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20 Postdoctoral Researchers in Computer Science

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with nearly 20 000 students and more than 400 professors. Our campuses are located in Espoo and Helsinki, Finland.

The Department of Computer Science at Aalto University is presently looking for a

20 Postdoctoral Researchers in Computer Science

Positions are available in the following areas (please indicate in your application the areas you are interested in, and give motivations for your selections):

1. Formal methods; computer-aided verification; machine learning and program synthesis; cyber-physical systems. Prof. Stavros Tripakis.

2. Algorithms for the design of RNA nanostructures. Prof. Pekka Orponen.

The area of "DNA nanotechnology" (https://en.wikipedia.org/wiki/DNA_nanotechnology) employs DNA as generic building material for assembling nanoscale objects with dimensions in the order of 10-100 nanometres. For instance, we recently presented a general technique for rendering almost arbitrary 3D wireframe designs into biomolecules folded from a single long DNA strand (http://sci.aalto.fi/en/current/news/2015-07-23/).

For several reasons, there is increasing interest in the DNA nanotechnology community to move from DNA to RNA as source material. This is however very challenging, because RNA has remarkably much richer and less well understood folding kinetics than DNA. The recruited postdoc would join us in our efforts on the algorithmic design of RNA sequences that fold into desired shapes, specifically in the so called cotranscriptional framework. For further information, see the research group webpage at "http://research.ics.aalto.fi/nc/".

3.  Algorithms for graph analysis and network inference. Prof. Aristides Gionis.

We are looking for an outstanding and motivated postdoctoral researcher in the topics of graph analytics and network inference. The aim of the project is to investigate novel methodologies and develop efficient algorithms for mining large-scale graph data. Areas of interest include structure discovery in networks, active learning and exploratory graph analysis, and algorithms for labeled and temporal networks. Successful applicants are expected to have an excellent research track record in data mining, machine learning, and/or combinatorial optimization. More information: http://research.cs.aalto.fi/dmg/

4.  Bayesian inference and Gaussian processes. Prof. Aki Vehtari

We are looking for 1-2 postdocs in Bayesian inference and Gaussian processes. The Bayesian inference research focuses in Bayesian model assessment, comparison and selection, priors, approximative inference methods, structural and sparsifying priors for probabilistic programming generally and especially for Stan. The Gaussian processes research includes use of derivative and second derivative observations, structural constraints such as monotonicity, priors, model selection, survival models, and Bayesian optimization. The research is made in Probabilistic Machine Learning group, Aalto <http://research.cs.aalto.fi/pml/research.shtml> and as part of Stan and GPy development teams.

5. Machine Learning for Big Data. Prof. Alex Jung.

Developing theory and algorithms for machine learning applications involving massive, heterogeneous and decentralized datasets (big data over networks). The candidate is expected to have strong background in at least two of the following fields:

- graphical models

- convex optimization

- compressed sensing

- information theory

- probability theory.

6. Games and virtual/mixed reality, with an emphasis on exergames and human movement. Prof. Perttu Hämäläinen.

Aalto’s game research group offers a 3 year post-doc position for a researcher interested in the intersection of computer science, video games, and human movement. We invent novel exergames and interactive systems, develop new technologies such as movement AI for virtual characters, and conduct experiments to study the effects of technology on, e.g., exercise motivation and movement skill acquisition. The ideal candidate has both technical and design background, optionally combined with a passion for some movement art or sport. An interest in eSports or AI & computational design is also appreciated. The hired person will work under the supervision of prof. Perttu Hämäläinen, http://perttu.info.

7. Vision & AI based mobile computing systems. Prof. Antti Ylä-Jääski.

The offered position is in our group whose research focuses on mobile systems with a twist of multimedia. Our focus on systems means that we try to understand complex interactions between protocol layers, machines in distributed systems, and humans and machines. The work typically combines practical work, where we build real systems, with theoretical studies, where we try to understand the optimal operating point of a system, for instance. The current topics include indoor navigation, Artificial Intelligence, Deep Learning, Augmented Reality, Virtual Reality, cloud gaming, multimedia analytics, and video streaming systems, all in the mobile context.

