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PhD position (f/m/d) in machine learning
Universitetet i Bergen
PhD position in machine learning
PhD position in machine learning
There is a vacancy for a PhD position in machine learning at the Department of Informatics. The position is for a fixed-term period of 3 years with the possibility of a
4th year. A PhD degree in computer science is highly requested by corporate organizations and academia
The Department of informatics has seven research groups that deliver research and education at a high international level in algorithms, bioinformatics, information security,
machine learning, optimization, programming theory, and visualization. All the groups are successfully co-funded by research grants, among others by the European Research
Council (ERC). The department offers state of art education at Bachelor, Master and PhD levels.
About the project/work tasks:
All employees are expected to contribute to excellence through high quality research and teaching. The successful candidate will work towards receiving a PhD degree in machine learning within the end of the employment period. The thesis topic will be in the areas of topological data analysis, probabilistic graphical models or Bayesian inference. A person hired for four years will in addition contribute 25% of their time contributing to teaching, outreach and recruitment.
Qualifications and personal qualities:
Applicants must hold a master's degree or the equivalent in computer science, informatics, mathematics or a related field. Master students can apply provided they complete their final master exam before 31.07.2019. It is a condition of employment that the master's degree has been awarded.
A strong mathematical background is an advantage.
Experience in machine learning is an advantage.
Teaching experience, for example as a teaching assistant, is an advantage.
Applicants must be able to work independently and in a structured manner, and demonstrate good collaborative skills.
Applicants must be proficient in both written and oral English.
A good command of the Norwegian language is an advantage.
Personal and relational qualities will be emphasized. Ambitions and potential will also count when evaluating the candidates.
About the PhD position:
The fellowship will be for a period of 3 years, with the possibility for a 4th year, consisting of 25 % compulsory work (e.g. teaching responsibilities at the department) distributed across the employment period. The 4th year is contingent on the qualifications of the candidate and the teaching needs of the department, and will be decided upon appointment.
The employment period may be reduced if you have previously been employed in a qualifying post (e.g. research fellow, research assistant).
About the research training
As a PhD candidate, you must participate in an approved educational programme for a PhD degree within a period of 3 years. A final plan for the implementation of the research training must be approved by the faculty within three months after you have commenced in the position. It is a condition that you satisfy the enrolment requirements for the PhD programme at the University of Bergen.
We can offer:
Exciting development opportunities as part of your role in a strong professional environment
Salary at pay grade 51 (Code 1017/Pay range 20, alternative 9) in the state salary scale. This currently amounts to an annual salary of NOK 449 400 before taxes.Further promotions are made according to qualifications and length of service in the position.
Enrolment in the Norwegian Public Service Pension Fund
The state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. Age and gender balance among employees is therefore a goal. It is also a goal to recruit people with immigrant backgrounds. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.
We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply.
The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.
Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.
The successful applicant must comply with the guidelines that apply to the position at all times.
For further information about the recruitment process, click here.