Postdoctoral Researcher 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
Postdoctoral Researcher in Exploratory Data Analysis (Espoo, Finland)
The position belongs to the Aalto career system and the selected person will be appointed for up to a two-year fixed term appointment. The starting and ending dates are negotiable.
The position is available in the 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 research if above described topics. 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.
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 candidate should have a doctoral degree in computer science, electrical engineering, mathematics, physics, visual analytics, or other suitable discipline, as well as an excellent track record in research with publications in high-level forums. The applicant must have a good working knowledge of statistics as well as of design and analysis of algorithms. Expertise in one or more of the following is considered an advantage: deep knowledge of statistics and of design and analysis algorithms, good programming skills, knowledge of human cognition, information visualization, HCI, multidisciplinary collaboration. In the review process, a particular emphasis is put on the quality of the candidate's previous research and international experience. Good communication skills in written and spoken English are a necessary prerequisite.
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 1 624 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 short letter of motivation describing the your previous research experience and future research interests (max one page)
- Curriculum vitae
- List of publications
- Contact details of at least 2 senior academics available to provide references
- A transcript of doctoral studies and degree certificate of the Ph.D. degree
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 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 or leave the position unfilled.
- HR Coordinator, Mr. Stefan Ehrstedt, e-mail "email@example.com" (application process, practical arrangements)
- Professor Kai Puolamäki, e-mail "firstname.lastname@example.org" (research related information)
Espoo, October 27, 2017
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.