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Freie Uni­ver­si­tät Ber­lin - Fachbereich Math­em­atik und Inform­atik - Insti­tut für Inform­atik - Arti­fi­cial Intel­li­gence and Machine Learn­ing Group

Our research lies in the areas of Arti­fi­cial Intel­li­gence (AI) and Machine Learn­ing (ML). Our goal is to design intel­li­gent algorithms that learn from data con­tinu­ously fol­low­ing the cumu­lat­ive nature of human learn­ing, while ensur­ing that what has been learned is not only cor­rect but also deliv­ers pos­it­ive social impact in accord­ance with eth­ical and legal require­ments. Our cur­rent focus areas are: con­tinual learn­ing, respons­ible AI and cre­at­ive AI. This announce­ment is pub­lished sub­ject to the final approval by the FMER. The pro­ject will start on Dec. 1st, 2021.

Rese­arch Assist­ant (Prae­doc) (m/f/d)

full-time job
lim­ited to 30.11.2025
Ent­gelt­gruppe 13 TV-L FU
Ref­er­ence code: ENKIS-WH-wiMi1

Working field:

Research and devel­op­ment of edu­ca­tional mater­ial for AI/ML teach­ing at FUB, focus­ing on AI respons­ib­il­ity aspects. The mater­ial includes lec­ture slides, notes, videos, tutori­als, exer­cises, case stud­ies, etc. The goal is to pre­pare our stu­dents/future AI tech­no­logy cre­at­ors with a deep under­stand­ing of tech­no­logy and how to mit­ig­ate unin­ten­ded con­sequences. Within the frame­work of the extern­ally fun­ded research pro­ject, the oppor­tun­ity for writ­ing a doc­toral-thesis is gran­ted.


Applic­ants should hold an MSc or Dip­loma in Com­puter Sci­ence with a focus on Arti­fi­cial Intel­li­gence/ Machine Learn­ing/ Data Sci­ence.


  • Sound under­stand­ing of Machine Learn­ing and Arti­fi­cial Intel­li­gence;
  • very good know­ledge of AI frame­works (Tensor­flow, pyt­orch, Keras, …);
  • excel­lent pro­gram­ming skills (Python, Java, …);
  • teach­ing exper­i­ence (e.g., as teach­ing assist­ant) and warm interest in teach­ing and didactics of AI;
  • under­stand­ing and warm interest in AI respons­ib­il­ity aspects (bias and fair­ness, explain­ab­il­ity,…);
  • excel­lent writ­ten and verbal com­mu­nic­a­tion skills;
  • crit­ical think­ing and inde­pend­ent work;
  • will­ing­ness to learn, appre­ci­ation for team work;
  • pro­fes­sional and social com­mit­ment.

How to apply:

Applic­a­tions should be sent by e-mail, together with sig­ni­fic­ant doc­u­ments, indic­at­ing the ref­er­ence code, in PDF format (prefer­ably as one doc­u­ment) no later than Decem­ber 13th, 2021 to Prof. Dr. Eirini Ntoutsi: or postal to:

Freie Uni­versität Ber­lin
Fachbereich Math­em­atik und Inform­atik
Insti­tut für Inform­atik
AG Künst­liche Intel­li­genz und Maschinelles Lernen
Mrs. Prof. Dr. Eirini Ntoutsi
Arn­im­al­lee 7
14195 Ber­lin (Dah­lem)

With an elec­tronic applic­a­tion, you acknow­ledge that FU Ber­lin saves and pro­cesses your data. FU Ber­lin can­not guar­an­tee the secur­ity of your per­sonal data if you send your applic­a­tion over an unen­cryp­ted con­nec­tion.

Freie Uni­versität Ber­lin is an equal oppor­tun­ity employer.