PhD student in Statistics or Computer Science

Updated: about 2 months ago
Deadline:

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe.

Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming.
Read more at https://liu.se/en/organisation/liu/ida

LINKÖPING UNIVERSITY
Hereby advertises a position as
PhD student in Statistics or Computer Science
formally based at the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science (IDA).

Duties
As a PhD student you will primarily devote yourself to your research. As a PhD student you are limited to work with education and administration up to 20 percent of full time.

The Division of Statistics and Machine Learning (STIMA) is highly regarded for its research in many areas of machine learning. This together with being part of a department of computer science makes it unique in Sweden. The division hosts a unique bachelor program in statistic and data analysis, as well as an international master program in statistics and machine learning. The division is also responsible for courses in machine learning taught at the engineering programs at Linköping University.

We are looking for one PhD student to do research in machine learning and causality together with Associate Professor Jose M. Peña. We aim to do research on the theoretical foundations of causality, develop new methods and algorithms for causal learning and inference, and applying these on real world data. We are primarily interested in using causal graphical models, although other frameworks may be considered as well. Our work is part of the project “Understanding society through register-based machine learning” leaded by the Institute for Analytical Sociology (IAS) at Linköping University. The project aims to use machine learning to analyze Swedish population registers in order to deepen our knowledge of key social issues. Therefore, we will collaborate with researchers at IAS and apply our findings on Swedish population register data.

Qualifications
Qualified to PhD studentships are only those who are or have been admitted to graduate studies. In order to be eligible for graduate studies, the candidate should have a Master of Science degree in a relevant subject for the PhD position such as computer science, statistics, or mathematics. The applicant is expected to have good knowledge of computer science, statistics and machine learning. Knowledge and experience in causality and/or probabilistic graphical models is advantageous. Fluency in spoken and written English is a requirement. Therefore, when selecting among eligible applicants, special attention is paid to: 

- Documented skills in machine learning, causality, and probabilistic graphical models.

- Originality, feasibility, and potential scholarly contribution of the planned research to the field of machine learning and causality applied to analytical sociology.

- Experience of working with register data.

- The quality of the applicant’s earlier writings and other merits.

Based on the above criteria, the most suited applicants will be contacted for an interview, work samples and tests.

Appointment time
The appointment will be until further notice for a maximum of one year at a time. A doctoral student may not be employed during a period exceeding eight years. The total time of appointment must not exceed the equivalent of four years´ full time research training.

Starting date
By agreement.

Salary
The salary for PhD students is based on the department’s salary scale.

Union representatives
For contact with union representatives see below.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest May 24th, 2020.

Applications and documents received after the date above will not be considered.

Equal opportunities
A majority of our PhD students within Department of Computer and Information Science (IDA) are men which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact person

URL to this pagehttps://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=13770&rmlang=UK


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