2024 Marie Skłodowska-Curie Actions Postdoctoral Fellowship (MSCA PF) positions at ITC Faculty

 Laura Ahva, Journalism Studies Group

Topics I am currently studying:  
1) The role of eventification and events in journalism (such as democracy festivals, conferences, theatre productions), 

2) The role of external innovation funding in journalism (e.g. Google News Initiative). Further topics of the research group are e.g. diversity in journalism (content and newsrooms), career paths of (young) journalists, socially responsible forms of journalism, and datafication in journalism practice. 

We are looking for an independent but co-operative journalism researcher. 

Journalism Studies Group

Contact the supervisor at laura.ahva [at] tuni.fi

Robert Bregovic, 3D-media group

The group investigates methods for capture, processing and display of 3D visual data based on extensive knowledge about the human perception of depth and 3D visual cues. By employing advanced signal processing methods, it tackles specific problems related to the huge amount of data to be processed and the optimal way of visualization using state-of-the-art 3D displays.

We are looking for postgraduates interesteed in the area of 3D imaging (sensing, processing, and/or visualization), VR, and AR.

Keywords: plenoptic imaging, neuromorphic computing, light field, signal processing, image processing, AI, 3D

3D-media group

Contact the supervisor at robert.bergovic [at] tuni.fi

Gerardo Iniguez Gonzalez, Tampere Complexity Lab

The Tampere Complexity Lab, part of the Computing Sciences Unit of the Faculty of Information Technology and Communication Sciences at Tampere University, aims at understanding the emergence of complexity in nature and society. We perform interdisciplinary research on the boundaries of physics, applied mathematics, sociology, and computer science, exploring the structure and dynamics of large-scale systems of interconnected entities that react to each other and the environment, especially in our technologically infused societies. We analyze the statistical properties of large empirical datasets of networked events off- and online, and emulate them via simple mechanistic mathematical models, to figure out how complex adaptive behavior at the macro level arises from a multitude of microscopic interactions. 

We are looking for people with a PhD relevant to research in computational social science, network science, and complex systems in general (including, but not limited to, network science, physics, applied mathematics, computer science, and quantitative social sciences). 

Competitive applicants will have outstanding mathematical, computational, and communication skills, a strong interest in interdisciplinary research, and an open-minded, collaborative spirit. Ideal candidates will have a promising record of high-level international publications and a demonstrated ability to conduct high-impact research in computational social science and network science. A strong research skillset, coming from fields like nonlinear dynamics, statistical physics, applied statistics, data science, and machine learning, will include large-scale statistical data analysis, mathematical modelling, and data/model fitting of complex networked phenomena. We expect the candidate to display genuine interdisciplinary interests, organizational and networking skills within the research community, and the initiative to conduct both collaborative and independent research. Language will be English at a high academic level in an international research environment, but Finnish is a plus. 

Together, we will work on the mathematical and computational modelling of adaptive socio-technical networks leading to group emergence and ideological polarisation in online platforms and uncover mechanisms leading to emergent universalities in the large-scale behaviour of social networks and hierarchical complex systems. 

Keywords Complex systems, network science, computational social science 
 

Tampere Complexity Lab 

Contact the supervisor at gerardo.iniguez [at] tuni.fi (gerardo[dot]iniguez[at]tuni[dot]fi)

Eero Hyry, Topology and discrete mathematics

We are interested in the algebraic foundations of topological data-analysis. Persistent homology is the main tool of topological data analysis. While the theory of single parameter persistent homology is well understood, the general theory of persistent homology over arbitrary posets poses at the moment the biggest challenge of topological data analysis. Graded algebra and representation theory of posets have revealed to be powerful tools for both the theoretical understanding of persistent homology as well as for its practical use. However, the mathematical questions that arise in the general case are very different than the ones encountered classically, and call for new algebraic foundations. We are developing completely new fundamental commutative algebra and differential calculus type analysis of, modules over posets.

We are looking for a candidate with good prerequisites in commutative and homological algebra.

Keywords: persistent homology, persistence module

Topology and discrete mathematics

Contact the supervisor at eero.hyry [at] tuni.fi

Petros Karamanakos, Power Electronic Systems

The main research focus of the group is on the development of software solutions, i.e., control and modulation schemes, that fully utilize the capability of the power electronic hardware by operating the system close to its physical limits. To this end, we design optimal control and modulation methods that that can operate power electronic systems in a cost- and energy-efficient manner and outperform conventional solutions. These methods are developed for and applied to a wide range of power electronics applications, such as variable speed drives, grid-connected converters, utility-scale power converters, low- to high-power systems, etc.

We are looking for a researcher with a strong background in power electronics (power converters, variable speed drive systems, power electronic devices). Moreover, experience in at least one of the following is highly appreciated: modulation methods (space vector modulation, optimized pulse patterns), control theory, learning-based methods, embedded programming, and microprocessors. Finally, interest in mathematics and/or optimization is very important. The researcher should 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 very good command of English, both in writing and in oral presentations, is also required.

