اگر خبر زیر و افزایش هزینه آزادسازی مدرک واقعیت داشته باشد، ازین پس انتخاب دانشگاه آزاد برای #اپلای احتمالن مقرون به صرفه تر خواهد بود.
______________
افزایش ۵.۸ برابری تعرفه آزادسازی مدارک لیسانس و ارشد.
با یک حساب و کتاب ساده، آزادسازی مدرک لیسانس برای دانشجویان ایرانی که در دانشگاه دولتی درس خوانده اند و سهمیه کنکور آنها منطقه ۲ یا ۳ بوده است ، به ۱۰۰ میلیون رسید و برای دانشجویان منطقه ۱ به ۵۰ !!
برای ۴ ترم ارشد نیز آزادسازی مدارک به حوالی ۵۰ میلیون رسید که در صورت ۵ ترمه شدن این عدد به ۶۵ میلیون هم می رسد.
بدین ترتیب برای خروج از ایران در مقطع دکتری شما به بودجه ای در حد ۱۰۰ تا ۱۷۰ میلیون صرفا برای لغو تعهد آموزش رایگان، نیاز خواهید داشت ، هزینه ای که تا هفته پیش ۲۵ تا ۳۰ تومن بود
درس خواندن در دانشگاه آزاد به صرفه تر خواهد بود.
______________
افزایش ۵.۸ برابری تعرفه آزادسازی مدارک لیسانس و ارشد.
با یک حساب و کتاب ساده، آزادسازی مدرک لیسانس برای دانشجویان ایرانی که در دانشگاه دولتی درس خوانده اند و سهمیه کنکور آنها منطقه ۲ یا ۳ بوده است ، به ۱۰۰ میلیون رسید و برای دانشجویان منطقه ۱ به ۵۰ !!
برای ۴ ترم ارشد نیز آزادسازی مدارک به حوالی ۵۰ میلیون رسید که در صورت ۵ ترمه شدن این عدد به ۶۵ میلیون هم می رسد.
بدین ترتیب برای خروج از ایران در مقطع دکتری شما به بودجه ای در حد ۱۰۰ تا ۱۷۰ میلیون صرفا برای لغو تعهد آموزش رایگان، نیاز خواهید داشت ، هزینه ای که تا هفته پیش ۲۵ تا ۳۰ تومن بود
درس خواندن در دانشگاه آزاد به صرفه تر خواهد بود.
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تنها بودن در مقابل احساس تنهایی کردن
پنج تا هشت موقعیت دکتری هوش مصنوعی
زوریخ
اروپا
The ETH AI Center promotes trustworthy, accessible, and inclusive AI systems. For this goal, we bring together interdisciplinary research teams of AI foundations, applications, and implications across all departments and look at AI from many different angles like mathematical principles, medicine, architecture, robotics, and social sciences/future of work. We enable research of high quality, industry innovation, and AI entrepreneurship.
The ETH AI Center faculty comprises over 110 professorships representing all sixteen departments of ETH Zurich and five external research groups (from the University of Zurich and the University of St.Gallen). The ETH AI Center Fellowship program is one of Europe’s premier PhD programs focused on advancing interdisciplinary AI research. This can be inside AI foundations or between AI foundations and application areas. Fellows work with two excellent PIs who are from different fields and carry equal weights in the supervision.
Job description
Within the doctoral fellowship program, you will conduct research that impacts the future of AI. You will be working on your project (that you will propose) and continuously have the opportunity to exchange with other teams and professorships, participate at faculty retreats, symposia, summits etc. Fellows have their primary office at the ETH AI Center and enjoy excellent employment conditions. The centre offers plenty of opportunities to strengthen your career path through an optional entrepreneurial or industry track that provides you with valuable hands-on experience to turn your research into practical impact.
Your profile
• you are expected to have completed or be close to completing a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields or are close to completion.
• you have an excellent track record and must meet the general admission requirements for a doctorate at ETH Zurich (available at https://www.ethz.ch/en/doctorate.html).
• your level of English allows you to discuss your topics with your colleagues and report your findings in writing.
• you look forward to working with an interdisciplinary team that longs to find solutions together.
