The position focuses on research in the area of precision manufacturing engineering and manufacturing digital technologies, with focus on IoT, Big Data analytics, system integration, simulation and autonomous robots. It is the goal for the current PhD project to develop in-depth root-cause analysis and detailed Pareto analysis of failure mode using big data approach to achieve intelligent predictive maintenance
Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; M.Sc. in Mechanical Engineering, Computer Science or Business informatics; Knowledge about statistical quality control methods (e.g. statistical process control, design of experiment, big data analytics); Knowledge and experience with programming; Knowledge and experience with algorithms for Massive Data Set; Knowledge and experience with digital manufacturing technologies such as e.g. computer vision system, simulation; Knowledge and experience with measuring technologies and quality control methods; Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group; Good communication skills in English, both written and spoken
PhD scholarship in the field of Improving overall Equipment Efficiency in Silicon Crystal Growth Production with Digital Manufacturing Technologies DTU Mechanical Eng Share on Facebook Share on Twitter Share on Linkedin Wednesday 10 Jul 19 Apply for this job Apply no later than 4 August 2019 Apply for the job at DTU Mechanical Eng by completing the following form. Apply online The Section for Manufacturing Engineering at the Department of Mechanical Engineering, Technical University of Denmark, performs research based on a multi-disciplinary use of process technology, materials science, solid and fluid mechanics, and thermodynamics in the analysis, modelling and development of manufacturing processes. The research objective of the Section is to promote ‘Precision Manufacturing’ to meet the performance, durability, reliability, size, and cost requirements of modern products. The Section for Manufacturing Engineering has an open position in the field of “Improving overall equipment efficiency in silicon crystal growth production with digital manufacturing technologies”. Topsil GlobalWafers has a full scale production facility and all work will address real production challenges. The PhD project is carried out in the framework of the Horizon2020 Marie-Curie Innovative Training Network DIGIMAN4.0 “DIGItal MANufacturing Technologies for Zero-defect Industry 4.0 Production”. Please look at the project website ( www.digiman4-0.mek.dtu.dk/ ) before reading further. The PhD project is related to the Early Stage Researcher (ESR) position no. 3 of the DIGIMAN4.0 project. Responsibilities and tasks The position focuses on research in the area of precision manufacturing engineering and manufacturing digital technologies, with focus on IoT, Big Data analytics, system integration, simulation and autonomous robots. It is the goal for the current PhD project to develop in-depth root-cause analysis and detailed Pareto analysis of failure mode using big data approach to achieve intelligent predictive maintenance. The project will require the integration and development of necessary manufacturing and digital technologies enabling advancements in the process capability and optimization of pure silicon wafers industrial production. The PhD project will have the following objectives: Intelligent use of big data to in-depth analysis of machine failure mode and increase availability of critical equipment Develop a model for accurate control of the product specifications and to optimize production costs. Implement a vision system data fusion for an improved process control/measurement and reduced number of failures due to human errors. Qualifications Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. M.Sc. in Mechanical Engineering, Computer Science or Business informatics Knowledge about statistical quality control methods (e.g. statistical process control, design of experiment, big data analytics) Knowledge and experience with programming Knowledge and experience with algorithms for Massive Data Set Knowledge and experience with digital manufacturing technologies such as e.g. computer vision system, simulation Knowledge and experience with measuring technologies and quality control methods Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group Good communication skills in English, both written and spoken Special requirements: Mobility and experience At the time of recruitment, the Early Stage Researcher (ESR) must not have resided or carried out his/her main activity (work, studies, etc.) in Denmark for more than 12 months in the 3 years immediately prior to his/her recruitment under the project (Autumn 2019). Eligible candidates must be, at the time of the recruitment, in the first four years of their research career and have not been awarded a doctoral degree. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide . Assessment The assessment of the applicants will be made by Associate Professor Guido Tosello, Researcher Matteo Calaon and Production Manager Christian Hindrichsen. 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 appointment terms 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 period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from researcher Matteo Calaon,tel. 4525 4842 and Associate Professor Guido Tosello, tel. 45 4525 4893. You can read more about Department of Mechanical Engineering at www.mek.dtu.dk/english . Application Please submit your online application no later than 4 August 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: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here ) Candidates may apply prior to obtaining their master's degree but cannot begin before having received it. Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. DTU Mechanical Engineering covers the fundamental engineering disciplines within Solid Mechanics, Fluid Mechanics, Coastal and Maritime Engineering, Energy Systems and Energy Conversion, Materials and Surface Engineering, Manufacturing Engineering, Engineering Design and Product Development. The Department has a scientific staff of about 135 persons, 100 PhD students and a technical/administrative support staff of about 85 persons. DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent university collaborating globally with business, industry, government and public agencies. Topsil is a world leading supplier of ultra pure silicon to the global semiconductor industry. Topsil provides tailor-made silicon wafers to enable customers manufacture energy efficient electronic components. Topsil is located in Frederikssund, Denmark and has around 140 employees. All functions, including production and R&D, are located under the same roof enabling a tight collaboration.
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