Study Plan/Motivation to the Program

To Whom It May Concern,

Doing a PhD is all about creating a fresh knowledge, making new discoveries, developing new skills and ideas. It is a degree meant for those who seek a greater depth of knowledge in a specific field of research. My study goal is to gain deeper knowledge within a particular specialized area of Physics. Having six years of education in the field of Physics, I have decided to further extend my education in the same field and apply for a Doctoral Degree in Physics. This degree will give me an in-depth knowledge of the specific field and pave my way for the future. It will polish my previous knowledge and further enlighten me with the field. Having sound knowledge in the field and from a reputable institution has its own impact. Therefore, I want to pursue a PhD in Physics in psi-k network. It seems the best possible chance for me to study further with your Research team. Studying will provide me with an opportunity to work on the projects and learn about new innovative ideas in the field. After completion of my PhD’s studies, I hope it will give me great help in my future career. I have plans to further extend my education and pursue a post-doctorate in the very same field. Getting a PhD’s degree from such an accredited institution will open ways for me to think about my future program and specialized field.

My Research Interests

 Medical Physics is a wide field, but I am interested to do specialization in any one of the following fields of Physics.

1. Data Analysis, Machine Learning, Deep Learning

2. Polarized Light Microscopy (PLM)

3. Medical Physics, Particle physics, Nano physics

On the basis of my final year project experience during my master’s degree, I would prefer to do specialization in PLS Data Analysis as my first priority. The final results of the experiments at Pieas are solely dependent on Data Analysis. I am one person who I like been productive, innovative and results oriented. Data science been an interdisciplinary field about processes and systems to extract knowledge or insights from PLM data in various forms, thus why I see data scientist career path it’s the perfect job match for me. And involving allot of technology to always produce good results. What really motivate me to be a data analysist, is the potential. On second priority I am interested to work in any field of Physic. What really motivate me to be actively involved in these projects is to unveil the mysteries of this beautiful universe that have not yet been described by the Standard Model. Various techniques are already available for cancer diagnosis, including, endoscopy, biopsy, optical imaging, and blood tests. For the cancer imaging the polarized light microscopy (PLM) is significant because it produces information very rich and untapped biophysical information content. Polarized light microscopy for imaging and express the human breast cancer. Used a robust implementation, simple of (PLM) to determine the basic result of grade 3 medullary carcinoma assessment. The PLM is essentially bright-field microscopy, processing times, enable rapid imaging and implement in expensive and strong optical instrument. The vast information content of MM, it provides several useful metrics that can be used to study tissue.

The objectives of the study are to:

1. To develop a technology in future to detect the breast cancer.

2. To propose a unique and simple method polarized light using to study the breast cancer for future.

3. To Calculate the degree of polarization to separate the cancer sample and healthy section during diagnosis.

4. To show that the polarized light scattering inside the breast sample (biological tissues) is sensitive to the presence of cancer cell

My Education Background

I had completed my Master (M.Phil.) from Pieas University Pakistan. I have done my work under the supervision of Dr. Saleh Muhammad and co-supervision of Prof. Dr. Bakht Amin Bacha. My M.Phil. Dissertation is entitled “Polarized light spectroscopy for the diagnosis of medullary carcinoma in breast ”. My research was mainly focused on the Experimental setup. polarized light microscopy for diagnosis, PLM is the ability to image, extract the measurement geometry not depending quantitative morphology metrics that they are related to alignment of invasive, the stromal density and non-invasive breast carcinoma biological tissues.

I want to utilize my talent, but financial constraints obstruct in my way of doing so. I see this opportunity as a Golden one and I will be happy to provide any additional information you may need.

Best regards,

Name: Jawad khan

Department of Physics,

Hazara University Mansehra, Pakistan

Email: [email protected]

Subject: Application for a Master thesis followed by PhD in nanoparticle simulations assisted by machine-learning

To whom it may concern,

I currently hold a master's degree in physical sciences in the field of materials science, where I spent almost six years studying various areas of physics, mathematical techniques for the physical sciences, chemistry and computer science. I'm preparing to enroll in a doctoral thesis in order to deepen the foundations I have learned and strengthen my introduction to scientific research.

I wish to pursue my research in any branch of physics, but with a certain affection for two key areas of physics.

1. Computational physics (data analysis, machine learning), which in my opinion is the future of modern physics, because it allows us to involve the computer more in the search for solutions to the various physical problems we encounter every day. The immediate effect of this is to reduce human effort in the search for analytical solutions and to concentrate more on exploiting the results and their meanings.

2. Particle physics: knowledge of the universe in its entirety remains a mystery, because mankind has not yet come to grips with what actually constitutes this matter, made up of tiny particles called atoms, which in turn are made up of protons, neutrons and electrons, the understanding of which remains incomplete to this day. This is an extremely important branch of research, with connections all the way down to nanotechnology.