Keywords: power electronics, optimal control, modulation, learning-based methods, power converters, variable speed drives

Power Electronic Systems

Contact the supervisor at petros.karamanakos [at] tuni.fi

Simona Lohan, Signal processing for wireless positioning (TLTPOS)

Our main research area focuses on seamless and robust wireless positioning and navigation solutions with a multitude of technologies (GNSS, LEO-PNT, cellular/5G/6G, BLE, WiFi, RFID, UWB, etc.). Our project portfolio spans over a broad area of applications: from designing novel LEO solutions for indoor positioning to offering low-cost GNSS solutions to complement accessible solutions to drinkable water in African region and investigating the relationships between social distances and loneliness among teenagers and elderly in our society. We have a broad expertise in algorithmic developments for wireless positioning on mobile devices, as well as in wireless channel modeling and interference mitigation, which are important building blocks of a robust positioning engine. We have access to a strong hardware infrastructure, including several professional GNSS receivers as well as a multi-channel Spectracom GNSS signal emulator.

We are looking for Postdoctoral researchers with interest in signal processing and physical layer design for wireless positioning (indoor, outdoor, seamless) and joint positioning, sensing, and communications solutions. Both data-driven/Machine Learning and model-driven solutions are relevant.

Keywords: wireless positioning; navigation; tracking; sensing; GNSS; LEO-PNT; 6G positioning

Other information: We have a wide expertise in leading and participating in MSCA networks and a very international team, which experienced first hand the research mobility aspects.
 

Signal processing for wireless positioning (TLTPOS)

 Simona Lohan`s homepage 

Contact the supervisor at elena-simona.lohan [at] tuni.fi (elena-simona[dot]lohan[at]tuni[dot]fi)

Frans Mäyrä, Game Research Lab

Dr. Frans Mäyrä is the Professor of Information Studies and Interactive Media, with specialization in digital culture and game studies in the Tampere University, Finland. He is the founder and co-director of Tampere University Game Research Lab. Frans Mäyrä has studied the relationship of culture and technology from the early nineties, with specialisation in the cultural analysis of technology, particularly on the ambiguous, conflicting and heterogeneous elements in this relationship. Professor Mäyrä has published on topics that range from information technologies, science fiction and fantasy to the demonic tradition, the concept of identity and role-playing games. He is currently heading the Centre of Excellence in Game Culture Studies, which has research foci in the meaning-making processes and cultural agency in games and play, considering the four interconnected main themes: Meaning and Form of Games; Creation and Production of Games; Players and Player Communities; and Societal Framing of Games.

We are looking for candidates who are capable of developing new, interesting research perspectives into contemporary culture and society by explorations of games and play as an art form, or by addressing the emergent practices of play and related theoretical and methodological developments in novel ways. 

Keywords: game cultures, digital cultures, cultural theory, critical theory, agency, meaning-making, interpretation, cultural studies, game studies.

Game Research Lab

Contact the supervisor at frans.mayra [at] tuni.fi

Jari Nurmi, Positioning Hardware Group

Research on Coarse-Grained Reconfigurable Arrays and embedded computing hardware, with applications in Software-Defined and Cognitive Radio, Positioning, and Machine Learning. Also GNSS receiver hardware, Approximate Computing, low-energy computing in general, wearables, eHealth applications.

We are looking for independent researchers with expertise and interests in at least one of the areas: 1) Low-energy computing architectures, 2) Software-defined/Cognitive Radio implementations, 3) Hardware acceleration of Machine Learning algorithms, 4) GNSS Receivers, 5) Applying wearables/sensors and Machine Learning for eHealth. Experience in supervising Master's level students is a plus.'

Jari Nurmi´s page 

Positioning Hardware Group

Contact the supervisor jari.nurmi [at] tuni.fi  

Jaakko Peltonen, Statistical Machine Learning and Exploratory Data Analytics 

 The SMiLE research group researches advanced statistical (probabilistic) machine learning methods for data analysis, especially methods for learning from multiple sources of data and methods for interactive analysis including nonlinear dimensionality reduction and visualization of high-dimensional data. Applications include natural language processing, intelligent information access, and information retrieval, in domains such as game culture analysis, ethical AI, social media, and more. 

We are looking for candidates interested in developing novel methodologies for both automated and human-in-the-loop machine learning methods. 