We offer
We offer 5 - 8 doctoral positions and the occupation normally runs for three years. For Fellows with good progress, it can be extended for a maximum of one year to complete the doctoral thesis (decision to be taken by the ETH AI Center Doctoral Selection Committee, without additional interviews). Starting date is flexible.
• Transparent salary: CHF 70,300 in the first year, CHF 75,300 in the second year, and CHF 80,320 in the third year. The advancements are automatic.
• Co-mentorship by two excellent PIs from different fields
• training and continuing education activities and language courses
• services and offerings to support work and family life
How to apply
The deadline for applications is November 30, 2022. Please note that we exclusively accept applications submitted through our online application portal. Applications via LinkedIn will not be considered. Learn more and apply: https://ai.ethz.ch/apply
We value diversity
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
زوریخ
اروپا
The ETH AI Center promotes trustworthy, accessible, and inclusive AI systems. For this goal, we bring together interdisciplinary research teams of AI foundations, applications, and implications across all departments and look at AI from many different angles like mathematical principles, medicine, architecture, robotics, and social sciences/future of work. We enable research of high quality, industry innovation, and AI entrepreneurship.
The ETH AI Center faculty comprises over 110 professorships representing all sixteen departments of ETH Zurich and five external research groups (from the University of Zurich and the University of St.Gallen). The ETH AI Center Fellowship program is one of Europe’s premier PhD programs focused on advancing interdisciplinary AI research. This can be inside AI foundations or between AI foundations and application areas. Fellows work with two excellent PIs who are from different fields and carry equal weights in the supervision.
Job description
Within the doctoral fellowship program, you will conduct research that impacts the future of AI. You will be working on your project (that you will propose) and continuously have the opportunity to exchange with other teams and professorships, participate at faculty retreats, symposia, summits etc. Fellows have their primary office at the ETH AI Center and enjoy excellent employment conditions. The centre offers plenty of opportunities to strengthen your career path through an optional entrepreneurial or industry track that provides you with valuable hands-on experience to turn your research into practical impact.
Your profile
• you are expected to have completed or be close to completing a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields or are close to completion.
• you have an excellent track record and must meet the general admission requirements for a doctorate at ETH Zurich (available at https://www.ethz.ch/en/doctorate.html).
• your level of English allows you to discuss your topics with your colleagues and report your findings in writing.
• you look forward to working with an interdisciplinary team that longs to find solutions together.
We offer
We offer 5 - 8 doctoral positions and the occupation normally runs for three years. For Fellows with good progress, it can be extended for a maximum of one year to complete the doctoral thesis (decision to be taken by the ETH AI Center Doctoral Selection Committee, without additional interviews). Starting date is flexible.
• Transparent salary: CHF 70,300 in the first year, CHF 75,300 in the second year, and CHF 80,320 in the third year. The advancements are automatic.
• Co-mentorship by two excellent PIs from different fields
• training and continuing education activities and language courses
• services and offerings to support work and family life
How to apply
The deadline for applications is November 30, 2022. Please note that we exclusively accept applications submitted through our online application portal. Applications via LinkedIn will not be considered. Learn more and apply: https://ai.ethz.ch/apply
We value diversity
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
ETH Zurich
Doctorate
موقعیت دکتری اروپا
the university hospital in Amsterdam we are looking for a PhD candidate to work on the crucial problem of Out-Of-Distribution detection on medical AI applications. Medical data is particularly prone to shifts and changes, thus it is paramount to be able to tell when a prediction model is reliable, especially after deployment.
The position is fully funded, benefits from the excellent working conditions of Dutch university hospitals, will have access to great data and has a clear path to influence real-world applications!
Are you interested or know someone that might be? All details can be found in the vacancy below, please feel free to reach out for questions (contact info in the vacancy) and share this post with whoever you think might be suitable.
Vacancy: https://werkenbij.amsterdamumc.org/en/vacatures/research/phd-out-of-distribution-detection-for-medical-ai
Giovanni Cinà
Assistant Professor in Medical AI at the Amsterdam University Medical Center and University of Amsterdam | Research Lead at Pacmed
the university hospital in Amsterdam we are looking for a PhD candidate to work on the crucial problem of Out-Of-Distribution detection on medical AI applications. Medical data is particularly prone to shifts and changes, thus it is paramount to be able to tell when a prediction model is reliable, especially after deployment.
