Data Science: 2 PhD Research Fellowships 2499 views

The University of Oslo (UiO) is building up a research community in Data Science. There are 3 PhD positions available at the Department of Informatics.  The Doctoral students will be part of this new initiative, producing top research at the crossroad between statistics, machine learning, and logic & computer science, with a specific focus on innovative uses of big data. Data science is an interdisciplinary field, exposure to methods and practice of both computer science and statistics is highly desirable

Duration: Every PhD student is employed at UiO for 4 years, with 25 % of the time dedicated to innovation related activities.

Qualifications:

• Candidate should hold or be about to complete a Master’s degree in statistics, mathematics, computer science or a related quantitative subject.
• Applicant must prove competence in at least one modern programming language such as C++, python, matlab or R.
• Applicant must have strong background in at least Databases, automated reasoning, model checking.
• Applicants are expected to be in the upper segment with respect to academic credentials.
• Applicant must be proficient in English language (written and spoken). Norwegian proficiency is not required, as all PhD training at UiO can be taken in English.
• Applicants must have completed their Master’s degree until 30th of June, 2016.

Salary:

• Position code 1017
• Allowance: NOK 432 700 – 489 300/year, (pay grade 50 – 57) depending on qualifications and seniority.

Applications:

The application must include:

• Application letter motivating interest in data science, explaining why you are suitable to the position and demonstrating a preference for one of the two projects (1-2 pages)
• Resume (describing education, positions and academic work, scientific publications).
• Evidence of English proficiency.
• Grade transcript
• Copies of educational certificates,
• Letters of Recommendation
• List of publications and academic work (if any)
• 2-3 references with names and contact details, relation to candidate, e-mail and telephone number

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