The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) is a joint initiative by Aalto University and the University of Helsinki. Helsinki ICT Network invites application from exceptional doctoral candidates.
Research areas:
- Algorithms and machine learning
- Life science informatics
- Networks, networked systems and services
- Software and service engineering and systems
- User centered and creative technologies
Eligibility:
- According to the Finnish university system, applicant must hold a Master’s degree in order to enroll for doctoral studies.
Applications:
- Apply online and send the following documents (submit attachments as single pdf file containing (in English):
- Letter of motivation (max. one page)
- CV and list of publications (with complete study and employment history, please see an example CV at Europass pages)
- A study transcript provided by the applicant’s university that lists studies completed and grades achieved
- A copy of the M.Sc. degree certificate.
- Contact details of possible referees. Please, provide names, positions, affiliations, and e-mail addresses of 2-3 senior academic people available for providing recommendation letters upon request from HICT.
- Candidates may choose upto 10 projects.
Spring call 2020 positions and projects
Project 1: Computational methods in personalized medicine
Supervisor: Prof. Sampsa Hautaniemi (Department of Computer Science, University of Helsinki)
Project 2: Machine Learning for Health (ML4H)
Supervisor: Prof. Pekka Marttinen (Department of Computer Science, Aalto University)
Project 3: Artificial intelligence for Synthetic Biology
Supervisor: Juho Rousu (Department of Computer Science, Aalto University)
Project 4: Association mining algorithms for biomarker discovery
Supervisor: Dr. Wilhelmiina Hämäläinen (Department of Computer Science, Aalto University)
Project 5: Probabilistic modelling for computational systems biology
Supervisor: Prof. Antti Honkela (Department of Computer Science, University of Helsinki)
Project 6: Machine learning and differential privacy
Supervisor: Prof. Antti Honkela (Department of Computer Science, University of Helsinki)
Project 7: Deep learning for process monitoring and control
Supervisor: Prof. Alexander Ilin (Department of Computer Science, Aalto University)
Project 8: Deep learning for Cyber Security
Supervisor: Prof. Alexander Ilin (Department of Computer Science, Aalto University)
Project 9: Deep learning for relational reasoning and planning
Supervisor: Prof. Alexander Ilin (Department of Computer Science, Aalto University)
Project 10: Probabilistic real-time machine learning
Supervisor: Prof. Arno Solin (Department of Computer Science, Aalto University)
Project 11: Deep learning with probabilistic principles
Supervisor: Prof. Arno Solin (Department of Computer Science, Aalto University)
Project 12: Theory of distributed and parallel computing
Supervisors: Prof. Jukka Suomela and Prof. Jara Uitto (Department of Computer Science, Aalto University)
Project 13: Natural language generation and analysis
Supervisors: Prof. Hannu Toivonen, Dr. Mark Granroth-Wilding (Department of Computer Science, University of Helsinki)
Project 14: Web Applications and Technologies
Supervisor: Prof. Petri Vuorimaa (Department of Computer Science, Aalto University)
Project 15: Model-Management Systems
Supervisor: Prof. Michael Mathioudakis (Department of Computer Science, University of Helsinki)
Project 16: Computer Assisted Bayesian Modeling Workflow
Supervisor: Prof. Aki Vehtari (Department of Computer Science, Aalto University)
Project 17: New HPC tools to model solar magnetism
Supervisor: Prof. Maarit Käpylä (Department of Computer Science, Aalto University)
Project 18: Doctoral student position in computer vision and machine learning
Supervisor: Prof. Juho Kannala (Department of Computer Science, Aalto University)
Project 19: Deep reinforcement learning models of human performance
Supervisor: Antti Oulasvirta (possibly with Profs Perttu Hämäläinen, Ville Kyrki, or Samuel Kaski) (Aalto University, Department of Communications and Networking and Department of Computer Science)
Project 20: Software development as learning: The cognitive toolbox of software designers
Supervisor: Dr. Fabian Fagerholm (Department of Computer Science, Aalto University)
Project 21: Edge and Fog Computing
Supervisor: Prof. Mario Di Francesco (Department of Computer Science, Aalto University)
Project 22: Open doctoral student position in Prof. Janne Lindqvist’s group – security engineering, usable security and human-computer interaction
Supervisor: Prof. Janne Lindqvist (Department of Computer Science, Aalto University)
Project 23: Open doctoral student position in Prof. Janne Lindqvist’s group – understanding video streaming user experiences
Supervisor: Prof. Janne Lindqvist (Department of Computer Science, Aalto University)
Project 24: Bayesian deep learning with application to design bacterial genomes
Supervisor: Prof. Harri Lähdesmäki (Department of Computer Science, Aalto University)
Project 25: Bayesian deep learning
Supervisor: Prof. Harri Lähdesmäki (Department of Computer Science, Aalto University)
Project 26: Probabilistic machine learning
Supervisor: Prof. Samuel Kaski (Department of Computer Science, Aalto University)
Project 27: Probabilistic interactive user models for interactive AI
Supervisor: Prof. Samuel Kaski (Department of Computer Science, Aalto University)
Project 28: Probabilistic modelling for personalized medicine and drug development
Supervisor: Prof. Samuel Kaski (Department of Computer Science, Aalto University)
Project 29: Optimizing Edge-Cloud Systems for Big Data and Machine Learning Applications
Supervisor: Prof. Hong-Linh Truong, Aalto Systems and Services Engineering Analytics
Project 30: Data mining tools for dynamic graphs
Supervisor: Prof. Nikolaj Tatti (Department of Computer Science, University of Helsinki)
—————–Quick Overview————- | |
Organization | Aalto University |
Country | Finland |
Fellowship Level | Doctoral |
Subject areas | Computer Sciences, Bioinformatics |
Fellowship amount | varies between 2,000 and 3,000 euros/month |
Eligibility | Open to all nationalities |
Deadline | 27 January 2020 |
———————————— |