PhD Research Fellow in ICT - Machine learning anomaly detection in automation systems
Deadline: 19.11.2020
University of Agder
The University of Agder has more than 1400 employees and 13 000 students. This makes us one of the largest workplaces in Southern Norway. Our staff research, teach and disseminate knowledge from a variety of academic fields. Co-creation of knowledge is our common vision. We offer a broad range of study programmes in many fields. We are situated at two modern campuses in Kristiansand and Grimstad respectively.
We are an open and inclusive university marked by a culture of cooperation. The aim of the university is to further develop education and research at a high international level.
The Department of ICT has three large and active research groups in Information and Communication Technology including eight Professors, 20 Associate Professors/Assistant professors and about 20 Research Fellows on the PhD programme in ICT. The department pursues a variety of research interests, focusing especially on ICT and crisis management, artificial intelligence, eLearning and eHealth. The department has successfully led a number of large research projects funded by the Research Council of Norway, the EU research programmes FP7 and H2020 as well as national and international industries.
Industrial automation systems are quite large and complex; therefore , automated monitoring is essential for detection of any fault and anomaly present in such systems. The successful PhD candidate is expected to make use of artificial intelligence and machine learning techniques for detection and diagnosis of anomalies in large scale automation systems.
Required qualifications
Master’s degree in ICT, control engineering or a similar/related field and documented competence in areas relevant to the position. Candidates who are in the final stage of the master’s education within the relevant field may also be considered, given that a master’s degree is to be achieved before the enrollment of this position. Applications from applicants who already hold a PhD will normally not be considered.
Strong academic credentials.
Documented strong machine learning background and experience. Candidates must submit maximum 2-page essay reflecting their suitability for and expectations from this position.
Excellent programming skills.
Good hands-on experience with and working knowledge of machine learning algorithms implementation and platforms.
Willingness to work in a collaborative research project.
Written and spoken English proficiency. International candidates that are not exempt from the English language requirements pursuant to the guidelines of the Norwegian Agency for Quality Assurance in Education (NOKUT) must document this through one of the following tests with the stated results or better:
TOEFL - Test of English as a Foreign Language with a minimum score of 600 for the Paperbased Test (PBT), or 92 for the Internet-based Test (iBT)
IELTS - International English Language Testing System, with the result of 6.5
Applicants will be assessed on the basis of academic background and results, attainment, and any previous research and development work.
Prior experience with machine learning for industrial applications may be advantageous but it is not a requirement.
Personal qualities
Personal suitability, good teamwork and communication 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.
In return, we offer the opportunity to contribute to the strategic capabilities of a world-class research organization, along with intensive PhD supervision. You will collaborate with top scientists in your field and have excellent prospects for personal development in an innovative working environment for aspiring researchers.
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
The position is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 482 200 gross salary per year. 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.
Women are strongly encouraged to apply for the position.
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 the 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:
Cover letter
Certificates and/or grades for all post-secondary education, up to and including the bachelor's level
Master's degree/higher degree certificate, with a summary of the courses/subjects included in the degree
Applicants with a foreign higher education must attach an official description of the grading system used at the issuing institution
Summary (approximately 1-2 pages) of the master's thesis
Applicants who are required to document their English proficiency must submit their TOEFL or IELTS test results (these may be forwarded after the closing date)
Summary or links to the applicant's scientific publications (if any)
Contact information for references
1-2 page essay reflecting the candidate’s suitability for and expectations from this position
The applicant is fully responsible for submitting complete digital documentation before the closing date. All documentation must be available in English or in a Scandinavian language.
