Paul Wurth is interested in hosting a postdoctoral fellow within the Marie Skłodowska-Curie Individual Fellowship programme. 

         Please note that this opportunity is not a funded positions (yet); it depend on

         1. The organization selecting you for continuing the process and

         2. A successful proposal written mostly by you (with some input from your host organization           in Luxembourg) and submitted before September 9th 2020.

Project idea: 

• Apply a deep transfer learning approach for multivariate time series in order to create an ideal dataset from multiple blast furnaces to train a Deep Reinforcement learning model
• Research an architecture to train a reinforcement learning model with data and simulation model

Offer Requirements

• PhD in deep learning applied to multivariate time series
• PhD in reinforcement learning for, ideally, autonomous system

Institute description: 

Founded in 1870 with headquarters in Luxembourg, Paul Wurth is a global leader in the design and supply of complete plants, systems and processes for the primary stage of integrated steelmaking. Our portfolio includes the construction of complete blast furnaces, cokemaking plants, agglomeration plants, direct reduction plants, waste treatment as well as recycling facilities with a full range of services in engineering, project management, site supervision, commissioning assistance, operator consulting and after-sales. Paul Wurth also offers tailor-made solutions for oil & gas downstream processes as well as solutions and technology for decentralised energy production.

For PAUL WURTH, the global trend towards digitalisation offers large opportunities to create additional value for our customers. Relying on sound process know-how and mechanical expertise, we develop attractive new products and service solutions, directly addressing the customers’ real needs.

Connected products. By integrating manifold sensors, advanced automation with AI and mobile dashboards, we make our equipment smart.

Connected operations. We harness the power of our process optimisation Xpert tools for your production.

Connected customers. We put in place digital interfaces to intensify your daily exchange with us.

Connected services & support. The know-how of our process experts combined with the skills of our developers and research/data scientists create a new generation of support.

Paul Wurth has over 1400 highly skilled and talented professionals working in 20 countries across the steel producing regions of the world, driving innovation and technical advancement.

Benefits

Paul Wurth is a worldwide leading actor to bring machine learning/deep learning solution in the ironmaking industry. Paul Wurth is prioritizing research in that field to bring to the market innovative products compare to the competitors. The advantage of Paul Wurth to innovate in machine learning/deep learning is his dual expertize in ironmaking process and data science.

About Marie Skłodowska-Curie Actions Individual Fellowship:

The MSCA IF are postdoctoral fellowships, financed through the European Commission for 2 year positions, covering salary and research costs of the researchers, who can come from anywhere in the world. The evaluation process of these programmes is more about the project and the career development of the candidate, than his/her publication record. The organizations in Luxembourg that want to host such talented researchers include large public research organizations as well as private companies that offer interesting job perspectives after completion of the fellowship.

Minimal eligibility criteria

• Individual: applicant applies together with host institute
• PhD at the deadline or Masters plus 4 years of full time equivalent research experience
• Not working or living in Luxembourg for longer than 12 months before the call deadline
• For rules see here or contact your NCP

How to apply

Please submit your CV to Charles Betz, Advisor - European R&D and Innovation Support at Luxinnovation, until May 15th 2020 and refer to which position(s) you are applying for; you can also send several finetuned CVs if you are interested in multiple positions. Make sure you address the text and requirements mentioned by the respective hosts. 

Please note that applications are made through Luxinnovation, your contact point for Horizon 2020 in Luxembourg, before being handed over to the host company.

Luxinnovation, the Luxembourgish Innovation agency and National Contact Point for MSCA, will support both you and your future host institute during your application phase. For all applicants coming to Luxembourg we offer guidance documents, webinars, training in proposal writing and we will review your proposals if you wish so (depending on our availability). In 2019, MSCA IF proposals from Luxembourg had an average success rate of 28.5%, and proposals reviewed by our service 42%.

More information can be found on our website.

Keywords

• Deep Transfer learning for multivariate time series data
• Deep Reinforcement learning
• Autonomous Blast Furnace
• Generative deep learning: Autoencoder, Generative Adversial Network
• Application of deep learning for IoT

Research in Luxembourg 

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• Let's make it happen