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

Research Associate (PostDoc) - salary grade 14 TV-L Berliner Hochschulen

part-time employment may be possible
The Chair of "Machine Learning and Security" conducts research on the intersection of security and artificial intelligence (Al). It develops novel approaches for protecting learning systems and defending against attacks and malicious software. The chair is part of the BIFOLD Al competence center in Berlin.
We are looking for a research associate to take on a leading role in the ERC-funded research project MALFOY. The project explores the connection between offensive security and machine learning, with the goal of developing both novel attacks and effective defense strategies. This position is intended to bridge these challenging areas and enable independent, high-quality research.

Your responsibility:

Research on machine learning and offensive security
Development of attacks with/against learning algorithms
Development of new defense mechanisms
Management tasks within the project MALFOY
Independent and self-driven research

Your profile:

Successfully completed university degree (Master, Diploma or equivalent) and doctoral degree in Computer Science or in a related area.
Strong expertise in machine learning and/or computer security.
Publications in leading conferences/journals (A*/A)
Experience in the coordination of research projects
A good knowledge of German and/or English is required and a willingness to acquire any missing language skills
Experience in coordinating research projects

Research Environment

Exciting and challenging research work
Collaborative and positive academic environment
Renowned and dedicated team
International research network

How to apply:

Please send your application with the reference number and the usual documents (one file max. 5
MB) only via email to hashmi@tu-berlin.de .

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ .

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. Applications from people of all nationalities and with a migration background are very welcome.

Gehalts-Prognose

Unternehmens-Details

Technische Universität Berlin

Fach- und Hochschulen

5.001-10.000 Mitarbeitende

Berlin, Deutschland

Bewertung von Mitarbeitenden

Gesamtbewertung

3.4

Basierend auf 208 Bewertungen

Vorteile für Mitarbeitende

Flexible Arbeitszeiten

Home-Office

Kantine

Restaurant-Tickets

Kinderbetreuung

Betriebliche Altersvorsorge

Barrierefreiheit

Gesundheitsmaßnahmen

Betriebsarzt

Training

Parkplatz

Günstige Anbindung

Vorteile für Mitarbeitende

Firmenwagen

Smartphone

Gewinnbeteiligung

Veranstaltungen

Privat das Internet nutzen

Hunde willkommen

Unternehmenskultur

208 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Technische Universität Berlin als ausgeglichen zwischen traditionell und modern.Der Branchen-Durchschnitt geht übrigens in Richtung modern

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Research Associate (PostDoc) - salary grade 14 TV-L Berliner Hochschulen