PHD STUDENT (SCHOLARSHIP) - OPEN POSITION | Faculty of Electronics, Telecommunications and Informatics at the Gdańsk University of Technology

Job type: full-time

Duration: 36 months (starting from November 3^rd, 2022)

Salary: 4500 PLN/month (tax exemption)

Gdansk University of Technology:

Located in the city with over 1000 years of tradition, Gdansk University of Technology (GUT) is the largest Technical University in north of Poland and the founding member of the Fahrenheit Universities. With sixteen Departments, six Laboratories, and 250 research staff members, the Faculty of Electronics, Telecommunications and Informatics (ETI) is one of the largest at GUT. Both the University and the Faculty belong to the best Higher Education Units in Poland. The city of Gdansk, located in a narrow valley between the post-glacier hills and the Baltic see, offers great infrastructure, decent transportation system, and perfect coastal climate. Such a combination provides perfect conditions for living, learning, and self-development (on both social and cultural levels).

Job description:

The Department of Microelectronic Systems at ETI, GUT is involved in realization of a research project entitled Efficient unsupervised synthesis and prototype-augmented modeling of microwave structures funded by the National Science Center of Poland under Grant no. 2021/43/B/ST7/01856.

The project tackles the problem related to unsupervised topology development of RF/mm-wave components. The latter is often realized using algorithmic approaches dedicated to optimization of interconnected primitives or points that represent the structure topology. Given the specifications, the automatic geometry synthesis is typically handled by population-based metaheuristic algorithms, which offer flexibility in terms of generating desirable topologies, yet at the expense of prohibitive computational cost (thousands of EM simulations required to obtain the solutions). Consequently, usefulness of conventional tools to unattended development of RF/mm-wave structures is limited to simple components with low number of input variables.

The goal of the project is to develop reliable tools for automated generation, optimization, yield-oriented tuning, and prototype-enhanced design of microwave and antenna structures. The key technologies that will be used include machine learning, efficient numerical optimization, surrogate-assisted statistical analysis, but also additive manufacturing. The latter one will be crucial for enabling cheap, rapid components fabrication and their measurements that will constitute a feedback for “prototype-rich” design, i.e., enhancing modeling accuracy to improve manufacturing yield and lower the development cost.

Requirements:

• MSc in electrical engineering;
• Strong background in microwave/antenna engineering with expertise in antenna development, 5G, MIMO, UWB structures;
• Strong analytical and programming skills (especially MATLAB and Python);
• At least two years of experience with CST Studio and Ansys HFSS (scripting, interfacing, model development, simulation, testing, etc);
• Experience related to publication of the research results in professional ISI journals;
• Fluency in English;
• Experience with word processing, and graphics software such as MS Office, Latex, Corel Draw, AutoCAD, Photoshop.

Ideal candidate should also have:

• Experience with additive manufacturing technologies;
• Practical knowledge related to measurements of manufactured component prototypes.

The tasks of PhD student include:

• Implementation of planar/non-planar universal EM models of structures;
• Development of tools for adjustment of the nature-inspired geometries dimensionality and frameworks for variable-parameterized optimization of non-planar geometries;
• Optimization of the mixed-integer components using cost-efficient tools and models and development of techniques to mesh-based approximation of components;
• Implementation of noise-based concepts for generation of randomized components and its integration with nature-inspired geometries;
• Development of methods for in-house performance validation of the materials used in additive manufacturing;
• Determination of additive manufacturing setup oriented towards mitigating the effects of tolerances on components performance;
• Experimental validation of prototype components.

Documents required for application:

• CV;
• MSc diploma;
• Confirmation of the qualifications.

The application should be submitted to: adrian.bekasiewicz@pg.edu.pl before the deadline (October 17, 2022)

In your application, please include the clause: “Hereby, I consent to the processing of personal information included in my application for the purpose of the recruitment process (in accordance with the Act of August 29, 1997 on the Protection of Personal Data, J. of Laws no 133, item 883)”