PhD scholarship in Deep Learning and Advanced Recommendation Systems for Optimal Product Design – DTU Construct

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PhD scholarship in Deep Learning and Advanced Recommendation Systems for Optimal Product Design – DTU Construct
Kgs. Lyngby, Denmark

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Job Description

The Department of Civil and Mechanical Engineering (DTU Construct) at the Technical University of Denmark is seeking a highly motivated and qualified candidate for a fully funded PhD position. The PhD position is part of the “RECODE” project funded by DFF (Independent Research Fund Denmark-Inge Lehmann program). This innovative project aims to revolutionize Engineer-To-Order (ETO) companies through the implementation of state-of-the-art Machine Learning (ML) and Deep Learning (DL) techniques. The focus is on developing advanced Recommender Systems (RS) to optimize product design, enhance operational efficiency, and promote sustainability in ETOs. The main objective of this research is to: (1) leverage state-of-the-art DL techniques to capture and analyze the relationships/similarities between different complicated products, and (2) develop an open-source tool that automates the DL model training while facilitating similarity analysis.
Responsibilities
You will be an integral part of a dynamic working environment characterized by a congenial team atmosphere, offering ample opportunities for your academic, industry, and personal skill development. Beyond engaging in cutting-edge research, PhD students actively participate in international research projects, collaborate with industry partners, visit renowned international universities with exceptional research recognition in the field, and are afforded the chance to contribute to teaching courses and co-supervise BSc and MSc students. These experiences are designed to equip you with the essential skills needed for the next stages of your career. 
Responsibilities: 

• Algorithm Design and Development:
  • Collect and preprocess data for training DL algorithms.
  • Explore and implement various DL algorithms for product feature analysis.
  • Develop an ML-based Recommender System for product design optimization.
• Open-source Tool Development:
  • Evaluate and implement automatic ML for DL model training.
  • Design and implement the user interface, backend services, and necessary logics.
  • Package the automatic ML algorithm into an open-source tool.
  • Develop an integration plugin for extracting data from third-party systems.

 Qualifications:

• You must 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 (e.g., Computer Science, Engineering).
• Strong background in machine learning, deep learning, and data analysis.
• Proficiency in programming languages (Python, JavaScript).
• Prior experience in working with DL algorithms, preferably in product design or similar domains.
• Knowledge of recommender systems and their applications.
• Familiarity with high-dimensional data analysis methods.

You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

• Research vision and potential
• International impact and experience
• Societal impact
• Innovativeness, including commercialization and collaboration with industry
• Leadership, collaboration, and interdisciplinary skills
• Excellent communication and teamwork skills.

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 DTU's rules for the PhD education . 
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. The desired starting date is 1 May 2024, or flexible, according to mutual agreement. This is a full-time position.
You can read more about career paths at DTU here .
Further information 
Further information may be obtained from Senior Researcher Sara Shafiee, email: [email protected] , tel. +45 5030 4495.
You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk .
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. 
Application procedure 
Your complete online application must be submitted no later than 20 February 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", 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 (in English) including official description of grading scale
• A Research Statement (1-2 paragraphs), where you outline a potential research direction that interests you. The research statement shall address the following three questions: (1) what is the topic you propose to carry out research on? (2) how do you plan to develop a solution for this topic (general research directions, not necessary to go into too much detail). 
• Contact details of two individuals that can provide a letter of reference.

You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it. 
Applications 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 Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and scientific advice of the highest quality within building design and processes, building construction and safety, building energy and installation, solid mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems. 
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 mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

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Job Info

• Job Identification 3030
• Job Category Phd
• Posting Date 01/23/2024, 06:31 AM
• Apply Before 02/20/2024, 05:59 PM
• Locations Nils Koppels Allè, Kgs. Lyngby, 2800, DK

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