu­als.

How to apply:

Please apply, includ­ing a motiv­a­tion let­ter and CV without a photo, by August 15th, 2022 via https://career-chm.mpib-berlin.mpg.de/jobs/1895746-student-assistant-development-of-online-experiments-on-human-ai-interaction

The data pro­tec­tion declar­a­tion for the pro­cessing of per­sonal data within the scope of your applic­a­tion can be found here:
https://www.mpib-berlin.mpg.de/860946/en_infos_bewerbung.pdf