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The Automation Technology and Mechanical Engineering Unit (ATME) at Tampere University invites applications for several summer trainee positions in the fields of Innovative Hydraulics and Automation, Process Control, FAST-Lab, Dependable Systems Automation CyberLab, and Mechatronics.  

Job description 

The research assistants / summer trainees will assist the research groups at ATME by performing a broad variety of tasks. The research interests of our groups cover a wide range of fields, including robotics, automation, modularisation, integration and automation programming, and numerical algorithms. ATME seeks to maintain a balance between basic and industrially applicable research and has been recognised for research excellence in both areas. 

The positions will be filled for a fixed-term period of 3 months, commencing on 1 June 2024 or as mutually agreed. A trial period of 1 month will apply. 

1)  FAST-Lab 

As summer trainee, you will take part in reorganising FAST-Lab’s research and teaching laboratory. Your tasks will involve robotics, automation, integration and programming. The main task will be installation of the new research facility via the university investment plan consisting of a levitating transport system. It will include dismantling and disassembly of the old transport system. Also to organize the new space, installing the new transport modules, assembly the modules and electrically and mechanically test the modules. There will be also installation of new robots to the system and some mechanical designing and installation work will be needed. 

2)  Innovative Hydraulics and Automation (IHA) lab 

a) The Autonomous Mobile Machines (https://research.tuni.fi/iha/) group focuses on solutions for future self-operating mobile working machines and robots (such as forest machines, excavators, forklifts, wheel loaders). We aim at algorithmic innovations, from theory to practice using real-world robot systems. The group research topics include autonomous navigation and manipulation, robot learning in challenging environments and uneven terrain; sensor fusion and SLAM;  software development (ROS2) and safety for autonomous mobile working machines. The group is led Prof. Reza Ghabcheloo and has strong network in the industry, and we seek to solve demanding scientific problems that do arise from realistic environments and use cases.   

• We are seeking summer trainees with strong SW, mathematics or machine learning skills to support our research activities. 

• We offer interesting projects and visibility to the latest developments of technology in the field that is rapidly growing. 

b) Summer trainee in IHA Zonal hydraulics group will improve her/his simulation and practical skills! A trainee will work with prof. Tatiana Minav on the further development of electro-hydraulic and electric concept (ongoing project: EMMA2)and AI-based condition monitoring (ongoing project ESTV) for the electric and hybrid off-road mobile machinery, in one of the with following tasks: 

1. Forest machinery digital twin (Matlab&Simulink, Amesim, Mevea, Labview), 

1. Hardware in the loop (HIL) battery power management simulator for hybrid vehicles (Matlab&Simulink, Twincat, Beckhoff,Mevea, dSpace) 

1. Transparent cylinder (Matlab&Simulink, dSpace, High-speed camera) 

1. Durability test rig (Matlab&Simulink, Labview, Motor control, CANbus) 

1. sWille hybrid wheel loader (Matlab&Simulink, CANbus, CODESYS, Battery and Motor control) 

3)  Intelligent Networked Systems (IINES) group  

IINES group is currently developing a Networked Robotics Laboratory (https://research.tuni.fi/iines/nebolab/) for research and teaching purposes. The lab consists of multiple nano-quadcopters and ground mobile robots which allows evaluation/demonstration of different scenarios related to smart-mobility and distributed robotic networks. 

The summer job is a hands-on experience in development of experiment setup for a nano-quadcopter swarm. You will also have the opportunity to learn and test real-time algorithms for controlling the nano quadcopters (Crazyflies). The tasks include developing an interface for sending control commands from a PC to Crazyflie, integration of the interface with ROS Gazebo, extending the system to facilitate plug-and-play operation, testing the system using safety-guaranteed cooperative control algorithm. 

4)  Dependable Systems Automation CyberLab 

Multiple topics suitable for summer trainee in extending Tampere Cyber City e.g. integrating steam engine as PLC controlled power supply for the Cyber City street lights, integrating traffic lights and wirelessly controlled for Lego train as traffic management solution, building a AR model (Digital Twin) of the Cyber City and integrating real-time measurements to the model, converting existing VR model of distillation process into AR model and integrating real-time measurements to the model, integrating ValmetDNA into distillation process AR model and many more. Depending on the subject the report language requirement may be Finnish since the outcomes are used in Critical Infrastructure Cyber Security Training in Finland. 

