Post-doctoral Research Fellow in Machine Learning

About the position

A fixed-term 100% position is available at the University of Agder, Faculty of Engineering and Science as a Post-doctoral Research Fellow in machine learning, affiliated to the Department of ICT, for a period of two years. The position is located, at the present, at Campus Grimstad. The starting date is negotiable with the Faculty.

Responsibilities

The position is connected to the NRC project “CaReLearner: Causal Reasoning with Logical Interpretable Learning” and the Centre for Artificial Intelligence Research. The objective of CaReLearner is to enable a paradigm shift from correlation-driven to scaled-up causality-driven machine learning. Building on the Tsetlin machine, the project deals with the unresolved learning challenge in logical engineering, the scaling challenge of probabilistic causal models, and the correlation-reliance of deep learning. The fellow will get the opportunity to develop novel Tsetlin machine-based approaches for learning causal knowledge from multimodal data (images, time series, natural language, tabular data, etc.), expressed in relational logic.

Research topics for the Post-doctoral Research Fellow include, but are not limited to the following:

• Relational Tsetlin machine for multimodal data (images, time series, natural language, etc.)
• Causal Tsetlin machines
• Probabilistic interpretation of Tsetlin machines for causal inference

Required qualifications

The successful applicant should hold a PhD in a related field (e.g. machine learning, artificial intelligence, data mining). To be considered for the position, the applicant must have submitted their PhD thesis by the closing date of the announcement.

Further provisions relating to the positions as Post-doctoral Research Fellows can be found in the Regulations Concerning Terms and Conditions of Employment for the post of Post-Doctoral Research Fellow, Research Fellow, Research Assistant and Resident.

Furthermore, the applicant must have:

• Relevant academic credentials
• Written and spoken English proficiency
• Communication and teamwork skills.

Desired qualifications

The ideal candidate will have expertise in the following areas:

• Machine learning
• Probabilistic reasoning
• Programming in Python, CUDA, and/or C/C++

Personal qualities

Personal suitability, good teamwork skills, inventiveness, and a proactive approach, will be emphasized in the evaluation as well as relevant practical experience. The PhD Research Fellow will be expected to contribute to an active research community that promotes the personal and professional growth of the doctoral candidate. The position places great demands on the applicant’s capacity for independent goal-oriented work, ability to concentrate and attention to detail Personal qualities and suitability for the position will be emphasised.

We offer

• professional development in a large, exciting and socially influential organisation
• a positive, inclusive and diverse working environment
• modern facilities and a comprehensive set of welfare offers  
• membership of the Norwegian Public Service Pension Fund

More about working at UiA.

The position is remunerated according to the State Salary Scale, salary plan 17.510, code 1352, NOK 563 900 – 626 100 gross salary per year. Higher salary grades may be considered for particularly well-qualified applicants. A compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.

General information

UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply for the position independent of gender, age, cultural background, disability or an incomplete CV.

The successful applicant will have rights and obligations in accordance with the current regulations for the position, and organisational changes and changes in the duties and responsibilities of the position must be expected. The engagement is to be made in accordance with the regulations in force concerning the acts relating to Control of Export of Strategic Goods, Services and Technology. Appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions.

Short-listed applicants will be invited for interview. With the applicant’s permission, UiA will also conduct a reference check before appointment. Read more about the employment process.

In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right to publish the names of applicants. Applicants will be advised of the University’s intention to exercise this right. 

Application

The application and any necessary information about education and experience (including diplomas and certificates) are to be sent electronically. Use the link "Apply for this job".

The following documentation must be uploaded electronically:

• Certificates with grades
• List of publications
• Doctoral thesis
• Up to 10 academic articles and R&D projects which the candidate wishes to particularly emphasise for the assessment process
• A description of the applicant’s research interests, the background for the thesis question that the applicant wishes to work on, and its relevance for the advertised position. A brief overview of relevant research pertaining to the design of assignments and relevant issues for research should also be included here
• Project plan
• Any other relevant documentation

The applicant is fully responsible for submitting complete digital documentation before the closing date. All documentation must be available in a Scandinavian language or English.

Application deadline: 19.11.23

Contact

For questions about the position:

• Ole-Christoffer Granmo, mobile 977 03 120, e-mail ole.granmo@uia.no

For questions about the application process:

• HR-rådgiver Linda H. Kristiansen, mobile 481 40 609, e-mail linda.h.kristiansen@uia.no