The position is fully funded, benefits from the excellent working conditions of Dutch university hospitals, will have access to great data and has a clear path to influence real-world applications!
Are you interested or know someone that might be? All details can be found in the vacancy below, please feel free to reach out for questions (contact info in the vacancy) and share this post with whoever you think might be suitable.
Vacancy: https://werkenbij.amsterdamumc.org/en/vacatures/research/phd-out-of-distribution-detection-for-medical-ai
Giovanni Cinà
Assistant Professor in Medical AI at the Amsterdam University Medical Center and University of Amsterdam | Research Lead at Pacmed
Forwarded from پیشنهادهایی برای #اپلای #applyabroad
بنیاد SheCode برای حمایت از استقلال زنان ایرانی حدود 10 هزار نفر زن رو بورسیه میکنه. اگر زنی در اطرافتون هست که فکر میکنید بدردش میخوره بهش بگید.
پ.ن: از این لینک اقدام کنید:
http://Shecodesfoundation.org/iran
#مهسا_امینی
#MahsaAmini
پ.ن: از این لینک اقدام کنید:
http://Shecodesfoundation.org/iran
#مهسا_امینی
#MahsaAmini
Radio Marz - Episode 47
Radio Marz
پادکست رادیو مرز
قسمت چهل و هفتم: بعد از گشت ارشاد
روایت بازداشت شدن توسط گشت ارشاد و فاصله‌ای که این تجربه بین دختران و والدینشان به وجود می‌آورد.
موسیقی تیتراژ: گروه کلی
قسمت چهل و هفتم: بعد از گشت ارشاد
روایت بازداشت شدن توسط گشت ارشاد و فاصله‌ای که این تجربه بین دختران و والدینشان به وجود می‌آورد.
موسیقی تیتراژ: گروه کلی
موقعیت دکتری
اروپا
looking for excellent and highly motivated PhD students to join the Scalable Machine Learning group in the Department of Computer Science, Ruhr University Bochum.
As a PhD student, you will work on developing state-of-the-art machine learning models that can scale while being energy-efficient. These models will be based on core design principles of sparsity and asynchrony and take inspiration from biology/neuroscience. The work will be done in collaboration with academic and industry groups that develop biology-inspired low-energy neuromorphic hardware.
The appointment will be for three years, starting as soon as possible. Salary is 75% of salary scale TV-L E13.
We offer:
- An attractive interdisciplinary environment in Machine Learning / Artificial Intelligence.
- Room to develop your own ideas in the project.
- Opportunity to collaborate with international industry and university partners.
- Infrastructure to integrate well into the institute and the group.
- Opportunity to do a PhD (Dr).
Candidates for this post should possess the following:
- A very good Masters's degree in mathematics, computer science, engineering, or a related field.
- Excellent programming skills (Python preferably).
- Good knowledge of applied mathematics and computer science.
- Ability to learn quickly and work independently, as well as in a team.
Preferred qualifications include:
- Interest in interdisciplinary research questions and cooperation.
- Hands-on/research experience with deep learning.
- Experience with machine learning frameworks such as PyTorch/Tensorflow/JAX.
- Good communication and teamwork skills.
- Experience or willingness to collaborate with a wide variety of interdisciplinary partners.
How to apply:
Applications should be sent as a single pdf file to anand.subramoney@ini.rub.de and should include the following:
- Email subject line: "PhD application: Efficient ML"
- CV with contact information for two references
- transcript of records for MSc and BSc
- a statement of purpose describing your research interests and why you think you are a good fit for this position
- Application deadline: 12th of December
Address informal enquiries to anand.subramoney@ini.rub.de or david.kappel@ini.rub.de.
Travel expenses for interviews will not be refunded.
Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We, therefore, look forward to applications from qualified women. Applications from appropriately qualified disabled persons are also encouraged.
More details are available at:
https://jobs.ruhr-uni-bochum.de/jobposting/0054a35fae97508f06fe9a95773b5e6d0545e3c50?ref=homepage
اروپا
looking for excellent and highly motivated PhD students to join the Scalable Machine Learning group in the Department of Computer Science, Ruhr University Bochum.