Multiple topics suitable for summer trainee in developing automation systems security monitoring and visualisation. Among the topics are Situational Awareness supporting Dashboards, designing and implementing log collection to Operating Systems as wells as automation devices, integrating alarms to Process Operator Console and automation of device traffic simulation. 

 All topics are also suitable for B.Sc. thesis but summer project reports must contain more detailed documentation of the work. 

Required interest areas and knowledge should be some subset of the following: 

• AR/VR technologies 

• Programmable Logic Controllers 

• Data integration and visualisation  

• Electronics, also some knowledge on using a soldering iron 

• Programming using some language (e.g. Visual Studio, Python) 

• Familiarity with Windows or Linux 

• Familiarity with Legos 

• Familiarity or willingness to learn e.g. Graylog, SecurityOnion, log collection. These topics usually require also Linux and Windows skils. 

• Willingness to read manuals, Googling information, learning new things and solving hands-on problems.  

5)  Manufacturing systems research group (MASYRE) 

Topic: Data collection, modelling and experimentation with the Wire Arc Additive Manufacturing (WAAM) process 

Multiple topics are available for trainees. They can be divided into two branches. A first branch of topics dedicated to the development of the WAAM process by integration on the platform of new sensors and development of design of experiments to print parts and collect data generated by the sensors. The second category of topics is trying to exploit the use of the data as well as the metadata to generate control models improving the stability and quality of the printing process.  The manufacturing platform has a dual use and can also be employed for welding purpose.  

Interest areas for the trainees: The trainees interest areas can be varied but should integrate at least one of the following topics, manufacturing, additive manufacturing, process development, applied mathematics, Artificial intelligence, automation, data analytics, engineering design.  

 6)  Digital Design and Manufacturing (D2M) 

Topic: Research on optimization of digital design to manufacturing workflows 

There are multiple research areas (RA) for the summer trainee in the Digital Design and Manufacturing (D2M) laboratory. We do not expect that you are an expert in all these research areas, but your study record and personal interest need to relate to at least one RA and show interest in exploring other RAs. During the application, the summer trainee will need to specify his/her preferred research RA:    

RA#1: Support doctoral researchers on tasks related to computational mechanics: numerical simulation and computational mechanics (e.g., Model-driven methods, Multiscale modelling, FEA, CFD, CAD, CAE, generative design, design automation, topology optimization…). Develop finite element (FE) modeling tools for physics-based forward simulation of manufacturing processes, products and applications. 

RA#2: Support doctoral researchers on tasks related to material and manufacturing process optimization: Material characterization, Design of Experiments (DOE), Statistical analysis, data visualization, data preparation, and experimental research in process-material characterization. 

RA#3: Support doctoral researchers on tasks related to Intelligent manufacturing and machine learning: Mechatronic manufacturing machine sensor integration, ML/ data annotation and preparation, support the development of data-driven models using ML/AI predictive models for material characterization and process interactions, and mathematical optimization. 

* A detailed plan will be drafted after selecting the candidate 

 7)  Tuotekehitys (Konetekniikka) 

Aihe A) Kesäopetus ja opintojaksojen verkkoympäristön kehittäminen.  

Työ sisältää kolme eri osa-aluetta: 

1. kurssin Mallinnus ja dokumentointi KONE.110 kesätoteutuksen harjoitusten pitämistä ja harjoitustöiden tarkastamista. 

1. kurssin KONE.110 Moodle-sivun kehitystä (eteneminen, tenttivaihtoehdot, jne.) 

1. Uuden konetekniikan opiskelijoille suunnatun Luova ongelmanratkaisu –kurssin . 

Tavoitteena on luoda kesän aikana päivitetyt versiot kurssien oppimisalustoista. 

Aihe B) DesignLab tilan kehitys 

Työ sisältää uuden DesignLab tilan kehitystyötä tilan välineistön, kalusteiden ja ohjelmistojen osalta. DesignLab on konsepti, jossa mahdollistetaan isojen ja kompleksisten investointihyödykkeiden suunnittelua usean asiantuntijan yhteistoimintana.  

