PhD position: Neuro-Symbolic Models, Saarland University, Germany
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(Computer Science, Computational Linguistics or similar)
We are looking for an excellent candidate who is interested
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exploring the limits for neural networks on symbolic tasks and/or
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integrating symbolic knowledge into neural networks.
Ideal candidate for the position would have:
1. A good understanding of natural language processing
2. Excellent knowledge of machine learning
3. Excellent programming skills
4. Masters degree in Computer Science, Computational Linguistics or similar
Salary: The PhD position will be 75% of full time on the German E13 scale (TV-L) which is about 3055€ per month before tax and social security contributions. The appointments will be for three years with a possible extension. Starting day will be spring 2023.
About the department: The department of Language Science and Technology t Saarland University is one of the leading departments in the speech and language area in Europe. The flagship project at the moment is the CRC on Information Density and Linguistic Encoding. It also runs a significant number of European and nationally funded projects. In total, it has seven faculty and around 50 postdoctoral researchers and PhD students. The department is part of the Saarland Informatics Campus. With 900 researchers, two Max Planck institutes, CISPA, and the German Research Center for Artificial Intelligence, it is one of the leading locations for Informatics in Germany and Europe.
How to apply: Please send us a letter of motivation, a one page research proposal, your CV, your transcripts, if available a list of publications, and the names and contact information of at least two references, as a single PDF or a link to a PDF if the file size is more than 3 MB.
Please apply latest by November 15th, 2022. Earlier applications are welcome and will be processed as they come in.
Contact: Applications and any further inquiries regarding the project should be directed to dietrich.klakow@lsv.uni-saarland.de
At the Signals and Interactive Systems Lab (University of Trento, Italy) we are looking for highly motivated and talented graduate students to join our research team and work on Conversational Artificial Intelligence.
Conversational Artificial Intelligence includes the following research areas:
- Natural Language Processing - Conversational Modeling and Systems - Machine Learning - Affective Computing
The SIS Lab has been training intelligent machines and evaluating AI-based systems in the last three decades in many industry sectors from fintech to health.
The lab research team is interdisciplinary and attracts researchers from computational linguistics, psychology, applied math, biomedical and electrical engineering and computer science.
Research projects and demos can be found at the lab website : http://sisl.disi.unitn.it .
The candidates should have strong background, past achievement records in the areas of Conversational Research and/or Engineering.
The official language (research and graduate teaching) of the department is English.
AVAILABLE POSITIONS
• Six months funded research fellowships: approximately 1600 Euro/month gross amount . • Three-year funded Phd fellowships: approximately 1600 Euro/month gross amount .
For more information about cost of living in the area please visit the website :https://iecs.unitn.it/prospective-student
DEADLINES
Openings with start date as early as March 2023. Positions open until filled.
REQUIREMENTS
MANDATORY ( for both positions ) - Master degree in Computer Science, Electrical Engineering, Computational Linguistics, Machine Learning or similar or related disciplines. - Excellent academic records - Excellent programming skills - Excellent command of oral and written English - Good knowledge of most of the following: experimental design methodology and statistics, natural language processing , machine learning methods - Excellent team-work skills
HOW TO APPLY
Interested applicants should mention the position they are applying and send their CV to:
Email: sisl-jobs@disi.unitn.it For more info:
The Signals and Interactive Systems Lab: http://sisl.disi.unitn.it The PhD School: https://iecs.unitn.it The Department Information Engineering and Computer Science Department @ University of Trento: www.disi.unitn.it
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Dietrich Klakow -
Giuseppe Riccardi