Doctoral Researcher in Statistical Data Analytics (DSII) / Väitöskirjatutkija, tilastollinen data-analytiikka (DSII)

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

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 Cargotec, a leading provider of cargo and load handling solutions with the goal of becoming the leader in intelligent cargo handling. Cargotec enables smarter cargo flow for a better every day with its leading cargo handling solutions and services. Cargotec's business areas Kalmar, Hiab and MacGregor offer products and services that ensure our customers a continuous, reliable and sustainable performance.

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.

Job description

The purpose of the job is to create new knowledge for academia and industry in the field of data analytics and diagnostic for predictive maintenance. The overall objective of this study is to develop lifetime estimation methods for intelligent cargo handling. This will be done initially using open source datasets, possibly also from other industries than cargo handling, but finally validated using Cargotec’s data. The goals are:

  1. Understand the factors influencing the lifetime and to be able to extract this information for lifetime estimations, 
  2. Have methods applicable for lifetime estimation using extracted usage information from cargo handling operations, 
  3. Develop approaches and frameworks for multidisciplinary audiences to be exploited in different domains.

As a Doctoral Researcher you will be able to conduct research independently and in multidisciplinary teams in the industry and the academia. You will pre-process data, conduct exploratory data analytics, narrow down the research questions and apply and develop appropriate methods for the problems. The results will be disseminated in scientific peer-reviewed journals, international conferences, doctoral network events and events with industry.

At the university, the work will be supervised by Profs Frank Emmert-Streib and Juho Kanniainen and PhD Tomi Krogerus (Cargotec). You will also be supported by practitioners in the steering group, including company representatives. 

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.

Requirements

You need to have an applicable higher university degree in Computing Science, Statistics, Applied Mathematics, Physics or a related discipline in science or 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 of Computing and Electrical Engineering. Please visit https://www.tuni.fi/en/study-with-us/doctoral-programme-computing-and-electrical-engineering for more information on eligibility requirements.

What we offer

The position will be filled for a fixed-term period of four (4) years, commencing in January 2020 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.

We are inviting you to be a part of a vibrant, active and truly international research community. Our research team on Statistical Data Analytics consists of four professors, several senior researchers and lecturers, a number of post-docs and several PhD students. Our research focuses on the analysis and modelling of data from different domains, such as engineering sciences, biology, finance, positioning, and social sciences. Our research is funded by the Academy of Finland, EU, and the industry. We have close collaboration with the research groups in Machine Learning and Applied Mathematics in Tampere University as well as strong international collaboration worldwide. We belong to the Unit of Computing Sciences in the Faculty of Information Technology and Communication Sciences.

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 25 November 2019 (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 and description of your research interests (max. 1 A4 page)
  • Curriculum vitae according to the TENK template  (including the contact details of two referees).
  • List of publications
  • Transcript of records (master's degree studies).

For further information, please contact:

Tomi Krogerus, tomi.krogerus@cargotec.com

Frank Emmert-Streib, frank.emmert-streib@tuni.fi

Juho Kanniainen, juho.kanniainen@tuni.fi

***

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

Teollisuuden innovaatioiden tohtorikoulu (DSII) on ainutlaatuinen tapa yhdistää väitöskirjatutkimus, yritysten liiketoimintahaasteiden ratkaiseminen, ammatillisten verkostojen luominen ja innovaatiotyöhön perehtyminen. Tampereen yliopisto palkkaa tohtorikoulutettavan neljäksi vuodeksi projektiin, jonka rahoitukseen yritys osallistuu. 

Tehtävänkuvaus

Tehtävän aihepiiri sijoittuu tilastolliseen data-analytiikkaan ja tutkimus tehdään tilastollisen data-analytiikan tiimissä tietotekniikan yksikössä. Työssä kehitetään prediktiivistä analytiikkaa satamalaitteiden vikaantumisen ennustamiseksi.   

Hakuohjeet

Lue tarkemmat tiedot tehtävästä ja hakuohjeet yllä olevasta englanninkielisestä ilmoituksesta.

Jätäthän hakemuksesi yliopiston sähköisellä hakulomakkeella (linkki löytyy tämän ilmoituksen alta).

Hakuaika tehtävään päättyy 25.11.2019 klo 23.59.

Application period starts: 2019-10-31 12:00Application period ends: 2019-11-25 23:59
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