Doctoral Candidate in Machine Learning
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 Machine Learning
The position belongs to the Aalto career system and the selected person will be appointed for a four-year fixed term appointment. There is no tuition fee for doctoral studies in Aalto University.
During the doctoral studies, the student will be instructed by Finnish Academy Research Fellow, Dr. Zhirong Yang, and officially advised by Prof. Samuel Kaski, who is the director of Finnish Centre of Excellence in Computational Inference Research COIN and Finnish Academy Professor.
Besides course studies, the appointed student will mainly perform research in the Large-Scale Neighbor Embedding project. The project aims to learn meaningful vector representation of massive data, which is the fundamental starting point in machine learning. Neighbor Embedding as an unsupervised learning method also delivers two important tools for data visualization and for cluster analysis, respectively. The student will also participate in other research activities in the Probabilistic Machine Learning group led by Prof. Samuel Kaski.
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 M.Sc. or equivalent in computer science, mathematics, or related disciplines, strong background in machine learning and excellent programming skills. 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 1 600 hours. The position is 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). The review for the position will begin August 15, 2017 Finnish time. The position remains open until filled. Include your CV, motivation letter, transcript of Master’s 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 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.
- HR Coordinator, Mr. Stefan Ehrstedt, e-mail "firstname.lastname@example.org" (application process, practical arrangements)
- Dr. Zhirong Yang, e-mail "email@example.com" (research related information)
Application material will not be returned.
Espoo, June 29, 2017
The greater Helsinki region is a world-class information technology complex, attracting leading scientists and researchers in various fields of computer science. Helsinki is regularly highly graded in world city rankings, such as global livability ranking by The Economist (Ranked eighth in 2014).