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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. 

We offer 

The position will be offered for a fixed-term period of 2 years. The starting date is 1 January 2025 or as mutually agreed. A trial period of six (6) months applies to all our new employees. 

In this project, you are going to collaborate with experts from TAU Imaging Research Platform. A full-scale wheel-rail lab will be designed and constructed according to your need. We have good connections to railway industry, which means your developed technology will have the opportunity to be tested on the real train. 

As a member of the dynamic and innovative international community of Tampere University, you will have access to a range of competitive benefits, including occupational health care services, flexible work schedules, versatile research infrastructure, modern teaching facilities, and a safe and inviting campus area. You will also have a personal fund to spend on sports and cultural activities during your free time. Please read more about working at Tampere University. You can also find more information about us and working and living Tampere by watching our video: Tampere Higher Education Community - our academic playground.   

Tampere is the largest inland city in Finland and is considered a major academic hub in the Nordic countries. The region is home to a vibrant, knowledge-intensive entrepreneurial community, and the city is an industrial powerhouse with a rich cultural scene and a reputation as a center of Finland's information society. Additionally, Finland is known for being one of the most stable, free, and safe countries in the world, based on various ratings by prominent agencies. Tampere is surrounded by stunning nature, with forests and lakes offering countless opportunities for easy-to-access outdoor adventures and refreshment throughout the year. 

Read more about Finland and Tampere:  

• Visit Finland
• This is Finland
• Ministry of Economic Affairs and Employment: Welcome to Finland
• Visit Tampere

Salary

The salary will be based on both the job demand level and the employee's personal performance in accordance with the Finnish University Salary System. According to the criteria applied to teaching and research staff, the position of the Postdoctoral Research Fellow is placed on the job demand level 5-6. In addition, employees will receive performance-based salary. Therefore, typically, Postdoctoral Research Fellow´s salary varies between 3700 Euro - 4500 Euro. 

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 

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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.

Tehtävänkuvaus:

Tutkimusryhmä hakee yhtä (1) tutkijatohtoria, jolla on vahva teoreettinen osaaminen ja kiinnostuneisuutta käytännön sovelluksista. Työ liittyy edistyneen kuvantamistekniikan soveltamiseen pyörän ja telan kosketusolosuhteiden valvontaan, mukaan lukien kosketusprofiilien geometriat ja sijainnit. Tehtävään kuuluu tutkimustyön johtaminen, tohtoriopiskelijoiden ohjaus, sekä oma tutkimustyö. Tarkemmat tehtävänkuvaukset ja tehtävään liittyvät tutkimusprojektit ovat esitelty ilmoituksen englanninkielisessä osassa.

Hakuohjeet

Lue tarkemmat tiedot tehtävästä ja hakuohjeet yllä olevasta englanninkielisestä ilmoituksesta.

Jätäthän hakemuksesi yliopiston sähköisellä hakulomakkeella (linkki löytyy tämän ilmoituksen alta). Hakuaika tehtävään päättyy 19.11.2024 klo 23.59.

Lisätiedot:

Assistant Professor, Xinxin Yu, Xinxin.yu (at) tuni.fi