8. Foundations of Distributed Computing for Big Data. Prof. Keijo Heljanko.

9. Mobile computing and the Internet of Things. Prof. Mario Di Francesco.

We are looking for a postdoctoral researcher in the broad area of mobile computing and the Internet of Things. Candidates should have a solid background in networking, with core expertise on algorithm design and analysis, systems research, network optimization, human-computer interactions or security. Additional information on our research is available at: https://users.aalto.fi/~difram1/research.html.

10.   Research on Computing Education and Educational Technology. Prof. Lauri Malmi.

The Learning+Technology group is looking for a researcher to contribute to our work in evidence-based development of computing education. Depending on the profile of the chosen candidate, the research may involve one or more of the following: online learning environments; software tools for computing education; the application of theories from the social sciences in computing education; or learning analytics. Applicants with an interest in other forms of computing education research will also be considered. More information:https://docs.google.com/document/d/1nlNIzvd__5eufxQkQb7mD5L4CW_COLOT0l0w9f6NxHs/edit?usp=sharing

11.   Systems security (2 positions). Prof. N. Asokan.

We are looking for top notch security experts to join a small but successful systems security group. The right candidate has prior research experience (evidenced by publications in top-tier venues) in one or more of the following areas: (1) platform security (2) data analytics and security (both applications of machine learning to security/privacy problems and security/privacy of ML itself) and (3) distributed systems security (especially secure consensus schemes and blockchains). More information on these positions at http://asokan.org/asokan/research/SecureSystems-open-positions-June2017.php

12.   Algorithm theory and engineering. Prof. Petteri Kaski.

A postdoctoral position in algorithm theory and engineering is available at Aalto University. The position is hosted by Petteri Kaski and involves research into theory and engineering of novel algorithmic approaches for hard computational problems (NP-complete problems and conjectured hard problems inside P).

An ideal candidate has a strong background in the theory of algorithms (e.g. parameterized algorithms, exact algorithms, fine-grained algorithm design) or related computational complexity theory, with experience in engineering algorithms for high-performance implementation considered a merit. The position is for 1-2 years and will be compensated according to Aalto University's rules (between 3498 and 3673 EUR per month depending on experience and qualifications), including support for scientific travels. For further information about the position, please contact Petteri Kaski (petteri.kaski@aalto.fi).

13.   Emotional virtual agents. Prof. Tapio Takala.

The focus is in analysis and synthesis of emotional expressions by motion capture and algorithmic animation, but may include subtopics such as:

- use of animated agents in human-computer interaction (HCI) and games

- modeling facial expressions.

- analyzing the uncanny valley

- technologies in virtual and augmented reality (VR/AR) The postdoc is also expected to participate in teaching related topics and to act as students' advisor.

 Reference: http://www.cs.hut.fi/~tta/

14.  Computer vision. Prof. Juho Kannala

We are seeking a post-doctoral researcher to collaborate with Assistant Professor Juho Kannala at the Department of Computer Science at Aalto University. We are a research group working broadly in the field of computer vision. We are pursuing research problems both in geometric computer vision (including topics such as visual SLAM, visual-inertial odometry, and image-based localization) and in semantic computer vision (including topics such as object detection and recognition, and deep learning). An ideal candicate should possess (or be near completion of) a doctoral degree in computer vision or machine learning, together with a solid mathematical background, good programming skills and a strong academic publication record. The starting date is negotiable. The contract is for a 2-year fixed-term period with a possibility for an extension. 

15.   Probabilistic machine learning. Prof. Samuel Kaski

We are looking for one more excellent postdoc or research fellow to the Probabilistic Machine Learning group. We work particularly on Bayesian inference in challenging conditions: multiple data sources, small sample sizes, with parallelization, interatively, preserving privacy, likelihood-free, and/or for nonparametric or semiparametric (read: Bayesian deep learning) nonlinear models. Get in touch about details! For more information on our research, please visit: http://research.cs.aalto.fi/pml/

16.   Machine learning for precision medicine and digital health. Prof. Samuel Kaski

We are looking for a postdoc who wants to participate in developing the new probabilistic modelling and machine learning methods needed for genomics-based precision medicine and predictive modelling based on clinical data. Suitable candidates have either a strong background in machine learning and a keen interest to work with top-level medical collaborators to solve these profound medical problems, or strong background in computational biology and medicine, and a keen interest to develop new solutions by working with the probabilistic modelling researchers of the group. Get in touch about details! For more information on our research, please visit: http://research.cs.aalto.fi/pml/

