Wissenschaftliche/r Mitarbeiter/in (m/w/d)

at  Technischen Universitt Chemnitz

Die Technische Universität Chemnitz hat sich als innovative Wissenschafts- und Bildungseinrichtung etabliert, die sich den Herausforderungen im Wettbewerb zwischen den Hochschulen bewusst stellt. Sie bietet Persönlichkeiten mit ausgewiesener fachlicher Kompetenz, die konstruktiv an der innovativen Weiterentwicklung mitwirken möchten, attraktive Arbeitsplätze.
Zum nächstmöglichen Zeitpunkt ist am Zentrum für Mensch und Technik (MeTech), im Rahmen des DFG-geförderten Forschungsprojektes „Systeme, Algorithmen und kognitive Modelle zur Vorhersage individueller menschlicher Schlussfolgerungen (PREDIR)“, eine Stelle als
Wissenschaftliche/r Mitarbeiter/in (m/w/d)

OPEN POSITION

Chemnitz University of Technology has established itself as an innovative scientific and educational institution that is aware of the challenges posed by competition between universities. It offers attractive jobs to people with proven expertise who want to play a constructive role in its innovative development.
The Centre for Humans and Technology (MeTech) is seeking to fill a post-doctoral position as part of the DFG-funded research project “Systems, Algorithms and Cognitive Models for Predicting Individual Human Reasoning (PREDIR)” at the earliest possible date a
Research Associate (m/w/d)

If you are interested in working in an interdisciplinary, highly motivated team and the academic examination of a topic of high practical relevance, you should fulfil the following requirements:

• Applicants are expected to have an above-average academic degree (Master, Diploma or a PhD) in one of the three areas Cognitive/Mathematical Psychology, Cognitive Science, Computer Science
• Experience and interest in the research activities of the professorship
• Basic knowledge in at least three of the following areas: Psychological experiments, cognitive modelling, reasoning and decision making, algorithm development, practical knowledge of programming languages (e.g. Python, R), statistical analysis
• A good command of the English language is mandator

• Participation in the research activities of the Professorship of Predictive Analytics with an emphasis on the areas human deductive reasoning, cognitive modelling, psychological experiments, and knowledge representation
• Focus on analysing and evaluating psychological theories about deductive and inductive reasoning and developing cognitive models
  You will use your research results for scientific publications and your own qualification. The position allows for further scientific qualifications (in Psychology, Cognitive Science or Computer Science)

If you are interested in working in an interdisciplinary, highly motivated team and the academic examination of a topic of high practical relevance, you should fulfil the following requirements:

• Applicants are expected to have an above-average academic degree (Master, Diploma or a PhD) in one of the three areas Cognitive/Mathematical Psychology, Cognitive Science, Computer Science
• Experience and interest in the research activities of the professorship
• Basic knowledge in at least three of the following areas: Psychological experiments, cognitive modelling, reasoning and decision making, algorithm development, practical knowledge of programming languages (e.g. Python, R), statistical analysis
• A good command of the English language is mandatory

You must also fulfil the recruitment requirements in accordance with § 73 SächsHSG.
Please refrain from sending original documents, as your written documents will not be returned but will be destroyed in accordance with data protection regulations. If you would like your documents to be returned, please enclose a stamped, addressed envelope with your application.
Applications should be sent electronically (preferred) or by post to the address below by 28 June 2024, quoting the keyword »MeTech | PREDIR«s, together with the usual documents. Please note that, for security reasons, no electronic applications or attachments to applications can be considered in the recruitment process if they are made available for download via hyperlinks to third parties.