Assistant Professor at the Department of Theoretical Computer Science and Mathematical Logic specializing in the field of artificial intelligence |
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| Workplace: | Faculty of Mathematics and Physics - School of Computer Science - Department of Theoretical Computer Science and Mathematical Logic |
| Salary Tariff: | Assistant professors at universities, AP2 |
| Expertise: | Robotics, agent technologies, automated planning, knowledge representation, or machine learning. Basic background in formal methods (logic and/or statistics) and experience with applications is a plus. |
| Job Offer Code: | 202309-AP2-MFF-KTIML-017 |
| Qualification and Other Requirements: | Ph.D. degree (or equivalent) in a relevant area, fluent command of written and spoken English, research and teaching experience in a relevant field, positive attitude towards pedagogical work, ability to integrate research and teaching activities as well as supervise student theses, excellent publication record in impact journals and/or proceedings of prestigious computer science conferences, experience from foreign academic or research institutions. Experience from collaboration with the industry and some command of Czech are welcome. |
| Employment Type and Scope: | Full time employment, 40 hours per week |
| Expected Start Date: | January 01, 2024 or negotiable |
| Term contract: | 3 years |
| Informal inquiries can be sent to: | bartak@ktiml.mff.cuni.cz |
APPLICATION SUBMISSION INSTRUCTIONS |
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Please send the application and the required documents in digital form to the e-mail address positions@matfyz.cuni.cz. The job code of the position for which the application is being submitted should be indicated in the subject line. Candidates who progress to the second round of the selection procedure will be invited to an interview. The interview may be conducted by means of information and communication technology if justified, at the request of the candidate. The Committee may invite selected candidates to give a lecture to the academic community of the Faculty. | |
| Application Submission Deadline: | September 18, 2023 |
| Documents Required for the Application: |
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