فرصت دکتری در پاریس - فرانسه

[susighton]

دوستان این فرصت در پاریس برای دکتری با فاند سه ساله CNRS است. موضوع آن هم

Forms of research valorization and dissemination

است که در

Le Centre de sociologie de l’innovation (CSI) de Mines ParisTech, Université PSL

(مرکز جامعه شناسی نوآوری )

برگزار میشود و برای بچه های ارشد خوانده رشته های

STS, sociology, political science, anthropology, philosophy, economics, management or similar disciplines

مناسب است.

باید زبان فرانسه خوب بلد باشید و ارسال تقاضا هم خیلی اسان است.

فرم پذیرش اینجاست

http://www.csi.mines-paristech.fr/wp...19_themeEn.pdf


این مدارک را همه در یک .pdf جمع آوری کنید

• a cover letter;
• an academic curriculum vitae;
• examples of academic production (articles, theses);
• letters of recommendation.

و برای

Alexandre Mallard and Catherine Lucas

بفرستید

لینک اصلی اکهی هم اینجاست

http://www.csi.mines-paristech.fr/en...-phd-thematic/


موفق و پایدار باشید

[pitbullirani]

موقعیت دکتری با فاند سه ساله
کشور فرانسه
تخصص یادگیری عمیق برای مدلشازی سیستمهای فیزیکی


Fully-funded PhD position in Paris : Deep Learning for modelling of physical systems


Contacts:


Alexandre Allauzen: alexandre.allauzen@dauphine.psl.eu
Sergio Chibbaro: sergio.chibbaro@sorbonne-universite.fr




This is a 3-year position funded by the ANR project SPEED and it will
start next fall (as soon as possible). The whole project is a
collaboration between the IJLRA, the LAMSADE and the new LISN labs.
Frequent scientific discussions and meetings are planed with many
students working in this project.


The interaction between machine learning and Physics has recently
emerged as a new and important research area. Some illustrations are
simulations of complex physical systems with machine learning models,
or at the opposite, the introduction of numerical methods in machine
learning.


At the interfaces of AI and Physics, different tracks can be
explored depending on the skills of the candidate:


- Noisy, scarce and partial observations of physical systems.
- Training algorithm to enforce physical properties.
- Interaction between the machine learning model and the physical
systems
- Dealing with chaoticity

[pitbullirani]

موقعیت دکتری با فاند سه ساله
فرانسه


Fully-funded PhD position: Stability of Transformers for computer vision applications
This is a 3-year PhD position, funded by Foxstream, a software company
(since 2004), specialized in real-time automated processing of video
content analysis. The PhD thesis is a collaboration with Dauphine
Université (the MILES team of the LAMSADE) with a join supervision
(Quentin Barthélemy from Foxstream and Alexandre Allauzen from MILES).
The PhD student will be located at Paris-Dauphine University in close
relationships with Foxstream.


For a couple of decades, Deep Learning (DL) added a huge boost to the
already rapidly developing field of computer vision. While for some
kind of data and tasks, DL is the most successful approach, this is
not the case for all applications. For instance, the analysis of video
streams generated by thermal cameras is still a research challenge
because of the long range perimeter, the depth of focus and the
associated geometrical issues, along with the frequent calibration
change. Therefore, the stability and robustness of DL models must be
better characterized and improved.


Very recently, Transformer architectures have achieved state of the
art performances in many domains: from natural language processing to
computer vision. In this thesis we will explore the use of Tranformers
for videos generated by thermal cameras and their properties.


From a theoritical and application perspectives, the goals are to
explore the stability of such architectures, the robustness against
adversarial examples, and what kind of invariances and symetries can
be captured.


Requirements:
- Outstanding master's degree (or an equivalent university degree) in
computer science or another related disciplines (as e.g. mathematics,
information sciences, computer engineering, etc.).
- Proficiency in machine learning, computer vision, or signal
processing.
- Fluency in spoken and written English is required.


Application:
To apply, please email alexandre.allauzen [at] dauphine.psl.eu with:
- a curriculum vitae, with contact of 2 or more referees
- a cover letter
- a research outcome (e.g. master thesis and/or published papers) of
the candidate
- a transcript of grades

[f_n_k]

سلام
با مدرک زبان فرانسه هم می شه درخواست داد؟

[pitbullirani]

موقعیت پستداک کشور‌فرانسه
DL, Domain Adaptation, Multi-Modal Representations






A Postdoc position is open at University of Strasbourg (ICube lab) - France to start before November 2021
Deep Learning, Domain Adaptation, Multi-Modal Representations
The position will be funded for two years (initially for one year, renewable for an additional year). The candidate will join the SDC research team under the supervision of Dr Thomas Lampert, the Chair of Data Science and Artificial Intelligence, and join his international team of PhD students and engineer to develop novel deep learning approaches to domain invariant representation learning (particularly in multi-modal data), with application (but not restricted) to Medical Imaging and Remote Sensing. The funding is not connected to a particular project, so it is the perfect opportunity for a strong candidate to explore new directions under the supervision of the Chair.
The successful candidate will have (or will soon obtain) a PhD in computer science or related domain and have experience in deep learning and applied machine learning and a strong level of written and spoken English. Experience with transformers, GANs, autoencoders, and/or unsupervised/self-supervised DL (autoencoders, etc) would be a plus. You will join a growing team and will have the freedom to follow your interests in a direction complementary to the abovementioned research focusses. You will be expected to target leading outlets in the field of machine learning and a strong track record in CVPR/ICCV/ECCV, NIPS/ICML/ICLR, or PAMI/IJCV/TIP. Candidates who are able to carry out the highest quality research independently, to co-supervise PhD students, and to give their input on a number of projects being carried out in the team are pursued. You will have access to state-of-the-art hardware for deep learning.
Send a letter of motivation, your CV, and an example publication to Thomas Lamper and Gisèle Burgart (l1ampert@uni2stra.fr and g1burgart@uni2stra.fr - !remove the numbers!) with the subject beginning with [Chaire Postdoc].
The position will remain open until a suitable candidate is found and the starting date will be agreed upon with the successful candidate but will be no later than 1st November 2021.
Detailed Description: https://seafile.unistra.fr/f/8c723d6a74834196b1aa/?dl=1

[pitbullirani]

سلام
با مدرک زبان فرانسه هم می شه درخواست داد؟

بهترین کار اینه بهشون ایمیل بزنید. من فقط میذارم از جزییات خبر ندارم