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

Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger

Kongens Lyngby

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 http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths.

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.

Kilde: Jobnet.dk


Information og data

Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".

Arbejdsstedet er beliggende i Kongens Lyngby.

Jobbet er oprettet på vores service den 23.1.2024, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • Øvrige
  • Kongens Lyngby
  • Tirsdag den 20. februar 2024

Lignende jobs

Statistik over udbudte jobs som øvrige i Kongens Lyngby

Herunder ser du udviklingen i udbudte øvrige i Kongens Lyngby over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal øvrige.

Se flere statistikker her:
Statistik over udbudte øvrige i Kongens Lyngby over tid

Dato Alle jobs som øvrige
11. november 2024 21
10. november 2024 21
9. november 2024 20
8. november 2024 20
7. november 2024 20
6. november 2024 19
5. november 2024 19
4. november 2024 20
3. november 2024 18
2. november 2024 18
1. november 2024 21
31. oktober 2024 20
30. oktober 2024 21
29. oktober 2024 21
28. oktober 2024 25
27. oktober 2024 25
26. oktober 2024 25
25. oktober 2024 25
24. oktober 2024 27
23. oktober 2024 28
22. oktober 2024 30
21. oktober 2024 29
20. oktober 2024 31
19. oktober 2024 31
18. oktober 2024 29
17. oktober 2024 29
16. oktober 2024 28
15. oktober 2024 30
14. oktober 2024 32
13. oktober 2024 30
12. oktober 2024 30