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The Innovative Doctoral Education Ecosystem for Photonics (I-DEEP) is looking for Doctoral Researchers
The doctoral pilot programme Innovative Doctoral Education Ecosystem for Photonics I-DEEP is coordinated by Tampere University and gathers together all Finnish universities with research activities in light-based technologies. The I-DEEP consortium is part of the Flagship for Photonics Research and Innovation PREIN which is a leading international photonics research hub dedicated to light-based technologies. www.prein.fi
Job description
We are looking for 5 Doctoral Researchers in I-DEEP, in the area of photonics at Tampere University.
Successful candidates will pursue a doctoral degree at Tampere University which is expected to be completed in three years.
Requirements
To qualify for these positions, the candidates need to have a Master’s degree (or equivalent eligibility for doctoral studies) from an applicable field (preferably in physics and for some positions, also electrical engineering, chemistry, materials science or others may be considered) completed on 31 October 2024, at the latest (see doctoral study right requirement below). In addition, you should have demonstrated (during your studies towards the Master’s degree or otherwise) the competence and motivation to pursue postgraduate studies. Please be prepared to provide proof of your merits when requested.
If you already have a study right for a doctoral degree at Tampere University, it needs to be awarded earliest on 1 November 2023 or thereafter in order for you to be eligible for these positions.
The position requires working full-time in Tampere, Finland for the time of the employment. The chosen candidate needs to have the required permits for working in Finland before starting the employment (depending on the nationality of the candidate, e.g. residence permit in Finland).
The position requires fluent written and spoken skills in English.
The research topics are:
3) All-optical (AO) Neural Networks
Description: Develop rigorous diffraction (forward) models to accurately simulate the interaction of light with linear diffraction layers (LDL) and non-linear activation layers (NLAL); Derive backpropagation relations to complete an all-optical deep learning framework to optimize LDL and NLAL parameters; Fabricate LDL phase masks and NLALs and demonstrate the performance of AONN on computer vision application cases.
6) Advanced Micro-Assembly Techiques in Photonic Integration
Description: This project aims to advance the technology and applications of photonic integrated circuits. The goals are to prepare photonic integrated circuits, automate microassembly of optical fibers to polymer waveguides, and integrate the developed techniques into existing manufacturing processes.
9) Nonperturbative Nonlinear optics Effects in Exotic Materials
Description: The aim of this project is to develop a new set of theoretical tools, based on field-theoretical concepts and nonlinear electrodynamics models beyond Maxwell’s equations, to provide a comprehensive description of nonperturbative nonlinear classical and quantum optics effects occurring in exotic materials, such as 2D, epsilon-near-zero materials and metamaterials, for which the traditional approach of perturbative nonlinear optics (i.e., susceptibility) fails to give a rigorous description of nonlinear light-matter interaction in such materials.
19) Photon imaging in extreme conditions
Description: We consider the analysis and modeling of imaging degradations such as noise and bias encountered at the boundary of the operating envelope of scanning microscopes (e.g., confocal microscopy, X-ray microtomography, etc.) and other scientific and medical imagers (e.g., limited-angle digital breast tomosynthesis systems). Particular emphasis is placed on extreme cases of 1) ultra-low signal-to-noise ratio; 2) ultra-low dynamic range; 3) long-range noise correlation. The research aims to provide models that can assist the characterization, analysis, and enhancement of images to ultimately extend the applicability of the devices and improve their performance.
20) Image restoration, synthesis and transformations for biomedical applications
Description: Cardiovascular diseases account for 31% of global deaths and costs over $1T by 2035. Diagnosis of such diseases is performed by medical doctors assisted by signal analysis as the primary decision-making tool. The objective is to develop novel Generative AI decision-making tools for the purpose of biomedical signal restoration, synthesis, and transformation applications. Raw sensorial data is often noisy, scarce and expensive. The problem is addressed as a blind restoration and the results allow doctors to perform accurate diagnosis. Large data is costly to produce but needed for model training. Hence, the second objective is to synthesise large-scale bio-signals. Finally, high quality bio-signals are rather expensive to produce. Therefore, our objective is to design virtual machines to transform lower resolution into higher resolution data. We train one doctoral student to develop novel Generative AI models and work closely with medical doctors to validate the proposed approaches.
The selection criteria
Candidates are selected based on the level of promise that they show, and this will be evaluated on the basis of their application, their previous success in studies, relevant work experience and merits in academic writing and/or scientific publishing.
We offer
The position will be filled for a fixed-term period of three years. The starting date is 1 August 2024 or 1 January 2025. A trial period of six (6) months applies to all our new employees.
The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. A typical starting salary for Doctoral Researchers is approximately 2,700 EUR/month. The salary increases based on experience and the progress of doctoral studies.
We are inviting you to be a part of a vibrant, active and truly international research community. We value interdisciplinarity, as it allows you to expand your research network and exposes you to new perspectives and ideas to solve complex research problems and pursue novel research findings. We are strongly committed to the highest level of scientific research and the provision of high-quality doctoral education.
As a member of staff at Tampere University, you will enjoy a range of competitive benefits, such as occupational health care services, flexible work schedule, versatile research infrastructure, modern teaching facilities and a safe and inviting campus area, a variety of affordable cafeterias/ campus restaurants on our campuses as well as a personal fund to spend on sports and cultural activities in your free time. Please read more about working at Tampere University. You can also find more information about us and working and living Tampere by watching our video: Tampere Higher Education Community - our academic playground.
Finland is among the most stable, free and safest countries in the world, based on prominent ratings by various agencies. Finland is one of the world's best countries to work and live in.
Tampere is the largest inland city of Finland, and the city is counted among the major academic hubs in the Nordic countries. Tampere region is the most rapidly growing urban area in Finland and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a center of Finland’s information society. Tampere is also surrounded by vivid nature with forests and lakes, providing countless opportunities for easy-to-access outdoor adventures and refreshment throughout the year.
We will offer you relocation service package from an external service provider to help you settle in Tampere.
Read more about Finland and Tampere:
How to apply
Please submit your application through our online recruitment system. The closing date for applications is Thursday 23 May 2024 (at 23:59 EEST / UTC +3).
Please write your application and all the accompanying documentation in English and attach them in PDF format.
In the application form, please specify which research topic/project you are primarily interested in and whether you would also be interested in the other topics/projects in this call.
Indicate your possible starting date in your application (either 1 August 2024 or 1 January 2025). Please note that other starting dates are not possible within this call.
Please attach only the following documents to your application:
For further information, please contact:
Professor, Goëry Genty I-DEEP Director, goery.genty(at) tuni.fi
Application period starts: 2024-05-07 09:30 Application period ends: 2024-05-23 23:59
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