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Doctoral Student in Data Driven Dynamic Modelling of Microstructures in Steel

Published date more than one year ago
Posted: more than one year ago
Company University of Oulu
Company: University of Oulu
End date Sept. 24, 2020
Due date: Sept. 24, 2020
Location Oulu
Location: Oulu

 

The University of Oulu is an international scientific community, with approximately 15 000 students and 3 000 employees. The strengths of the University are wide multidisciplinary study and research interests, modern research and study environment and extensive cooperation with international educational and research institutes.

The Faculty of Science at the University of Oulu is announcing an open doctoral student position, which will be located at the Research Unit of Mathematical Sciences (http://www.oulu.fi/mathematics/) which has an internationally strong position at the forefront of research in its focus areas. The appointee will work in close collaboration with the Materials and Mechanical Engineering Unit and the Process Metallurgy research unit at the University of Oulu. The Materials and Mechanical Engineering Unit conducts research aiming to enhance the industrial steel making as well as advancing the current understanding of the associated microstructural phenomena. The Process Metallurgy research unit is one of the leading European actor in the field of steels pyrometallurgical processing.

This position is aimed at strengthening the participating research units as well as the Data Insight for High-Dimensional Dynamics (HiDyn, https://www.oulu.fi/university/hidyn) program funded by the Academy of Finland PROFI5. HiDyn is a program devoted to multidisciplinary data science and artificial intelligence. It will offer mathematical and methodological expertise to understand high-dimensional dynamic systems.

The doctoral student position is for 3 years and is aimed to start on October 2020 or as soon as possible thereafter.


Description of the position

The research project "Data driven dynamic modelling of microstructures in steel” aims at developing novel data driven methods for dynamic modelling of microstructures in steel.

The Doctoral Student will carry out research work within a multidisciplinary research team, publish research results in international high-quality journals and attend doctoral courses. Some participation in teaching is required. Please also see the requirements of the University of Oulu Graduate School: http://www.oulu.fi/uniogs/requirements_for_admission. The work will be supervised by the collaborative research group (Aarne Pohjonen, Seppo Louhenkilpi, Timo Fabritius, Erkki Laitinen and Mikko Sillanpää).


Requirements

The successful applicant must hold a master degree (or equivalent degree) in applied mathematics, data science, statistics, metallurgy, physics, material technics, material engineering or another field relevant to the position.

We are looking for a talented, highly motivated and research-oriented person who has extensive knowledge in machine learning and data driven methods in general. Experience with metallurgy and materials technology are also considered as an advantage.

Special emphasize is put on the research experience in the subject field and demonstrated experience in writing scientific publications. Experience on multidisciplinary research, work abroad and other international experience will be regarded as an asset.


Salary

The salary of the selected doctoral student will be set on levels 2 – 4 of the national salary scale for the teaching and research staff of Finnish universities. In addition, a supplementary remuneration will be given for personal achievement and performance (max. 50%). The total salary is typically within range 2200–2700 Euros/month for full-time employment.


How to apply

Applications must be accompanied by the following English-language documents:

1) Brief curriculum vitae (Max. size limit of the attachment: 5 Mbytes and 4 pages).

2)  A copy of academic degree(s) and respective transcripts

3) A transcript of studies

4) Brief motivation letter summarizing applicant’s professional experience and expertise and describing why applicant is interested in about this position. Also information on personal research interests and career plans are valuable to provide here (max 2 pages).

5) Full name and e-mail addresses for at least two persons who are willing to give reference letters (if separately asked).

Applications, together with all relevant enclosures, should be submitted using the electronic application form by 24th of September 2020.

 

Contact

Professor Mikko Sillanpää, mikko.sillanpaa (at) oulu.fi, puh. 040-6734474

 

About the City of Oulu

The City of Oulu is Northern Finland’s largest and oldest city, with a population of over 200,000. Located in the Gulf of Bothnia in the Oulu River delta, the city has good access from anywhere. Oulu is a very safe and family friendly community with one of the highest qualities of life in all of Nordic countries. As the world’s northernmost  tech hub, Oulu has a highly educated and innovative workforce and the University has a strong role in the community.