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1-3 Doctoral candidates/Postdoctoral Researchers (fixed-term)

8 days ago | Closing on May 22
THIS JOB HAS EXPIRED
University of Turku
1-3 Doctoral candidates/Postdoctoral Researchers (fixed-term)
University of Turku
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JOB DETAILS
Published: 8 days ago
Application deadline: May 22
Location: Turku, Finland
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1-3 Doctoral candidates/Postdoctoral Researchers (fixed-term)

The University of Turku is a world-class multidisciplinary research university which offers interesting challenges and a unique vantage point to national and international research and education.

The TurkuNLP research group at the Department of Future Technologies, University of Turku is looking for

1-3 Doctoral Candidates and/or Postdoctoral Researchers (fixed-term)

The Language- and Speech Technology unit of the Department of Future Technologies is looking for part- or full-time Doctoral Candidate(s) and/or Postdoctoral Researcher(s) for a fixed-term position on a research project dealing with news generation from structured sources. The positions will end 31.12.2019 or upon mutual agreement earlier. The positions start on 1.6.2018 at the earliest, or upon mutual agreement.

The project is carried out in collaboration between the TurkuNLP research group and the news agency STT. The project is funded by Google Digital News Initiative Innovation Fund.

The objectives of the project relate to the application of natural language processing, especially deep learning methods, to language generation. A specific goal is to generate language without reliance on template-filling systems.

The qualification requirements of the positions are stated in the University of Turku Rules of Procedure. A person selected for the post of doctoral candidate is required to have a higher university degree and must have an accepted research plan. In addition, when acquiring his or her degree or otherwise, he or she is required to have demonstrated the ability and motivation to undertake postgraduate studies and the capacity to complete a doctoral degree in accordance with the research plan.

A person selected for the post of postdoctoral researcher is required to have a doctoral degree and the ability to do independent scientific work as well as having the necessary teaching skills.

We further expect a very good knowledge of deep learning as applied to textual data, as well as prior experience with Keras + Theano/Tensorflow, PyTorch, or other popular Python deep learning libraries. The coding environment is restricted to Python in order to assure ease of collaboration with other researchers in the group. Prior experience with natural language processing specifically in the news domain is seen as an advantage. Especially for postdoctoral researchers we expect a strong publication record in natural language processing and deep learning. There are many international researchers in the TurkuNLP group, therefore an excellent command of English is required.

A six month trial period applies to positions longer than one year. For positions shorter in duration, the trial period is maximum 50 percent of the duration of the employment contract.

The salary is determined in accordance with the university salary system for teaching and research personnel. For Doctoral candidates the salary will be on levels 2-4 on the job demands chart, where the task specific salary component is 2 005,71 – 2 500,06 euros per month. For Postdoctoral researchers the salary will be on levels 4-6 on the job demands chart, where the task specific salary component is 2 500,06 – 3 374,18 euros per month. In addition, a personal work performance component (a maximum of 46,3% of the task specific salary component) will be paid.

Further information is given by assistant professor Filip Ginter, figint@utu.fi

The applications shall be submitted at the latest on May 22, 2018 at 23:59 using the university electronic recruitment system on the following address:

http://www.utu.fi/en/university/come-work-with-us/open-vacancies/Pages/home.aspx

The link is also given at the top of this document.

The applicants should submit a short cover letter clearly stating prior experience and achievements specifically relevant to the project, as well as their CV, list of publications, and other documents which they consider as being able to affect the outcome of the position filling process

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