Doctoral Candidate in Exploratory Data Analysis

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 the Aalto University School of Science is presently looking for a

Doctoral Candidate in Exploratory Data Analysis (Espoo, Finland)

The position belongs to the Aalto career system and the selected person will be appointed for a 1-2 year fixed term appointment with an option for renewal. The starting and ending dates are negotiable.

The position is available in the group of Prof. Kai Puolamäki (http://kaip.iki.fi/group.html) and the research will be related, e.g., to Academy of Finland funded project “Human-guided Data Analysis” (HGDA, http://kaip.iki.fi/hgda.html).

Currently there is a significant amount of work on developing algorithms to find complex patterns and relations from data. The learning algorithms such as deep learning methods are often “black boxes”, which means that it is quite difficult for a user to understand how they actually work and produce the results. This applies to most of the state-of-the-art supervised and unsupervised learning methods. Improving human understanding of how these algorithms work will decrease the inherent risk associated with the interpretation and utilisation of the result and also improves the algorithms' robustness and failure tolerance.

Your task is to is to participate and contribute to the above described research. This includes, e.g., developing methods for explorative data analysis, applying statistical randomisation methods in a novel way to practical problems in data usage as well as studying how state-of-the-art algorithms (classifiers, deep learning networks etc.) can be made more transparent.

Responsibilities

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.

Qualifications

The candidate should have a M.Sc. or equivalent degree in computer science, electrical engineering, mathematics, physics, or other suitable discipline with knowledge of statistics, design and analysis of algorithms, and basic programming skills. Genuine interest in research and willingness to learn new are essential for a successful completion of Ph.D. studies. Studies and/or practical experience in data analysis, information visualization, and good programming skills (e.g., R/Matlab/Python/C) are considered a benefit. Good command of English is a necessary prerequisite.

Compensation, working hours and place of work

The salary for the position starts at 2 424 EUR . 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 1 624 hours. The position is located at the Aalto University Otaniemi campus in Espoo, Finland.

Application material and procedure

Please send your application through the electronic recruitment system ‘Saima’ (see link at the bottom of the page). The position remains open until filled. The application for the position should contain (in a single pdf document named as lastname_firstname_application.pdf):

  • A brief letter of motivation for the position (less than one page)
  • Curriculum vitae (including publications if any)
  • Contact details of at least 2 senior academics available to provide references
  • A transcript and degree certificate of Master’s studies

All material should be submitted in English in electronic format via the recruitment system. 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 M.Sc. 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 or leave the position unfilled.

Further information

  • HR Coordinator, Mr. Stefan Ehrstedt, e-mail "firstname.lastname@aalto.fi" (application process, practical arrangements)
  • Professor Kai Puolamäki, e-mail "firstname.lastname@aalto.fi" (research related information)

Espoo, October 30, 2017

Aalto University

About Helsinki

The greater Helsinki region is a world-class information technology complex, attracting leading scientists and researchers in various fields of computer science. As a living and working environment, Finland consistently ranks high in quality of life, and Helsinki, the capital of Finland, is regularly ranked as one of the most livable cities in the world.

About Aalto University

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. For more information, see http://www.aalto.fi/en/.

Living up to our values

As a community of high ethics we want to assure the highest international standard in research, education and teaching. We expect all our community members to respect Aalto values and follow the ethical principles of fair play and integrity in all our activities and the behaviour that we expect from each other. The Aalto University Code of Conduct is applicable to all Aalto community members and it clarifies the values that guide us.