As a PhD student, you will work on developing state-of-the-art machine learning models that can scale while being energy-efficient. These models will be based on core design principles of sparsity and asynchrony and take inspiration from biology/neuroscience. The work will be done in collaboration with academic and industry groups that develop biology-inspired low-energy neuromorphic hardware.
The appointment will be for three years, starting as soon as possible. Salary is 75% of salary scale TV-L E13.
We offer:
- An attractive interdisciplinary environment in Machine Learning / Artificial Intelligence.
- Room to develop your own ideas in the project.
- Opportunity to collaborate with international industry and university partners.
- Infrastructure to integrate well into the institute and the group.
- Opportunity to do a PhD (Dr).
Candidates for this post should possess the following:
- A very good Masters's degree in mathematics, computer science, engineering, or a related field.
- Excellent programming skills (Python preferably).
- Good knowledge of applied mathematics and computer science.
- Ability to learn quickly and work independently, as well as in a team.
Preferred qualifications include:
- Interest in interdisciplinary research questions and cooperation.
- Hands-on/research experience with deep learning.
- Experience with machine learning frameworks such as PyTorch/Tensorflow/JAX.
- Good communication and teamwork skills.
- Experience or willingness to collaborate with a wide variety of interdisciplinary partners.
How to apply:
Applications should be sent as a single pdf file to anand.subramoney@ini.rub.de and should include the following:
- Email subject line: "PhD application: Efficient ML"
- CV with contact information for two references
- transcript of records for MSc and BSc
- a statement of purpose describing your research interests and why you think you are a good fit for this position
- Application deadline: 12th of December
Address informal enquiries to anand.subramoney@ini.rub.de or david.kappel@ini.rub.de.
Travel expenses for interviews will not be refunded.
Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We, therefore, look forward to applications from qualified women. Applications from appropriately qualified disabled persons are also encouraged.
More details are available at:
https://jobs.ruhr-uni-bochum.de/jobposting/0054a35fae97508f06fe9a95773b5e6d0545e3c50?ref=homepage
پیشنهادهایی برای #اپلای #applyabroad
اگر خبر زیر و افزایش هزینه آزادسازی مدرک واقعیت داشته باشد، ازین پس انتخاب دانشگاه آزاد برای #اپلای احتمالن مقرون به صرفه تر خواهد بود. ______________ افزایش ۵.۸ برابری تعرفه آزادسازی مدارک لیسانس و ارشد. با یک حساب و کتاب ساده، آزادسازی مدرک لیسانس برای دانشجویان…
درراستای کمک به عزیزانی که با افزایش هزینه آزادسازی مدرک پروسه اپلایشون با مشکل روبرو شده، لیستی تهیه کردند از دانشگاههایی که برای #اپلای نیاز به #آزادسازی مدرک ندارند
اطلاعات بیشتر:
https://docs.google.com/spreadsheets/d/1eNmBEKhO9KOYJ8_PeHj-ihff35Em-U46bd-5-hfDqO4/edit
اطلاعات بیشتر:
https://docs.google.com/spreadsheets/d/1eNmBEKhO9KOYJ8_PeHj-ihff35Em-U46bd-5-hfDqO4/edit
سی و سه دانشگاه آمریکا که هزینه اپلیکیشن فی ندارند یا با درخواست شما حذف میکنند
40 Universities in the US with no application fee, and application fee waivers (in terms of forms, codes and virtual open houses) for the next academic session (2023).
Kindly share for maximum reach.
1. American University (Undergraduate)
https://t.co/BBQV6Nmneh
2. Arizona State University - Undergraduate
https://t.co/ne0lAnVWRc.
3. Aquinas College
https://t.co/Vwz2HGgwVA
4. Boston University
https://t.co/sAXtFcEIod.
5. Central Michigan University - Application Fee Waiver Code for undergraduate - FireUp2023
https://t.co/keRHHcBnKF
6. Cornell University, USA
https://t.co/0j6TEPLLDj
7. Dartmouth College
https://t.co/SRJAjVzpAz
8. Illinois Wesleyan University
https://t.co/s8VUF0ys7J
9. Indiana State University
https://t.co/bH6zC33gZ3
10. Michigan Technological University (No Application Fee)
https://t.co/6SkgvETiO5
11. Miami University (Waiver for undergraduate)
https://t.co/T9tIH2onuw.
