Senior Researcher/Researcher in Text Mining of citation networks using deep learning - Hiring in process/Finished, not possible to apply

There are currently several research groups at the Department. 

A temporary Researcher position in the field of ‘Machine Learning and text mining’ is offered for the period of 2 years in the Department of Computer Science at Oslo Metropolitan University.

The position will be part of OsloMet Artificial Intelligence Lab (AI Lab), which is a joint research centre for OsloMet – Oslo Metropolitan University and SimulaMet. It administers research and innovation projects in artificial intelligence, both applied and basic research, including theory and the use of machine learning in different areas. 

The candidate will work on a project entitled “REFSA: Machine Learning-based systems for the automation of systematic literature reviews in food safety domain” funded by the EEA and Norway Grants. The project is a collaboration between different partners including Warsaw University of Technology, the Norwegian Institute of Public Health and Oslo Metropolitan University.

The project addresses developing Artificial Intelligence based tools that would reduce the use of time and human resources in the area of Systematic Literature Review (SLR).

The main duty of the candidate is to develop an Artificial Intelligence based tool for use of citation networks for integrated literature search and appraisal using Open Source and proprietary software. This will be achieved through specific objectives as follows: 

• Integrating criteria used in the tool such as keywords and inclusion and exclusion criteria. 
• Developing a crawling tool to extract a citation network from a research database based on manually identified seed articles. 
• Developing graph theoretical based ranking metrics to identify relevant literature based on citation network. 
• apply deep graph neural networks to citation networks combined with deep learning methods for text analysis and ranking of research articles
• test active learning methods for literature search and screening.
• Developing a tool to generate a library of relevant literature.  
• Preliminary evaluation of the sensitivity and specificity of the tool 
• Revising the tool to address the issues identified in the preliminary evaluation if needed 

Tasks and responsibilities

• Research on the state of the art of automation of systematic literature
• Conduct experiments using machine learning and artificial intelligence techniques
• Disseminate the projects results and outcome through appropriate channels
• Help administrative requirements as a project partner

Qualifications requirements 

• PhD degree (for Senior Reseracher) or Masters degree (for Researchers) in Computer Science or Engineering related subjects with experience in one or more of the following:  
  • Machine learning/deep learning
  • Deep Graph Neural Networks
  • Deep reinforced learning
  • Active Learning
  • Link analysis and ranking
  • Word embedding techniques, Word2vec and BERT
  • Statistics / applied mathematics
  • Text mining/natural language processing
  • Artificial Intelligence
  • Software development
  • Human Computer Interaction
• Ability to conduct independent research
• Proficiency in oral and written English is required

General criteria for appointments to academic positions are covered by the Regulations for appointment and promotion to academic posts.

General criteria for evaluating educational competence are described by OsloMet's criteria for evaluating educational competence.

The following will be an advantage

• Emphasis is also placed on the following skills, competence and experience:
• Good communications and cooperation skills
• Personal skills relevant for a good working environment
• The applicant's topical profile evaluated against the topic of the project

It is important for OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active endeavours to further develop OsloMet as an inclusive workplace and to adapt the workplace if required. If there are periods where you have not been in work, under education or in training, you are also welcome to apply. 

Expert assessment:

Applicants will be assessed by an expert committee. By the application deadline, please upload the following documents together with your application: 

• CV (including the name and contact information of at least three references)
• Full list of publications
• Copies of certificates/diplomas
• Full texts of the five most relevant publications
• A copy or summary of your PhD thesis
• Other relevant documentation

You must upload all the documents in order for your application to be processed. The documents must be in either English or a Scandinavian language. Translations must be authorized. Originals must be presented if you are invited for an interview. OsloMet checks documents in order to give you as a candidate a proper evaluation and ensure fair competition.

If you have documents that cannot be uploaded electronically, please contact HRTKD@oslomet.no

OsloMet has signed and committed the institution to follow the recommendations in the DORA declaration.

We offer

• An exciting job opportunity at Norway’s third largest and most urban university
• Participation in a dynamic professional environment and unique academic community
• The opportunity to be part of the development of a young and ambitious university with an entrepreneurial culture
• Academic development as part of a group of committed colleagues.
• Opportunities for academic development in a professional research environment
• Beneficial welfare schemes and a wide range of sports and cultural offers
• Working location in downtown Oslo with multiple cultural offers

Practical information about relocation to Oslo and living in Norway.

The position is remunerated in accordance with the Norwegian State salary scale 60-74, job code 1109 Researcher, or with the Norwegian State salary scale 51-66, job code 1108 Researcher. The salary is NOK 458 900 – 694 400 per year. A higher salary may be considered for particularly well-qualified applicants.

Other information

For more information about the position, feel free to contact

• Professor Anis Yazidi, email: anis.yazidi@oslomet.no
• Professor Paal Engelstad, email: paal.engelstad@its.uio.no

If you wish to apply for the position, please do so via our application portal.

Ref: 21/03220
Deadline for application: 16.04.2021