1-2 Fully Funded Doctoral candidate/Project researcher positions for all-
weather drone logistics and long-term drone autonomy
The University of Turku is a world-class multidisciplinary research
university which offers interesting challenges and a unique vantage point to
national and international research and education.
1-2 Fully Funded Doctoral candidate/Project researcher positions for
all-weather drone logistics and long-term drone autonomy
We are opening 1-2 fixed-term fully funded doctoral candidate/project
researcher positions at the Turku Intelligent Embedded and Robotic Systems
(TIERS) Lab, Department of Computing, University of Turku, Finland
AeroPolis: Sustainable Aerial Ecosystems for Future Metropolises
The positions are related to long-term drone autonomy, secure autonomous
docking, and all-weather aerial logistic services. These positions are part of
the AeroPolis project at TIERS: sustainable and autonomous carbon-neutral
aerial ecosystems and energy solutions for future metropolises.
The candidates are expected to work within the following research areas:
Remote identification and secure autonomous docking in adverse weather
Distributed estate estimation and ground-air coordination
Design of sustainable and autonomous aerial ecosystems for smart cities
The doctoral candidates are expected to pursue a PhD degree while working on
the project, as well as supervising Master students and supporting teaching
activities for advanced courses at the Department of Computing, University of
The doctoral candidate/project researcher positions are fixed-term ending
31.12.2024. The work is full-time and will start as soon as possible according
to mutual agreement, even as early as Wednesday, June 15th, 2022.
What we expect from the candidate:
Independence, collaboration and analytical skills, and motivation to work
in a multinational and interdisciplinary team on multi-robot systems,
embedded AI, edge computing and DLTs.
Background in relevant fields, such as mathematics, computer science,
physics, computer or mechanical engineering, or another relevant field.
Experience in Python and C++ programming.
Fluent English proficiency.
In addition, we also consider an advantage knowledge of the following topics:
Deep learning and sensor fusion for robotics and embedded systems.
Experience with building, customizing or maintaining multirotor drones.
Experience with ultra-wideband (UWB) localization
Practical hands-on experience with mobile robots and specifically drones.
Experience with control systems and optimization algorithms
Knowledge of algorithms for processing 3D lidar, visual and other relevant
We expect researchers to jointly carry out interdisciplinary research across
the different fields and leverage the opportunities for collaboration within
the TIERS group and with external collaborators.
The qualification requirements of the positions are stated in the University
of Turku Rules of Procedure: https: // www. utu.fi/en/university/organisation
A person selected for the post of Doctoral candidate/Project researcher is
required to have a higher university degree (MSc or MSc tech degree). The
degree must be completed by the end of the application period. If the selected
person already has a right to pursue a doctoral degree at the University of
Turku, (s)he must also have an accepted research plan. In addition, when
acquiring his or her degree or otherwise, he or she is required to have
demonstrated the ability and motivation to undertake postgraduate studies and
the capacity to complete a doctoral degree in accordance with the research
plan. If the person does not have a right to pursue a doctoral degree at the
University of Turku, (s)he must apply the right from the University of Turku
graduate school in Fall 2022.
About the TIERS Research Group
The Turku Intelligent Embedded and Robotic Systems research group
(https: // tiers.utu.fi) works within the fields of autonomous robots and edge
computing, with a focus on developing robust and resilient multi-robot systems
to be deployed in real-world conditions. Our research is put in action with a
fleet of 50+ micro aerial vehicles, 4 large UAVs (DJI Matrice 300 RTK, DJI
S1000) as well as 6 other medium-sized UAVs. These are supported by several
ground platforms (Clearpath Husky UGV and others), legged robots (Unitree
A1), robotic manipulators (2x Franka Emika Panda cobots) and testing
facilities with a motion capture system. Sensors include Ouster OS0-126,
OS1-64, Velodyne's VLP-16, multiple Livox lidars, 20+ Intel Realsense cameras
(L515, D435, T265), FLIR Duo Pro R, 1x DJI Zenmuse H20T, 2x ZED 2i cameras
and other robotic sensors. Several embedded computational platforms are
available, from NVIDIA Jetson (Nano, TX2, NX and AGX) to Intel i7 11th
generation, as well as two local GPU servers for large-scale multi-robot
simulations and training deep learning and reinforcement learning algorithms,
including a Lambda Vector Workstation with AMD Threadripper 3960X (24x3.8GHz
cores) and 2x RTX3090 GPUs.
From the algorithmic point of view, our research is in the areas of
collaborative autonomy, distributed perception, localization and navigation in
GNSS-denied environments and collaborative sensing. Applications include
search and rescue, exploration of unstructured and unknown environments and
autonomous delivery robots. Within the edge computing domain, we carry out
research on lightweight and embedded machine learning, computational
offloading orchestration, blockchain and DLT technologies and distribution of
computational load in large-scale distributed robotic systems.
Salary and How to Apply
The salary is determined in accordance with the university salary system for
teaching and research personnel. For a doctoral candidate/project researcher
the salary will be on the job demands chart on levels 2-4, where the task-
specific salary component is 2108,40–2628,85 euro per month. In addition ,
a personal work performance component will be paid.The personal performance
component is a 6% - 50% of the task-specific salary component.
A six (6) month trial period applies to all the positions.
Applications must be submitted at the latest on Friday 27/05/2022 (23:59)
using the electronic application form of the University of Turku at the
following address: https: // www. utu.fi/careers
The link to the application system is at the beginning of this announcement
(“Apply for the job”).
Please include with your application:
A motivation letter (1 page),
CV (max. 2 pages),
List of publications (if applicable)
Please see the instructions
Verification of language proficiency
Not mandatory, but IF you already have one include it in the application.
NOTE, for doctoral candidate positions, when applying to the University of Turku graduate school, you must have good English language skills and a certificate that proves those skills. See the list of accepted International English language tests here.
Copies of degree certificates with translation in English or Finnish (if applicable)
Contact information for 1-2 referees (name, affiliation, email)
Other documents that may affect the decision-making. For example, information about grants, prizes and recommendation letters that the applicant wishes to present, to indicate the eligibility and merits for the applied position.
For further information about the positions, please contact Associate
Professor Tomi Westerlund, email@example.com.
Regarding the recruitment process, please contact HR Specialist Nina Reini,
Apply for the job