Indeed, fascinated by computer science, during my academic career, I studied algorithms and programming, particularly in C, Python, Fortran and other languages. This has given me a solid grounding and knowledge of algorithms and numerical methods. One of my aims is to make a contribution to science by developing algorithms and, why not, software capable of facilitating scientific calculation in the field of physics, and I'm keen to put to good use the potential that's bubbling up inside me but financial constraints obstruct in my way of doing so.

Now, the content of your doctoral project is in line with my research and professional project. However, aware of the fact that I do not yet have enough experience in the various fields that will surely be addressed during this project, aware also of the great challenge that will be mine in order to prove myself worthy of your institution, I can assure you that I am a highly motivated and talented candidate who has a good learning speed, and that I will not take long to adapt and to fill very quickly a possible gap that could exist between your institution and me.

As proof of my motivation and hunger for knowledge, I have no objection if it turns out that I take up the Master's course with you as mentioned in the advertisement in order to expand my knowledge, as I firmly believe that if you give me this opportunity, I will become an excellent asset to your research group.

Convinced that a cover letter cannot fully reveal our skills and personality, I can assure you that I can be an excellent asset who can accompany you throughout this project. This opportunity is a golden one for me and I am at your disposal to explain my motivation in more detail or to provide any additional information.

I hope that you will give a positive answer to my application and I ask you to believe, Sir, in the assurance of my distinguished consideration.

Mohamed Abdounour MOULIOM PAGNA

Department of physics

University of Yaounde 1, Cameroon

Email : [email protected]

Dear Dr. Julien Lam,

I am writing to express my strong interest in the research internship opportunity focused on "Nanocrystal Formation Mechanisms and Machine-Learning Applications" at the Université de Lille. . As a recent graduate from the School of Basic and Applied Sciences at Central University of Tamil Nadu, with a solid foundation in computational physics and a passion for using Machine learning in material discovery, I am enthusiastic about the prospect of contributing to your research in this fascinating field.

During my time as an integrated Master of Science student in physics, a course in numerical techniques with C programming sparked my interest in computational physics, and this interest was further strengthened by attending an Indo-Norway Workshop on Functional Materials for Energy Technology (FMET-2019), where I had the opportunity of observing the pioneering research of the esteemed Professor P. Ravindran. His impactful lectures ignited my interest in computational solid-state physics, leading me to pursue my Master's project under his guidance. My thesis project was titled "First Principle Study of Sn doped V2O5 as Cathode Material for Magnesium Batteries." The main objective of my research was to find a cost-effective alternative for lithium-ion battery. Through this project, I honed my skills in Density Functional Theory (DFT) calculations using the Vienna Ab initio Simulation Package (VASP) code and gained insights into the realm of material behavior. Additionally I had an opportunity to use high performance supercomputers, both CPU and GPU based like the NVIDIA-dgx-1 supercomputer.

During my project work, I came to understand the importance of Artificial Intelligence in material discovery. My interest in AI prompted me to join as a research assistant at the "Simulation Center for Atomic and Nanoscale Materials" (SCANMAT) at Central University of Tamil Nadu. I worked on accelerated material discovery using Machine Learning and Deep Learning modeling. My research focused on integrating DFT with various Machine learning algorithms including Convolutional Neural Networks (CGN), and Deep Neural Networks (DNN). I extensively worked with databases like Materials Project, Aflow, OQMD, and Citrination Informatics, as well as the execution of feature selection algorithms and hyperparameter tuning to optimize model accuracy. The recent use of data-driven machine learning (ML) has revolutionized the process of materials design and discovery. 

The research overview you provided regarding the mechanisms of nanocrystal formation, encompassing nucleation to crystal growth, is both intriguing and challenging. Moreover, the integration of machine-learning approaches to enhance the precision and scope of these simulations, aligning them with experimental measurements, represents a cutting-edge and exciting frontier in materials science. I am particularly drawn to the prospect of working under your guidance. I am excited about the interdisciplinary nature of this programme, as it encompasses molecular quantum mechanics, statistical physics, machine learning, material science, and computer programming, providing a well-rounded and immersive experience. Furthermore, the opportunity to potentially transition into a PhD program starting in Fall 2024, is an appealing prospect for me. This aligns perfectly with my long-term academic and research aspirations in the field of computational material science and machine learning.

In conclusion, I believe that my academic background, research experience, and dedication to interdisciplinary exploration make me a strong candidate for this research internship. I am confident that I can contribute meaningfully to your research objectives and thrive in this intellectually stimulating environment. If given the opportunity, I am eager to join your team and embark on this exciting research journey.

Thank you for considering my application. I look forward to the possibility of discussing my qualifications and potential contributions in greater detail.

Sincerely yours

Aasif Majeed

Central University of Tamil Nadu, India

Email: [email protected]