Postdoctoral Research Fellow (Imaging, computer vision and mechanical engin

at  Tampereen yliopisto

POSTDOCTORAL RESEARCH FELLOW (IMAGING, COMPUTER VISION AND MECHANICAL ENGINEERING) / TUTKIJATOHTORI (KUVANTAMINEN JA KONETEKNIIKKA)

Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en
Within the unit of Automation Technology and Mechanical Engineering, Faculty of Engineering and Natural Sciences, we are recruiting one (1) Postdoctoral Research Fellow position. The unit has about 20 professors and 100 research staff in the areas of Robotics, Automation, and Mechanical engineering. Mechanical engineering is one of the core areas of education and research of the faculty. The position is opened in the Machine Design group.
Our group concentrates on machine design, multibody system dynamics, contact modelling, vibration analysis that can be used for model-based condition monitoring of different machine system, particularly for heavy machine and train-track system. We aim to advance train safety technologies with the integration of cutting-edge imaging technology and computer science.

JOB DESCRIPTION

We are looking for one (1) Postdoctoral Research Fellow in imaging technology, machine learning, signal processing, neural networks and computer vision. The work will be related to apply the advance imaging technology for the onboard monitoring of wheel and track contact conditions, including contact profile geometries and positions. Both senior researchers and fresh doctors with strong background imaging technology, machine learning, signal processing, neural networks and computer vision are encouraged to apply.
The results of your research will be disseminated in scientific peer-reviewed journals, international conferences, doctoral network events and events with industry. In addition, activities include supervision of PhD / MSc students, preparation of grants and support of the general activities of the research labs.

REQUIREMENTS

We seek a motivated and self-guided person with strong theoretical background who is interested in applying advance imaging technology into mechanical engineering, especially railway engineering applications. If you have background in mechanical engineering, it will be a plus for this position.
You should have a PhD degree in a relevant field. We expect a competence to pursue independent scientific work and adequate teaching skills. You should be fluent in spoken and written English.

HOW TO APPLY

Please submit your application through our online recruitment system. The closing date for applications is 19th November 2024 (23:59 EET / UTC +2). Please write your application and all the accompanying documentation in English and attach them in PDF format. Applications should include the following documents:

• Curriculum Vitae, e.g., according to TENK guidelines
• List of publications
• A letter of motivation, highlighting your achievements and ambition. Please indicate your preferred topic of research from the job descriptions and your most important work/publications and/or other achievements.
• Short listed applicants will be asked to submit a short research plan.

For more information, please contact:
Assistant Professor, Xinxin Yu, Xinxin.yu (at) tuni.fi

Tampereen yliopisto ja Tampereen ammattikorkeakoulu muodostavat korkeakouluyhteisön, joka uskoo ihmiseen ja tieteeseen. Tekniikan, terveyden ja yhteiskunnan huippuosaajat muuttavat maailmaa Suomen toiseksi suurimmassa monitieteisessä ja innostavassa tutkimus- ja oppimisympäristössä. www.tuni.fi.
Tekniikan ja luonnontieteiden tiedekunnan Automaatiotekniikan ja konetekniikan yksikössä haemme yhtä (1) Tutkijatohtoria. Yksikössä työskentelee noin 20 professoria ja 100 tutkijaa robotiikan, automaation ja konepajatekniikan aloilla. Konetekniikka on yksi tiedekunnan koulutuksen ja tutkimuksen ydinalueista. Tehtävä avataan koneensuunnitteluryhmässä.
Ryhmämme keskittyy koneensuunnitteluun, monirunkojärjestelmän dynamiikkaan, kosketusmallinnukseen, värähtelyanalyysiin, joita voidaan käyttää eri konejärjestelmien mallipohjaiseen kunnonvalvontaan, erityisesti raskaaseen koneeseen ja junaratajärjestelmään. Pyrimme kehittämään junien turvallisuusteknologiaa yhdistämällä huippuluokan kuvantamisteknologian ja tietojenkäsittelytieteen.

• Curriculum Vitae, e.g., according to TENK guidelines
• List of publications
• A letter of motivation, highlighting your achievements and ambition. Please indicate your preferred topic of research from the job descriptions and your most important work/publications and/or other achievements.
• Short listed applicants will be asked to submit a short research plan