Postdoc in Production Analytics

Sunday 01 Dec 19

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Apply no later than 16 December 2019
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DTU Compute’s Section for Statistics and Data Analysis invites applications for an appointment as Postdoc within production analytics. The position is available from January 1, 2020 or according to mutual agreement. The end date of the position is set to August 31st, 2021.

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time, we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programmes at DTU - both in terms of our scientific disciplines and our didactic innovation.

The aim of the new position is to expand the Department’s teaching and research in production analytics activities.

Responsibilities and tasks
The project’s main focus is on a new technology for production in injection molding. The postdoctoral candidate is expected to be responsible for the design and statistical analysis of experimental data as well as the observational data that will be collected at the pilot studies at DTU as well as at the industrial partner’s production site. The project involves a multi-disciplinary team of academics and engineers, and the postdoctoral candidate is expected to collaborate closely with the team members to facilitate the research and the implementations of its findings. The ultimate goal of the project is to scale up the new technology to production and data analytics will play a crucial role in achieving this goal.

Qualifications
Candidates should have a PhD degree or equivalent in data analytics related fields.

Candidates with experience in statistical methods and analysis of production data (particularly in injection moulding) during their PhD will be preferred.

The candidate is further expected to possess:
 
  • A proven ability to collaborate in a cross disciplinary environment and to communicate with people of different scientific backgrounds.
  • Good communication skills in English.
  • Great programming and statistical modeling skills at a level to address the challenges in this project
  • Demonstrated ability of communicating research findings to practitioners of various backgrounds
The candidate should also have prior experience in production analytics with specific focus on:
  • Analysis of both experimental and observational data
  • Analysis of life data and survival analysis
  • Statistical data analysis particularly using R and R shiny applications
  • Documenting research findings in refereed journal articles and conference proceedings
The candidate will be collaborating with a team of academic and industrial partners.

Therefore, the candidate is expected to: 
 
  • Be confident in facilitating discussions without dominating
  • Thrive with collaboration and team work
  • Have a focus on processes and development as much as on results
  • Be motivated by both personal and team accomplishments
  • Be energized by working with complex topics
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. 

The position is available from January 1, 2020 or according to mutual agreement. The end date of the position is set to August 31st, 2021.

The main workplace is DTU Lyngby Campus.

You can read more about career paths at DTU here. 

Further information
Further information may be obtained from Murat Kulahci, muku@dtu.dk, tel.: +45 4525 3382. 

You can read more about DTU Compute on www.compute.dtu.dk/english

Application procedure
Please submit your online application no later than 16 December 2019 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 
  • Application (cover letter)
  • CV
  • Diploma (MSc/PhD)
  • List of publications
Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.