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Doctoral Candidate (PhD student) for Big Data in Manufacturing

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The University of Luxembourg is a multilingual, international research University in the heart of Europe. We are a young team of highly motivated researchers. We offer a modern and well-equipped laboratory, a friendly team, a committed supervisor, competitive remuneration, and an exciting multi-disciplinary international environment.
 
The Faculty of Sciences, Technology and Communication invites applications for a
 
Doctoral Candidate (PhD student) for Big Data in Manufacturing  (m/f)
 
  • Fixed- term 14 months initial contract, extendable to 36 months, full-time (40h/week)
  • Ref: F1-030059
  • Student status


    In the field of Operational Excellence the University of Luxembourg is looking for a PhD student (m/f), starting in May 2016 to work on a manufacturing related research project in support of the initiative "digital Letzebuerg" launched by the gouvernment of Luxembourg.
Your Role
 
The PhD student will develop advanced big data clustering technologies, analyse all sensor data from production machines, predict future machine failure, dynamically forecast production lead time, and thus contribute to manufacturing competitiveness. The aim is to develop new algorithms based on cyber-physical data to predict upcoming issues in a manufacturing environment. Interact with industrial companies. Contribute to Mechanical Engineering Education. The possibility to issue a PhD thesis will be provided.


Your Profile
  • Master degree in Information Systems, or Computer Science in business, or related with outstanding grades.
  • Hands-on programming skills.
  • Willingness to digg into MES, ERP, PPS systems and other buiness intellgence tools.
    Knowledge in manufacturing technologies is highly appreciated.
    Proficient command of English language is mandatory.     
Further Information
 
For further information please contact Prof. Dr.- Ing. Peter Plapper
(peter.plapper@uni.lu)
Applications must be sent online (button below) and contain the reference of the position, a detailed CV, a letter of motivation and scanned diplomas with grades.
Deadline for application: 22nd April 2016 via the following link: http://emea3.mrted.ly/zwob
 
The University is an equal opportunity employer.
 

Contact detail


How to apply:
Deadline for application: 22nd April 2016 via the following link: http://emea3.mrted.ly/zwob
 
Send application to
For further information please contact Prof. Dr.- Ing. Peter Plapper

 

Job profile


Working hours
Full-Time
Contract duration
Temporary
Type of job
PhD Project
Work experience
job experience is not required
Region
Luxembourg
Working place
1511 Luxembourg
Area of expertise
Mechanical Engineering