....work on physical layer signal processing and Radio Resource Management (RRM) algorithms...

Applied Mathematics Researcher

Our clients Wireless Network Algorithm Lab drives innovation for wireless Radio Access Networks (RAN) product. We work on physical layer signal processing and Radio Resource Management (RRM) algorithms. The research is in nontraditional areas and our client cooperate with universities all over Europe to find the next technological breakthroughs.

Responsibilities

• Research and innovation in the area of wireless communications.
• To lead new applications of mathematical theory in the wireless network and big data.


Minimum qualifications

• Experience in modeling and simulation.
• Experience with various applications of mathematical tools, like in estimation and optimization problems.

Preferred qualifications

• A PhD degree in mathematics.
• Solid research background and extensive experiences in the area of belief propagation (message passing algorithms with graphical models).
• Up-to-date knowledge about new research trends in academia, like machine learning.


​​​​​​​Details​​​​​​​ for the position

​​​​​​​Location

Kista/Sweden.


Employment conditions

Full-time consulting position. Employed by Co-Worker or sub-contractor.


Start date

A.s.a.p

Work permit/Resident card

Co-Worker assists for work permit if needed, only for employment, not applicable if sub-contracting for assignment.

​​​​​​​Contact person

Dimitris Lyris  
​​​​​​​+ 46 70 090 47 92    
dimitris.lyris@co-workertech.com

Apply for position

CV/RESUME RECOMMENDATION

Please update with detailed information of technical skills, competence and work experience together with responsibilities and achievements. Your educational background, patents and publications, if any. The more detailed CV, the better.

CO-WORKER PRIVACY POLICY

By sending your CV/Resumé you give Co-Worker Technology your consent to handle your CV/Resumé in accordance with Personal Data Act 1998: 204 (PuL). For more information, please read:    
Co-Worker privacy policy