The University of Agder in Norway invites applications for a PhD Research Fellow in ICT – Tsetlin machines and reinforcement learning in 2021.
The PhD Research Fellow will be associated with Centre for Artificial Intelligence Research (CAIR) at the University of Agder, and will work closely with the Artificial Intelligence Department at the University of Groningen, NL.
The primary objective of the AIEverywhere project is to architect a new Tsetlin machine HW/SW ecosystem with unprecedented scalability and on-chip learning capability, for enabling powerful logic-based ML applications everywhere (i.e. at the edge and in the cloud).
The Research Fellow will perform research on next-generation machine learning methods, building upon recent advances in Tsetlin machines. Tsetlin machines are the next frontier in interpretable energy-efficient machine learning, and the Fellow will have the opportunity to develop novel Tsetlin-machine-based approaches for enhancing the interpretability and efficiency of reinforcement learning. Key challenges include (1) developing varieties of Tsetlin machines for different kinds of reinforcement learning, (2) establishing the theoretical foundation for Tsetlin machine-based reinforcement learning, (3) applications of the developed techniques in large-scale reinforcement learning tasks, such as learning to play the board game Go. The overarching goal is to develop a new kind of reinforcement learning approach that is rooted in highly efficient and interpretable propositional logic, based on Tsetlin machines.
- Research topics for the PhD Research Fellow include, but are not limited to the following:
- Tsetlin machine and learning automata
- Tsetlin machine-based learning with Monte-Carlo tree search
- Booleanized state-space representations
- Visualization and interpretation of decisions
- Large-scale application on selected board games, such as Go
Worth of Award
- Training to publish in the top journals and conferences in the covered areas.
- Professional development in a large, exciting and socially influential organisation
- A positive, inclusive and diverse working environment
- Modern facilities and a comprehensive set of welfare offers
- Membership of the Norwegian Public Service Pension Fund
- Master’s degree in ICT, Computer Science, Electronics, or a similar/related field and documented competence in areas relevant to the position. Candidates who are in the final stage of the master’s education within the relevant field may also be considered, given that a master’s degree is to be achieved before the enrollment of this position. Applications from applicants who already hold a PhD will normally not be considered.
- Strong academic credentials
- The ideal candidate will have technical expertise in one or more of the following areas:
- Machine learning
- Reinforcement learning
- Programming in Python, CUDA and C/C++
- Written and spoken English proficiency. International candidates that are not exempt from the English language requirements pursuant to the guidelines of the Norwegian Agency for Quality Assurance in Education (NOKUT) must document this through one of the following tests with the stated results or better:
- TOEFL – Test of English as a Foreign Language with a minimum score of 600 for the Paper-based Test (PBT), or 92 for the Internet-based Test (iBT)
- IELTS – International English Language Testing System, with the result of 6.5
Applicants will be assessed on the basis of academic background and results, attainment, and any previous research and development work.
How to Apply
The application and any necessary information about education and experience (including diplomas and certificates) are to be sent electronically.
The following documentation must be uploaded electronically:
- Certificates and/or grades for all post-secondary education, up to and including the bachelor’s level;
- Master’s degree/higher degree certificate, with a summary of the courses/subjects included in the degree; For those who are in the final stage of the Master’s education but without a Master’s degree yet, the transcripts without the results of thesis can be provided; The evaluation result of the thesis can be provided later.
- Applicants with a foreign higher education must attach an official description of the grading system used at the issuing institution;
- Summary (approximately 1-2 pages) of the master’s thesis;
- Applicants who are required to document their English proficiency must submit their TOEFL or IELTS test results (these may be forwarded after the closing date);
- Summary or links to the applicant’s scientific publications (if any);
- A description of the candidate’s research interests and background for the project applied for.
The applicant is fully responsible for submitting complete digital documentation before the closing date. All documentation must be available in English or in a Scandinavian language.
Deadline: Application closes November 25, 2020.