Helsinki ICT Network: Multiple Doctoral Positions 1878 views

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
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