17. Likelihood-free marketing. Prof. Samuel Kaski

We are looking for a postdoc or research fellow to an exciting new project which develops new methods for Approximate Bayesian Computation based user modelling, and applies them to improving the world by helping people avoid unwanted advertisements. As a side result, this may be an opportunity of generating massive revenue... For more information on the background see http://research.cs.aalto.fi/pml/and http://elfi.readthedocs.io

18. Interactive machine learning. Prof. Samuel Kaski

Bringing user in the loop if one of the most exciting current machine learning research directions. We are looking for a postdoc or research fellow interested in working with us and top-notch human-computer interaction experts in combining interactive intent modelling ideas, cognitive user models and probabilistic machine learning, including reinforcement learning and experimental design. Suitable candidates are experts in one of these topics, and eager to work with experts of the others. Get in touch about details!

19. HCI researchers in Next-Generation Mobile Interaction. Prof. David McGookin.

Advances in AR and the increase of geo-taged data (across a range of domains) generate new possibilitites in how we interact our immediate environment and with others. We are looking for talented Post-Doctoral researchers (or nearly completed PhD students) to tackle these issues. In particular those with a background in mobile interaction, location-based systems, social media and CSCW. We have two open positions, one is a year (with some posibility to extend) and has wider scope. The other (up to 4 years), is as part of a new Academy of Finland grant focusing on digital augmentation of face-to-face interaction.

Informal enquires can be made to Prof. David McGookin (david.mcgookin@aalto.fi)

20. Probabilistic modeling and machine learning for high-throughput bioinformatics. Prof. Harri Lähdesmäki

We are looking for a postdoc to work in our Computational Systems Biology research group to develop novel statistical and machine learning methods for high-throughput bioinformatics. The goal of this project is to develop novel methods to reveal transcriptional and epigenetic mechanisms of cellular processes both at cell population and single-cell level using a variety of next generation sequencing data (including e.g. single-cell/bulk RNA-seq, chromatin accessibility, different oxidized DNA methylation modifications, chromatin looping, histone modification, TCR repertoire, and novel data types). Applicants are expected to have background in bioinformatics, computational biology, probabilistic modeling or machine learning, have previous experience with next-generation sequencing data analysis, and keen interest in molecular biology. Postdoc will be responsible for developing and applying these computational methods and collaborate with experimental and molecular biology research groups. For more information, see (http://research.ics.aalto.fi/csb/) or contact Harri Lähdesmäki (harri.lahdesmaki@aalto.fi).


In addition to research work, persons hired are expected to participate in the supervision of students and teaching following the standard practices at the department.


The candidates should have a Ph.D. and are expected to have an excellent track record in scientific research in one or several fields relevant to the position. Good command of English is a necessary prerequisite. In the review process, particular emphasis is put on the quality of the candidate's previous research and international experience, together with the substance, innovativeness, and feasibility of the research plan, and its relevance to the research group or groups in question. Efficient and successful completion of studies is considered an additional merit.

Compensation, working hours and place of work

The salary for the position is between 3 498 and 3 673 EUR per month depending on experience and qualifications. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The annual total workload of teaching staff at Aalto University is 1 600 hours. The positions are located at the Aalto University Otaniemi campus.

Application material and procedure

Please send your application through the electronic recruitment system ‘Saima’ (see link at the bottom of the page) no later than September 24, 2017 Finnish time. Include your CV, list of publications, brief research statement, transcript of the doctoral studies, and names and contact information of two senior academics willing to give more information.

Short-listed candidates may be invited for an interview on the Otaniemi campus of Aalto University in Espoo or for an interview conducted via Skype. The candidates must have completed their PhD degree before the start of the contract period. Should there be a lack of eligible outstanding applicants, the application period may be extended. While all applicants who have submitted an application by the deadline will be appropriately considered, Aalto University reserves the right to consider also other candidates for the announced position.

Further information

Application material will not be returned.

LabAalto University
Deadline23/09/2017 22:00

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