Riitta Silvennoinen appointed Chief Human Resources Officer
Riitta Silvennoinen MSc (Econ.), MBA has been appointed Chief Human Resources Officer (CHRO) and member of the Management Team at Aalto University. She will step into her new position on 1 February 2018. She will be responsible for all personnel processes including competence and leadership development.
Riitta Silvennoinen’s (b. 1966) current position is as Nokia's VP, Global HR Center of Expertise. She has been employed by Nokia, Nokia Siemens Networks and Nokia Networks in versatile human resources management tasks from 1997. Prior to this, she worked at the Helsinki School of Economics' International Center.
'We want to be an inspiring employer and to offer effective processes to support and motivate our personnel's exemplary work in different parts of our organisation. We are now involved in growing international competition, and Riitta Silvennoinen will add important expertise in strategic human resources management to our team stemming from her experience with large multicultural organisations. We wish her warmly welcome,' President Ilkka Niemelä says.
'Aalto University is a pioneer in its field both in Finland and internationally. I look forward to joining this dynamic and innovative community and taking part in its development,' Riitta Silvennoinen states.
Read more news
 
  New macular degeneration treatment the first to halt disease’s progression
Aalto University researchers have uncovered a promising way to treat the dry form of the age- related macular degeneration (AMD) in the early diagnosis phase that could potentially stop its progression. The novel treatment approach aims to strengthen the protective mechanisms of affected cells using heat, explains Professor Ari Koskelainen. 
  AI use makes us overestimate our cognitive performance
New research warns we shouldn’t blindly trust Large Language Models with logical reasoning –– stopping at one prompt limits ChatGPT’s usefulness more than users realise. 
  Researcher cracks new ‘kissing number’ bounds — besting AI in the process
researcher found three new bounds for the famous mathematical ‘kissing number’ dilemma 
   
           
           
           
           
           
          