PhD position in Informatics – Computational Biology and Machine Learning
There is a vacancy for a PhD position in informatics – Computational Biology and 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.
The position is connected to the project “Intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases” (INTRePID) and financed by the Research Council of Norway.
About the Department
Digitization of businesses, industry, public administration, and education makes informatics play an increasingly important role in the development of the society. Research and education in informatics are crucial for the digital transformation of the society to succeed. The Department of Informatics contributes to this through 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. We are also building up a group in computer science didactics. The department offers education for the future at Bachelor, Master and PhD levels. The department is in rapid growth regarding its number of students, research directions, and employees. We have today about 900 students, and 150 employees, among which 37 are faculty and 70 PhD candidates. We have established the Center for Data Science (CEDAS) as an important extension of our research and education activities. The department also hosts the Computational Biology Unit (CBU), which our research group in bioinformatics is a part of.
About the project/work tasks:
All employees are expected to contribute to excellence through high quality research and teaching. The working environment for this position will be at CBU, in the Systems Biology & Machine Learning group headed by Prof. Tom Michoel.
The aim of the INTRePID project is to create intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases using multi-omics data, by developing, implementing and validating novel algorithms for structure learning and inference in large-scale, multi-organ causal Bayesian gene networks. The project will have privileged access to a unique resource of multi-omics data from four Nordic countries generated by the project partners for a proof-of-concept application in cardiovascular medicine.
The person appointed on this position will develop and apply models and algorithms for causal inference, graph representation learning, and inference in large-scale Bayesian networks. A generous budget will be available to undertake training at the interface of machine learning and precision medicine, travel to project partners, and participation in international conferences.
More information about the research group can be found on its website.
Qualifications and personal qualities:
- Applicants must hold a master’s degree or equivalent education in mathematics, informatics, machine learning, theoretical physics, or related discipline. Master students can apply provided they complete their final master exam before 10.12.2021. It is a condition of employment that the master’s degree has been awarded.)
- Experience with machine learning is a requirement.
- Experience of programming in at least one programming language is a requirement (Python, C, C++, Java)
- Experience of analysing real-world data in a numerical computing environment (Python, Matlab, R) is a requirement.
- Experience with the analysis of omics data is an advantage.
- Experience with analysis of large-scale networks is an advantage.
- Experience with causal inference 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.
- Personal and relational qualities will be emphasized. Ambitions and potential will also count when evaluating the candidates.
About the PhD position:
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 over 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 by the head of department 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. The deadline for applying for admission to the PhD programme at The Faculty of Mathematics and Natural Sciences is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you satisfy the enrolment requirements for the PhD programme at the University of Bergen.
We can offer:
- A good and professionally stimulating working environment
- Salary at pay grade 54 (Code 1017/Pay range 20, alternative 10) in the state salary scale. This constitutes a gross annual salary of NOK 491 200, -. Further promotions are made according to length of service in the position.
- Enrolment in the Norwegian Public Service Pension Fund
- Good welfare benefits
Your application must include:
- A brief account of the applicant’s research interests and motivation for applying for the position
- The names and contact information for two reference persons. One of these must be the main advisor for the master’s thesis or equivalent thesis
- Transcripts and diplomas showing completion of the bachelor’s and master’s degrees. If you have not yet completed your master’s degree, please submit a statement from your institution confirming the expected date of award of your master’s degree. Your master’s degree must be documented with transcripts and/or diploma, alternatively a confirmation from your institution on completed degree and your grade, by 10.12.2021.
- Relevant certificates/references
- Approved documentation of proficiency in English (if required, cf. English language requirements for PhD admission)
- A list of any works of a scientific nature (publication list)
- Any publications in your name
The application and appendices with certified translations into English or a Scandinavian language must be uploaded at Jobbnorge by 07.10.2021.
Detailed information about the position can be obtained by contacting:
Professor Tom Michoel
For HR related matters, please contact Lene Sørheim.
Employment is subject to approval with respect to the Norwegian export control legislation
The state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. 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.