POST-DOCTORAL RESEARCH FELLOW POSITION – AUTOMATIC SYNTHESIS OF ANTENNAS AND MICROWAVE COMPONENTS | Wydział Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej

Komisja konkursowa po rozmowach kwalifikacyjnych dokonała wyboru na stanowisko Postdoc; wybrano: dr Khadijeh Askaripour.

The committee has chosen dr Khadijeh Askaripour for the Post-doctoral research fellow position.

Job type: full-time

Duration: 36 months (starting from November 1^st, 2023); trial period – 3 months

Salary: 120 000 PLN/annum gross (c.a. 5 500/month net + 13^th salary)

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 Teleinformation Networks 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:

• PhD in computer science, physics, mathematics, electronics engineering, or related field;
• Experience in concepts such as vector space transformations, machine learning, numerical modeling, data-driven models, optimization;
• High programing experience with MATLAB, or Python is a must (will be verified by a practical test);
• Background in microwave/antenna engineering;
• At least two years of documented experience with 3D CAD software (interfacing, model development, simulation, testing, etc).

Ideal candidate should also have:

• Experience with additive manufacturing technologies;
• Experience with script-based generation of CAD models;
• Experience with CST Studio and/or Ansys HFSS;
• Practical knowledge related to measurements of manufactured component prototypes is an asset.

The tasks of Post-doctoral fellow include:

• Development of methodologies for automatic generation of CAD structures using scripts embedded in the design process;
• Development of low-cost optimization and modeling methodologies, including stratified and data-fusion techniques;
• Adaptation of nature-inspired methods (CBP, superformula, Perlin noise) to generate topologies of RF/mm-wave components;
• Development of mechanisms for low-cost yield estimation (robust design) of microwave/antenna circuits;
• Development of the prototype-enhanced methods for components development;
• Development of best practices for accurate fabrication of prototype structures using 3D printing technologies (SLA/FDM).

Documents required for application:

• CV;
• PhD diploma;
• Confirmation of the qualifications;
• Reference letters from past supervisors.

The application should be submitted to: adrian.bekasiewicz@pg.edu.pl before the deadline (October 15, 2023)

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)”