Postdoc fellowship in ML Operations

Linnaeus University is running various national and European projects that focus on both fundamental and applied research. The Linnaeus University Centre for Data Intensive Sciences and Applications – DISA (www.lnu.se/en/disa) addresses data-driven methods to gain deeper knowledge and understanding in a variety of applications in engineering, science, and humanities. Linnaeus University runs a graduate school for industrial doctoral students that focuses on applied research, addressing the big data and artificial intelligence challenges of our industry partners.

The advertised position will be placed at the department of Computer Science and Media Technology in the research group Data Intensive Software Technologies and Applications –DISTA (https://lnu.se/en//dista/) that studies data-driven approaches, such as machine learning, artificial intelligence, and big data, to automate and improve software development stages. DISTA is a core research area within DISA.

Field of subject for the position: Computer Science with specialization in ML Operations

Placement: Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden

Employment: 100% employment full-time for two years with possibility for 1-year extension. At most 20% time can be dedicated to teaching and other departmental tasks.

Start date: According to agreement.

Job description and duties

The postdoc fellow will focus on the application of machine learning in the context of larger decision support systems. In particular, the postdoc needs to be an expert of managing the lifecycles of (i) data collection and preparation, (ii) model training, optimization, champion selection, product integration, and (iii) operations deployment, usage, and monitoring. This is summarized under the notion of MLOps that defines habits, practices, and tools for a continuous agile iterative AI development process.

The postdoc fellow will be working with applied research in ML and MLOps, together with other thematic fields of research, such as, eHealth, Computational Social Science, Forestry, Construction, etc., and with small and medium-sized companies in the region Kalmar and Växjö.

The postdoc fellow is expected to regularly present intermediate/final research results at international conferences and workshops, and publish them in conference proceedings and journals.

Eligibility Requirements

Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall have been obtained no longer than three years before the expiration date of the application.

Eligibility for this position also requires that the doctoral thesis has a focus on Machine Learning used in Software Systems and applied in one or more thematic fields (eHealth, Computational Social Science, Forestry, Construction, Software engineering etc.).

Excellent written and oral communication skills in English are required.

Assessment criteria: Excellent knowledge in the applied research areas of Machine Learning and MLOps/DevOps is a must. Good programming skills in relevant languages (e.g., Python) and libraries (e.g., MLFlow), and project management skills are strong advantages. Teaching experiences in the related fields are a plus. Documented expertise and working experience within at least one of the following research and educational areas is of great advantage:

  • (Deep) Machine learning and statistics,
  • Big data analytics,
  • (Agile) Software development and DevOps,
  • Application of these technologies in more than one different area, e.g., in eHealth, Computational Social Science, Forestry, Construction, Software engineering.

Excellent written and oral communication skills in English are required. Swedish skills are a plus. Teamwork experiences should also be documented in the application. Since the subject is male dominated, we encourage female applicants.

Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to contribute to the successful development of the research environment.

Further information Please contact: 

Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.

Please apply by clicking on the Apply button at the bottom of the ad. Your application should be designed according to the Template for application which can be found in the Guide to Appointment procedures under important documents below the ad. The credentials you invoke must be verified with certification and they must be attached digitally in your application. Other documents, including various types of scientific works, must be submitted digitally along with the application. The application and other documents to be marked with the reference number. All documents cited must be received by the University no later than 24.00 (Local time in Sweden) on the closing day.