Assistant Professor / Associate Professor / Professor in Computer Science University of Helsinki, Faculty of Science

The University of Helsinki is among the leading multidisciplinary research universities in the world. In addition to its 11 faculties, the University includes several independent institutes, some of which are jointly operated with other universities. Some 35,000 students are currently pursuing an undergraduate or a postgraduate degree at the University of Helsinki.

 

Measured in number of students and teachers, the Faculty of Science at the University of Helsinki is the largest science faculty in Finland. There are some 6,000 students taking a basic degree. Out of them, some 1,000 are postgraduates. There are some 500 international students, and over 200 researchers and teachers from abroad.

 

The open vacancies presented below are situated at the Department of Computer Science, which is part of the Faculty of Science. The Department of Computer Science is the leading Computer Science research and teaching unit in Finland. The research themes of the department cover machine learning and algorithms, computer networks and distributed systems, software systems and bioinformatics. The department has a close research partnership with Helsinki Institute for Information Technology (HIIT). The department has an excellent research infrastructure, including its own high-performance cluster.

 

The University of Helsinki has established a new multidisciplinary research centre in collaboration with Aalto University, namely the Helsinki Centre for Data Science (HiDATA). HiDATA aims in creating a world-class research and research-based education hub of data science in Helsinki, enabling to overcome technological challenges brought about by the digitalisation of society. Data science is an interdisciplinary field about computational processes to extract knowledge and insights from data.

 

The Faculty of Science invites applications for four (4) positions of


ASSISTANT PROFESSOR / ASSOCIATE PROFESSOR / PROFESSOR in Computer Science
in the following areas:


1. Data Science ̶ Machine Learning and AI
The department will consider exceptional candidates in any pertinent area of data science, but is particularly interested in candidates whose primary research expertise is in machine learning including deep learning and reinforcement learning, artificial intelligence including game AI, or applications in image, speech and/or text analysis, synthesis and/or generation.

 

2. Knowledge Discovery in Big Data ̶ Example Domains Include Atmospheric Applications and Other Areas of Data Science
The department will consider exceptional candidates in any pertinent area of data science, but is particularly interested in candidates whose primary research expertise is in knowledge discovery in big data, knowledge discovery in scientific computing, or data science applications in natural sciences (e.g., atmospheric sciences, material sciences, life sciences).

 

3. Data Science ̶ Special Emphasis on Software Engineering Research
The department will consider exceptional candidates in any pertinent area of data science, but is particularly interested in candidates whose primary research expertise is in data science software, data science software platforms, or analytics infrastructure.

 

4. Privacy-aware and Secure Data Science
The department will consider exceptional candidates in any pertinent area of data science, but is particularly interested in candidates whose primary research expertise is in privacy and security issues of data science.

 

You may with one application apply for one or more positions. Please mention in your application letter which position(s) you are applying for, and your order of preference.

 

The successful applicant may be appointed to a professorship or a fixed-term associate/assistant professorship (tenure track system consisting of two stages, each 3 – 5 years), depending on his or her qualifications and career stage. For a person to be eligible for the position, he or she must have completed a doctoral degree in data science or related field and has since acquired promising academic and other merits on research into data science, more specifically into the special area of the position.

 

Collaborating with other researchers of HiDATA and Faculty of Science, the professor should conduct top-level international research, provide teaching based on such research, and supervise theses and dissertations. He or she should also participate in doctoral education as well as acquire research funding. If appointed to associate/assistant professorship, the applicant must be capable of independent scientific work and have the ability and motivation to pursue a scientific career, as demonstrated through publications and otherwise. If appointed to (full) professorship, the applicant must additionally possess experience in the supervision of scientific research and present documentation of international experience in the field of research that he or she represents as well as of his or her academic leadership skills.

 

In addition, scholarly work outside Finland, high-quality international publications, active international collaboration networks and elected positions as well as success in the acquisition of external research funding will be considered an asset. Moreover, pedagogical training, teaching experience and merits, the ability to produce learning materials and, especially in the case of the professorship, leadership and interaction skills will be given particular consideration.

 

Professor’s salary will be based on levels 8 – 10 of the demands level chart for teaching and research personnel in the salary system of the Finnish universities. An average starting salary for a newly appointed professor is ca. 5700 euros/month. The salary of an assistant (associate) professor is based on level 7 with the starting salary of about 4700 euros/month (5200 euros/month). For information on the University of Helsinki as employer please see https://www.helsinki.fi/en/university/working-at-the-university/the-univ.... For a description of the tenure track system at the University of Helsinki please see https://www.helsinki.fi/en/university/working-at-the-university/careers-....

 

Applications must have the following enclosures as one joint pdf document (in English):


1) an application letter;
2) an academic portfolio approved by the Faculty (as set out at https://www.helsinki.fi/en/faculty-of-science/faculty/join-us/academic-p...)
containing a summary of supervision duties of master’s and doctoral theses and a presentation on how the applicant plans to develop his/her field and its teaching;
3) a list of those publications and other relevant documents on competence and merits that the applicant wishes to be taken into account in the selection process.

 

Please note that if you apply for several positions, you submit only one pdf document covering all those positions. You may include in your document information specific to each position, clearly marking the position in question.

 

On the Faculty’s request, applicants should prepare to submit up to 10 publications of their choice to be sent to assessors after the application period. The limit of 10 publications concerns each position separately. The publications shall be submitted using the University of Helsinki Recruitment System upon request of the Faculty.

 

Please submit your application using the University of Helsinki Recruitment System. Applicants who are employees of the University of Helsinki are requested to leave their application via the SAP HR portal https://saphr.it.helsinki.fi/irj/portal.

 

The deadline for applications is 28 February 2018.

 

Further information can be obtained from Professor Sasu Tarkoma, Head of the Department of Computer Science, tel. +358 40 5062163, sasu.tarkoma(at)helsinki.fi.

 

Search by 28.02.2018 at the latest

 

apply for the position

https://rekry.helsinki.fi/sap/bc/erecruiting/posting_apply?param=cG9zdF9pbnN0X2d...

 

the search ends

Wednesday, February 28, 2018


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