PhD student in Computer Science with a focus on secure communication

Mälardalens Universitet / Högskolejobb / Västerås
2024-11-06


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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish to make a difference.

Do you want to be involved and contribute to our development?

Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new perspectives are best attained and reached together in collaboration with others - our colleagues, students, the private and public sectors, both nationally and internationally

At the School of Innovation, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, information designers, network technicians and engineers. We have five research specializations with different research profiles and research schools. Our work takes place in cooperation with and in strategic agreements with companies, organisations and public authorities in the region.

Employment information
Employment: Temporary employment
Scope: Full time
Number of positions: 1
Closing date for application: 2024-11-27
Campus location: Västerås
School: School of Innovation, Design and Engineering, (IDT)



Eligibility
Access to third-cycle courses and study programmes at a higher education education as well as basic eligibility requirements and assessment criteria, are regulated in the Higher Education Ordinance chapter 7 §§ 34-41(SFS 1993:100). More information about third-cycle studies at MDU https://www.mdu.se/en/malardalen-university/education/third-cycle-studies

A full-time employment as a doctoral student is attached to this third-cycle studies which corresponds to four years.

Position description
We are loking for a highly motivated PhD student to contribute to the project "GANCOM: GAN-based Chaotic Modulation for Secure Wireless Communication." The aim of this project is to explore the use of Generative Adversarial Networks (GANs) to generate unpredictable chaotic signals for securing wireless communications. The PhD student will be actively involved in designing, conducting, and disseminating research focused on securing wireless communications.

The employment mainly involves doctoral studies where the candidate independently, but with support from a supervisor, will plan and conduct scientific studies. In addition, the student will be responsible for writing academic papers and completing the required coursework for the PhD degree. The position may also include up to 20% teaching or other departmental duties.

Qualifications

For basic eligibility, the following is required:

• A degree at an advanced level.
• At least 240 higher education credits, of which at least 60 are at an advanced level.
• Equivalent knowledge acquired in Sweden or abroad through other means.

Specific eligibility requirements for this position include having the following:

• a master's degree in computer science. Students with equivalent knowledge may also be admitted.

Assessment criteria
Prior to employment, consideration must be given to the ability to assimilate third-cycle courses and study programmes at a higher education.

For this position, particular attention will be paid to the following;

• Familiarity with machine learning algorithms, particularly Generative Adversarial Networks (GANs), as well as time series and sequence prediction methods like RNNs and LSTMs is highly desirable.
• Solid foundation in statistics and mathematics.
• Proficiency in programming languages, including Python and Matlab.
• Proficiency in English both written and spoken.
• Familiarity with chaotic systems is highly desirable.
• Basic understanding of electromagnetic waves and wireless communication systems is an advantage.
• Knowledge of security principles in computer networks is beneficial.
• Experience in writing scientific publications is a plus.

In an overall assessment of suitability, emphasis is also placed on personal abilities. All employees at MDU are expected to cooperate and treat colleagues and students with respect, take responsibility for the organisation and their own work duties and contribute to a positive work environment. For this position we are looking for you who have strong problem-solving skills and the ability to think critically. You are self-motivated and able to work independently while also contributing effectively in team settings. You also have adaptability and openness to learning new concepts and technologies as well as strong organizational skills.

We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization.

Application
Application is made online. Make your application by clicking the "Apply" button below.

The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.

We look forward to receiving your application.

Union representatives:

Saco-S saco-s@mdu.se
Susanne Meijer ST-OFR/S, tel: 021-10 14 89

We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.

Ersättning
Månadslön

Så ansöker du
Sista dag att ansöka är 2024-11-27
Klicka på denna länk för att göra din ansökan

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Mälardalens Universitet (org.nr 202100-2916), http://www.mdu.se

Arbetsplats
Mälardalens universitet

Kontakt
Head of division
Svetlana Girs
svetlana.girs@mdu.se
021-10 13 47

Jobbnummer
8997666

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