Keywords: machine learning, ethical ai, game culture research, natural language processing, information visualization, visual data analytics, information retrieval 
 
Jaakko Peltonen´s homepage

Contact the supervisor at jaakko.peltonen [at] tuni.fi (jaakko[dot]peltonen[at]tuni[dot]fi)

Paavo Rasilo, Electromechanics 

The research group of Electromechanics focuses on computational electromagnetics, magnetic material modeling and application of such models to analysis and design of different kinds of energy conversion devices. We work at the interface of electromagnetic theory, computational science, physics of magnetic materials and electrical engineering applications of practical importance. Our vision is to integrate advanced electromagnetic modeling tools together with practical design of electromagnetic and electromechanical energy conversion devices, such as rotating electrical machines, transformers, inductors and energy harvesters. Our ongoing research topics deal with high-frequency modeling of windings in electrical machines supplied by frequency converters, oil-spray cooling systems for electrical machines, characterization and modeling of ferrites and soft magnetic composites for power electronics applications as well as kinetic energy harvesting with electromagnetic and magnetostrictive methods. 

We are looking for electrical or mechanical engineers or applied mathematicians interested in computational methods for electromagnetic, mechanical and thermal field problems, modeling and characterization of magnetic materials or design of electrical machines. 

Keywords: electrical machines, magnetic materials, power losses, heat transfer, finite element method, computational fluid dynamics
 

Electromechanics 

Contact the supervisor at paavo.rasilo [at] tuni.fi (paavo[dot]rasilo[at]tuni[dot]fi). 

Bo Tan, Intelligent Communications and Sensing Lab (iCOS)

In our group, we conduct research on the following topics: 
1, signal processing for radio sensing (radar) and wireless communications, particularly the array processing, detection and estimation, mmWave and THz signal processing and networking. 
2, Machine learning for radio sensing and wireless communications, Particularly the physical layer processing and signal characterization for PHY security  
3, Lightweight, distributed, and secured machine learning methods: the machine learning methods, a framework for large-scale embedded, distributed processors for various applications (healthcare, manufacturing, drone/robot swarming, etc.) 

We are looking for candidates 

1. with a PhD degree in EE, CS, mathematics, control or other related topics 
2. who have passion, resilience, and flexibility with research challenges  
3. who hold leading authorships of publications in IEEE Transactions, Letters, and/or flagship IEEE/ACM conferences 
4. who have high proficiency in English for daily and academic communications 
5. who have good interpersonal communication and time/task management skills 
6. who are willing to participate in the department activities 

Keywords: wireless communications, sensing, machine learning, neural network, decentralised, passionate 

Bo Tan's profile page

Contact the supervisor at bo.tan [at] tuni.fi

Vishnu Unnikrishnan, SoC Hub, Microelectronic Circuits and Systems group 

The group focuses on RF/mixed-signal circuits and systems research to develop enabling hardware architectures, circuit techniques, and signal processing algorithms for 6G radio and high-speed wireline transceivers. Other areas of interest include high-speed/low-power dataconverters, biomedical sensing, brain-computer interface etc. We also have interest in developing concepts for efficient low-energy digital computing, mixed-signal AI accelerators and neuromorphic computing. 

We look for ambitious doctoral candidates in their later years or those with a doctoral degree who is motivated to apply for the prestigious MSCA-PF grants. The suitable research background could be in broad area of signal processing for communication and biomedical sensing, integrated circuit design, hardware design etc. If unsure, please reach out for a discussion. 

Keywords: circuit, device, signal processing, dsp, mixed-signal, RF 

VIshnu Unnikrishnan´s profile page

SoC Hub, Microelectronic Circuits and Systems group

Contact the supervisor at vishnu.unnikrishnan [at] tuni.fi (vishnu[dot]unnikrishnan[at]tuni[dot]fi). 

Kaisa Väänänen, Human-Centered Technology

My research interests cover, but are not limited to: 
* Human-Centered Artificial Intelligence (HCAI), especially user experience of AI solutions and methods for AI application design 
* Design research on HCI for societal purposes, both for social and environmental sustainability 
* Contextual studies of AI applications in everyday life, for example tangible AI interactions in smart urban environments 
 
My research team, called Human-Centered Technology, studies also social robots and more broadly, HCI for sustainability. We mostly conduct qualitative design research and very often in real contexts of use. Mixed methods are also in our “toolbox”. Very often our research endeavours are multidisciplinary. 
 
Please visit my web site for more details: https://research.tuni.fi/kaisa-vaananen/ 
Please contact me to discuss, let’s find out if you could be a good match with my team! 

We are looking for a skilled and enthusiastic young post-doc researcher who is interested in the topics outlined above, or other topics that can contribute to human-centered technology design and research. Your background may be in HCI, design, engineering, or other relevant discipline, as long as you are knowledgeable of methods of human-centered approach to study technology. You need to be fluent in writing and presenting in English, and proactive in presenting your ideas. International experience (e.g. previous study or research visits) are a plus. 

Keywords: Human-Technology Interaction, Human-Centered AI, User Experience, Human-Centered Design, Interaction Design Research 

Human-Centered Technology (IHTE)   

Tampere University Computer-Human Interaction Research Centre (TAUCHI)