DesignLab sisältää muunneltavat tilat, useita interaktiivisia näyttöjä, projektoreita yms. Tavoitteena on saada tilat ja ohjelmistot käyttökuntoon kesän aikana. AV-laitteiston, sekä PDM-, DiMo-, GEMS-ohjelmistojen tuntemus katsotaan eduksi. 

8)  Cognitive Robotics 

As summer worker you will be working on different topics from research projects, related to robotics, human-robot collaboration and visual perception.: https://research.tuni.fi/cogrob  Your tasks will be evaluation of different tools, developing automated scripts for evaluation and reporting. This will give you hands-on experience in robotics, by programming with ROS and C++/Python.  

Requirements: 

We are looking for science and engineering students who enjoy problem-solving, have the ability to think independently and work in an international research environment, and possess good social and team working skills. Potential candidates include, for example, students in their 1st to 4th year who have successfully completed their studies, for example, in automation or mechanical engineering. A good command of both spoken and written English will be considered an advantage. 

We offer:  

The summer trainee programme is a perfect opportunity to join a vibrant, international and multicultural research environment and gain first-hand insights into the world of research. Becoming a summer trainee is also an ideal occasion to get involved in cutting-edge research. Summer trainees will be encouraged to discuss potential BSc and MSc thesis topics relating to their traineeship with professors at ATME. In fact, most of our summer trainees stay with us to earn a master’s degree and later continue their studies towards a PhD.  

Salary: 

The salary will be based on both the job demands 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 research assistant is placed on the job demand level 1. In addition, employees will receive performance-based salary, which in the case of research assistants is based on the number of credits they have earned towards their degree. A typical starting salary for Research assistant is approximately 2150 euros / month. 

How to apply: 

Please submit your application by filling out the online application form. The closing date for applications is 19th February 2024 (23.59 EET / UTC +2). 

Applications and attachments must be written in English. The required attachments are a CV, a letter of motivation and a transcript of studies in pdf format. You can apply for multiple positions by submitting a single application form. In your application, please indicate your preferred research area. You can also indicate your preferred research groups in the application form. 

For more information, please contact: 

FAST-Lab: Matti Aarnio matti.aarnio@tuni.fi  

Innovative Hydraulics and Automation (IHA) lab: Tatiana Minav tatiana.minav@tuni.fi  and 

Reza Ghabcheloo (TAU) reza.ghabcheloo@tuni.fi 

Intelligent Networked Systems (IINES) group: Azwirman Gusrialdi azwirman.gusrialdi@tuni.fi  

Dependable Systems Automation CyberLab: Jari Seppälä jari.seppala@tuni.fi  or Mikko Salmenperä mikko.salmenpera@tuni.fi  

Manufacturing systems research group (MASYRE): Eric Coatanéa eric.coatanea@tuni.fi 

Digital Design and Manufacturing (D2M): Inigo Flores Ituarte inigo.floresituarte@tuni.fi 

Tuotekehitys (Konetekniikka) Mikko Vanhatalo, mikko.vanhatalo@tuni.fi  

Cognitive Robotics: Roel Pieters, roel.pieters@tuni.fi  

Questions about the recruitment process: HR Specialist Titta Syväoja (TAU) titta.syvaoja(at)tuni.fi 

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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 

Automaatio- ja konetekniikan yksikkö palkkaa ainakin 5–10 tutkimusapulaista / kesäharjoittelijaa. Tehtävät liittyvät tutkimusryhmissä tehtävään tutkimukseen. Tutkimusryhmiä ovat mm. FAST-lab, Innovatiivinen hydrauliikka ja automaatio, Modulointi, Mekatroniikan tutkimusryhmä ja Prosessien säädön ryhmä. Tutkimusryhmissä kesäharjoittelijat työskentelevät mm. robotiikan, automaation, järjestelmäintegroinnin, ohjelmoinnin ja numeeristen algoritmien parissa. Yksikön tavoitteena on tarjota tasapainoisesti sekä perustutkimukseen että teolliseen soveltavaan tutkimukseen liittyviä tehtäviä. 

Hakuohjeet 

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Hakuaika tehtävään päättyy 19.02.2024 klo 23:59.