MSCA Doctoral Researcher (long-term 3D mapping in construction sites) / Väitöskirjatutkija (pitkä

Tampereen yliopisto; Pirkanmaa; On-site; EUR 40 000 - 60 000; Full time

Job summary

A leading Finnish university is seeking a Doctoral Researcher for a project on 3D mapping of dynamic construction sites. The researcher will explore methods for creating and maintaining semantic 3D maps over extended periods, requiring a Master of Science (MSc) in relevant fields. The position is full-time with a gross salary of approximately €3800/month. Applications close on November 16, 2025.

Qualifications

• English proficiency in written/spoken forms is mandatory.
• Experience in relevant fields is appreciated.
• Must be eligible for the Doctoral Program at Tampere University.

Responsibilities

• Investigate methods for creating semantic 3D maps.
• Maintain maps over extended periods in dynamic environments.
• Involved in social media promotion and dissemination.

Skills

Computer vision

Dynamic 3D modelling

Semantic labelling

Deep learning models

Education

Master of Science (MSc) in relevant engineering disciplines or applied mathematics

Job description

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.

Mobile working machines (MWM) are critical to industries like construction, mining, and agriculture and key to Europe’s sustainability and productivity goals. To meet rising demands for green, autonomous, and digital solutions, the ENGAGE network brings together top machine manufacturers (Volvo CE, Liebherr, Ponsse, AGCO), tech leaders (Bosch, Bosch Rexroth, Novatron, GIM Robotics), and six leading academic groups across Europe.

ENGAGE will train a new generation of engineers through Industrial Doctorates, equipping them with cutting-edge expertise in AI, robotics, and mechanical engineering. Together, we’re building the future of smart, sustainable mobile machinery.

We are now looking for a Doctoral Researcher to the project of 3D mapping of a dynamic construction site over extended period of time.

Job Description

Project tasks and objectives:

Industry objectives: To investigate methods and tools for creating semantic 3D maps of the worksite and how to maintain them over extended periods.

Science objectives: 1) Explore approaches for modelling 3D environments and their joint semantic labelling in meaningful categories, such as fixed structures, ground types, materials, people, machines, etc. 2) Investigate how semantic information can support the intelligent partitioning of the model into instances such as fixed structures, people, moving objects, rooms, etc. 3) Investigate methods for efficiently integrating new environmental measurements into existing models to capture dynamic such as how people, objects, or material move in the space. Training will include: broadening knowledge of the state of the art in related fields, such as ML-based 3D reconstruction, semi-supervised semantic labelling of 3D environments, sensor fusion, and modelling of dynamic environments.

The doctoral candidate will also be involved in dissemination through social media promotion of the network, such as project website, LinkedIn groups, YouTube video channels, and blogging.

Requirements

We are looking for a talented, creative and highly motivated researcher. Recruited researcher can be of any nationality. Doctoral Candidate must be eligible to be enrolled into Doctoral Program at Tampere University and have not been awarded a doctoral degree. The candidate must also comply with the respective employers’ requirements in Finland and Sweden.

MSCA Mobility Rule: at the time of recruitment by the host organization the researcher must not have resided or carried out his/her main activity (work, studies, etc.) in the country of his/her employer (in this case: Tampere University, Finland) for more than 12 months in the 3 years immediately prior to his/her recruitment. Compulsory national service and/or short stays such as holidays and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not considered.

At the start of the employment, the applicant must be in possession of Master of Science (MSc) diploma in relevant engineering disciplines or applied mathematics. Experience with computer vision, dynamic 3D modelling, semantic labelling, deep learning models are appreciated.

English language requirements: Proficiency in written/spoken English is mandatory. In certain cases, we may ask for a language certificate.

We offer

The position is full-time, and duration is three years. The expected starting date is January 1st, 2026 or as mutually agreed upon by both parties. A trial period of six months applies to all new employees. The place of employment will be at Tampere University in Finland for a period of 12 months, and in Sweden in Volvo CE for a period of 24 months. Target degree is a doctoral degree from Tampere University.

Supervisory team: Esa Rahtu (TAU), Reza Ghabcheloo (TAU), Mohammad Loni (VCE)

Approximate gross salary: In Finland about 3800 EUR/month plus family allowance if applicable. In Sweden about 3800 EUR/month plus family allowance if applicable. The salary will be defined in accordance with MSCA funding rules.

How to apply

Please submit your application through our online recruitment system. The closing date for applications is November 16, 2025 at 23.59 (Finnish time / UTC +2).

The applicant must submit the following documents:

• Certified copies of the bachelor’s and master’s degree certificates with the Diploma Supplement (DS) as approved by the EU Commission for degrees completed in European universities (when applicable) Official translations into English (if the original documents are in a language other than English).
• Curriculum Vitae/CV (preferably in Europass format), including list of publications, and contact details of 2 or more referees
• One to two pages where you introduce yourself, present your merits, both those relevant to the position and those not directly. Include also your future goals.
• Proof of residence is an own statement and certificates demonstrating your residence(s) in the last 3-4 years

Please note that we will begin conducting interviews during the application period, so early applications are encouraged. This allows us to get to know candidates as soon as possible and keep the process moving efficiently. Please apply at your earliest convenience!

Contact information:

• Professor, Supervisor, Esa Rahtu, [e-mail]
• Professor, Supervisor, Reza Ghabcheloo, [e-mail]
• Specialist, Research and innovation services, Salla Kotakorva, [e-mail]