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Jheronimus Academy of Data Science (JADS) is offering a
PhD position Personalized AI for Dutch text analytics - closed
Automated information extraction of human linguistic data using NLP and AI can have an enormous impact on business processes and efficient decision making. Two examples are systems that do sentiment detection based on user feedback and systems that assign support tickets to different teams.
A common limitation of such systems is that they do not account for individual differences in the input: they assume that all the language data they receive is produced by a single monolithic customer. In this project, we try to improve the performance on some common AI/NLP tasks in two ways: by devising new multi-stage learning models that take individual differences into account and by augmenting models with person-specific data, such as demographic and non-linguistic behavioural data. The augmented models will be used to enhance text analytics tasks and to predict Net Promotor and Customer Effort Scores.
At the core of the augmented models are deep learning methods such as BERT and ULMfit. These have proven to be successful on English NLP tasks. The challenge will be to achieve similar successes on Dutch NLP tasks. The approach followed will rely on transfer learning to exploit the universal principles of language as acquired through training on English corpora and reduce the data-hungriness by fine-tuning the model to Dutch.
The research will be conducted under supervision of prof. M.M. Louwerse, promotor and dr. E.A. Keuleers, co-promotor.
The successful candidate is expected to:
- Perform scientific research in the domain described;
- Present results at (international) conferences;
- Publish results in scientific journals;
- Participate in activities of the group, mainly in 's-Hertogenbosch but sometimes at KPN the commercial partner.
- The PhD student will regularly come to the KPN office in Amsterdam (1 or 2 days a week) in order to increase knowledge transfer in both ways and foster collaboration with our researchers.
- Have a MSc. in Mathematics, Statistics, Computer Science, Econometrics, AI or a related discipline;
- Have a strong interest in Artificial Intelligence;
- Have excellent analytical skills is highly motivated and rigorous;
- Have good technical understanding of models used in data engineering/science;
- Have knowledge of, or a willingness to familiarize themselves with, current research into new and innovative data science techniques;
- Be a fast learner, autonomous and creative, show dedication and be hard working;
- Possess good communication skills and be an efficient team worker;
- Be fluent in English, both spoken and written.
Appointment and salary
The PhD student will be employed at Tilburg University.
- A full-time position.
- The selected candidate will start with a contract for one year, concluded by an evaluation after approximately 10 months. Upon a positive outcome of the first-year evaluation, the candidate will be offered an employment contract for the remaining three years.
- A minimum gross salary of € 2.325,- per month up to a maximum of € 2.972,-., in the fourth year;
- A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually);
- Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf;
- Assistance in finding accommodation (for foreign employees);
- The opportunity to perform cutting edge research in a large-scale joint data science project involving TiU, TU/e, JADS and a commercial partner and bringing together expertise of several senior researchers;
- Support for your personal development and career planning including participation in courses, summer schools, conference visits, research visits to other institutes (both academic and industrial), etc.;
- A broad package of fringe benefits (including excellent technical infrastructure, savings schemes and excellent sport facilities).
The Jheronimus Academy of Data Science (JADS) constitutes a unique concept in which an integrated approach to Data Science is created by combining the exact sciences of the Eindhoven University of Technology, with the social sciences of Tilburg University. JADS boasts three campuses at Tilburg, Eindhoven and Den Bosch. JADS Campus iDen Bosch revolves around research, education and valorisation on data entrepreneurship.
Information and application
This vacancy is closed