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A leading university in Germany seeks a full-time PhD researcher to contribute to research in Artificial Intelligence and Formal Methods. Ideal candidates hold a Master's degree in Computer Science or similar, with strong communication skills in English. Responsibilities include conducting research, collaborating with top institutions, and supporting teaching activities. The position offers opportunities in an international environment with a focus on innovative AI solutions and robust interdisciplinary approaches.
Faculty of Computer Science:
Chair of Artificial Intelligence & Formal Methods
The chair of Artificial Intelligence and Formal Methods at the Ruhr-University Bochum in Germany (headed by Prof. Dr. Nils Jansen) has a mission: Increasing the trustworthiness of Artificial Intelligence (AI). We conduct broad foundational and application-driven research on neurosymbolic AI. The following goals are central to our efforts: 1. Increase the dependability of AI in safety-critical environments. 2. Render AI models robust against uncertain knowledge about their environment. 3. Enhance the capabilities of formal verification to handle real-world problems using learning techniques. We are interested in various aspects of dependability and safety in AI, intelligent decision-making under uncertainty, and safe reinforcement Learning. A key aspect of our research is a thorough understanding of the (epistemic or aleatoric) uncertainty that may occur when AI systems operate in the real world. We publish regularly in the top venues and journals of Artificial Intelligence (AAAI, IJCAI, ICLR, NeurIPS, JAIR), Formal Methods (CAV, TACAS), and Control Theory (Transactions on Automatic Control). You can find our latest results at https://ai-fm.org/publications/.
The research of this position aims broadly at the intersection of formal verification and machine learning. In particular, the aim is to address major challenges in ensuring the safety of reinforcement learning methods: Complex environments with large degrees of freedom and high-dimensional feature spaces, realistic, continuous spaces, and the inherent uncertainty that reinforcement learning agents face in the real world. The project proposes interdisciplinary approaches from the intersection of Machine Learning, Artificial Intelligence, Formal Methods, Robotics, and Control Theory. Many variations or further topics within the group's broad research scheme are possible.
Scope: full-time
Duration: fixed-term, 3 years
Start: starting on the earliest date possible
Apply by: 2026-01-05
The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L. Further information can be found at https://oeffentlicher-dienst.info/ (in German). The place of work is Ruhr University Bochum. The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia).
Please send your complete application documents (recent CV, a cover letter describing your motivation and suitability for the position, and a transcript of your academic records) in the form of A SINGLE PDF document (max. 10 MB). RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees. German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de.
For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.
We look forward to receiving your application via our online application portal by 2026-01-05. Please make sure to mention the reference number ANR 5177.
RUHR-UNIVERSITÄT BOCHUM
44801 Bochum
Universitätsstraße 150
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.