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The Doctoral School of Industry Innovations (DSII) at Tampere University (TAU) explores research questions that are directly relevant for industry and business. Tampere University hires a Doctoral Researcher to complete a four-year, company-sponsored dissertation project under the joint supervision of a university professor and a company representative.
The sponsoring company for this position is Forum for Intelligent Machines ry (FIMA), an Industry driven association developing intelligence and automation for heavy mobile work machines. Please check out the member companies here https://www.fima.fi/members. DSII offers Doctoral Researchers a unique opportunity to undertake dissertation research, gain a thorough understanding of product development, tackle real-world business challenges and expand their professional networks. You may find interesting to see previous DSII positions https://www.dsii.fi/cases.
Autonomous mobile machines are complex and work in harsh and safety critical environment. The processes in which they are integrated to are distributed and large. They will be working unattended or through tele-operation services. There will be human workers in vicinity. Autonomous systems will become so large and complex that no single company can deliver a turnkey solution. Interoperability, modularity, re-usability, vendor lock free, open-source initiatives, and standardization in software and tools and the coupling of commercial interest with open-source movement is beginning to transform robotics and autonomous systems in the same way that personal computing did.
Fire fighting in smart city, e-commerce and material transport in ports and warehoused, construction and forestry are examples of off-highway applications which is very strong in Finland, specially in Tampere region. They are also supported by large number of SMEs and technology companies. They all want to remain competitive also in the future by being super-efficient in going from design to product. Enabling technologies for productivity are software and system engineering methodologies, tools and processes for design, deployment, testing, validation and certification. Building synergies between modern software development processes and continuous deployment philosophies. Open source initiatives such as ROS2 with strong international support and built on industry proven standards such as DDS can be a possible platform to achieve this dream.
Research objectives and expected results
The main objective is to develop methodologies and tools based on open-source platforms that
- enable rapid creation of autonomous behaviors and data collection and AI processing
- guarantee performance while maintaining modularity and interoperability
- modular system level components, in particular: a) obstacle avoidance b) sensor fusion and world modeling, that can be used across different application domains
- autonomous system architectures that are built into design and development tools
- develop tools and workflow from design to deployment.
- participate and contribute into ROS2 open-source community
- coordinate actions among off-road mobile machine industry on ROS2 and standardization.
The results of the project will be methods and tools used to
- transform design to deployable software and facilitate fast and economical testing
- produce modular and scalable system level components that can be used across industry
- study and evaluate enablers and software models to build platform economy in off-highway machine industry.
At the university, the work will be supervised by Associate Professor Reza Ghabcheloo (Faculty of Engineering and Natural Sciences) and co-supervised by Assistant Professor Outi Sievi-Korte (Faculty of Faculty of Information Technology and Communication Sciences). Beside a large research group of the academic supervisors, the research is supported by FIMA ry. Large part of FIMA members are following technology developments in the field of autonomous mobile machines. Company supervisors have state-of-the-art knowledge on industrialized machine control systems for mobile off-highway machines. This knowledge and industrial network can be used to support student’s research work. FIMA members have practical knowledge on different aspects of control systems and associated standardization for mobile machinery.
The tasks of all Doctoral Researchers will also include teaching duties that amount to approximately 5% of their annual working hours, unless there are justified reasons to the contrary.
You need to have an applicable higher university degree in Automation or Computer engineering with strong background in software and systems engineering. You also need to have an enquiring mind, enjoy problem-solving and be able to think independently while also being able to work in a team. A good command of English, both in writing and in oral presentations, is required.
Successful candidates must be pursuing or should be accepted to study towards a doctoral degree in the Doctoral Programme in Engineering Sciences. Please visit https://www.tuni.fi/en/study-with-us/doctoral-programme-engineering-sciences for more information on eligibility requirements.
The position will be filled for a fixed-term period of four (4) years, commencing in January 2021 or as soon after that as possible. A trial period of six (6) months applies to all our new employees.
The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. According to the criteria applied to teaching and research staff, the position of a Doctoral Researcher is placed on level 2 – 4 of the job requirements scale. A typical starting salary for Doctoral Researchers is approximately 2350 – 2450 EUR/month.
The University has a strong commitment to the highest level of scientific research and the provision of high-quality doctoral education. The faculty as well as the Doctoral School of Industry Innovations support the doctoral students by offering training and peer support. Doctoral students in DSII develop a strong set of skills, enabling them to conduct agile, customer-oriented research, development and business. The University offers a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. Please read more about working at Tampere University.
Tampere is one of the major academic hubs in the Nordic countries and offers a dynamic living environment. Tampere region is one of the three most rapidly growing urban areas in Finland and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society. For more information on Tampere, please visit here.
How to apply
Please submit your application through our online recruitment system. The closing date for applications is 7 December, 2020 (23:59 EET / 21.59 UTC). Please write your application and all the accompanying documentation in English and attach them in PDF format.
Please attach only the following documents to your application:
- A letter of motivation where you describe how your research relates to the call (max 1 page)
- Curriculum vitae according to the TENK template (We may require contact details of two references from the short listed applicants).
- List of publications
- Transcript of records (master’s degree studies).
For further information, please contact:
Associate Professor Reza Ghabcheloo, email: email@example.com
Tampereen yliopisto ja Tampereen ammattikorkeakoulu muodostavat yhdessä Suomen toiseksi suurimman monitieteisen, innostavan ja vaikuttavan tutkimus- ja oppimisyhteisön. Korkeakouluyhteisömme osaamiskärjet ovat tekniikka, terveys ja yhteiskunta. Lue lisää: www.tuni.fi
Tampereen yliopistossa on haettavana väitöskirjatutkijan paikka DSII-ohjelmassa (The Doctoral School of Industry Innovations), joka keskittyy tutkimusaiheisiin, joilla on suora hyödynnettävyys teollisuudessa.
Tehtävä edellyttää tutkimuksen tekemistä ja opintoja kohti tohtorin tutkinnon suorittamista. Työ toteutetaan yhteistyössä FIMAn (Forum for Intelligent Machines ry) kanssa, ja vaatii poikkileikkaavaa osaamista automaatiotekniikan/tietokonetekniikan ja ohjelmistotuotannon alueilta. Hakijalta odotetaan luontaista uteliaisuutta, ongelmanratkaisukykyä, ja valmiutta työskennellä sekä itsenäisesti että tiimissä.
Lue tarkemmat tiedot tehtävästä ja hakuohjeet yllä olevasta englanninkielisestä ilmoituksesta.
Jätäthän hakemuksesi yliopiston sähköisellä hakulomakkeella (linkki löytyy tämän ilmoituksen alta). Hakuaika tehtävään päättyy 7.12.2020, klo 23:59.Application period starts: 2020-11-16 10:00Application period ends: 2020-12-07 23:59
Read the job description at the university homepage
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Post expires on Monday December 7th, 2020