12. Northeastern University
Application Fee waiver code = KGNUApply2023
https://t.co/6i1JS3fTsx
13. St. Mary’s University
https://t.co/P2vfJxsoxX
14. Southern Illinois University - Application Fee Waiver Code for undergraduate - FREEAPP - Ending Oct 31
https://t.co/h7y9obXaYu
15. Southwestern University (No Application Fee)
https://t.co/CAjTS0wxOv
16. The University of New Orleans
https://t.co/p0wHHd5BB7
17. University of Southern Maine (No Application Fee)
https://t.co/b5YEmWvBsB
18. University of Dayton (No Application Fee)
https://t.co/UQ82diUSF1
19. University of New Haven, USA - Undergraduate
https://t.co/HpLOjqqPwf
20. University of Illinois, Springfield Application Fee Waiver.
https://t.co/TuQtR8ECwg
21. University of Rochester, USA - Form
https://t.co/TezttrhidS
22. University of Lynchburg
Apply for 2023 - No Application Fee
https://t.co/4ThFllHq3r
23. University of St. Thomas, Minnesota (No Application FEE)
https://t.co/dv3aL2ZmX7
24. Wellesley College, Massachusetts
https://t.co/GLNZdHlDLi!
25.Worchester Polytechnic Institute - No Application fee for undergraduate
https://t.co/ZA4S0CDcGP
26. Virginia Polytechnic Institute and State University.
https://t.co/IPed1nKyPn
Application Fee Waiver By Attending Virtual Open House
27. Clemson University, SC, USA - No Application Fee for Applicants for Summer 2023 and beyond
https://t.co/LOSWhl2ZZV.
28. Northern Arizona University, AZ, USA
Application Fee Waiver code
https://t.co/3OOFJ2G7rX
29. Marquette University - Application Fee waiver (Virtual Open House)
https://t.co/ASo9B51dAd
30. Rice University, TX, US
Coffee Chats with Rice University! - Application Fee Waiver
https://t.co/6XlIKrTtqt
31. Rider University
Undergraduate Open House -Nov 11 and 13
https://t.co/3htjyQrsWA
32. SUNY (The State University of New York)
Two-Week No-Fee Application Period - Ends Nov 6, 2022
33. University of Delaware
Application fee waiver code - BlueHenGrad23
https://t.co/l3MoHaNaPU
40 Universities in the US with no application fee, and application fee waivers (in terms of forms, codes and virtual open houses) for the next academic session (2023).
Kindly share for maximum reach.
1. American University (Undergraduate)
https://t.co/BBQV6Nmneh
2. Arizona State University - Undergraduate
https://t.co/ne0lAnVWRc.
3. Aquinas College
https://t.co/Vwz2HGgwVA
4. Boston University
https://t.co/sAXtFcEIod.
5. Central Michigan University - Application Fee Waiver Code for undergraduate - FireUp2023
https://t.co/keRHHcBnKF
6. Cornell University, USA
https://t.co/0j6TEPLLDj
7. Dartmouth College
https://t.co/SRJAjVzpAz
8. Illinois Wesleyan University
https://t.co/s8VUF0ys7J
9. Indiana State University
https://t.co/bH6zC33gZ3
10. Michigan Technological University (No Application Fee)
https://t.co/6SkgvETiO5
11. Miami University (Waiver for undergraduate)
https://t.co/T9tIH2onuw.
12. Northeastern University
Application Fee waiver code = KGNUApply2023
https://t.co/6i1JS3fTsx
13. St. Mary’s University
https://t.co/P2vfJxsoxX
14. Southern Illinois University - Application Fee Waiver Code for undergraduate - FREEAPP - Ending Oct 31
https://t.co/h7y9obXaYu
15. Southwestern University (No Application Fee)
https://t.co/CAjTS0wxOv
16. The University of New Orleans
https://t.co/p0wHHd5BB7
17. University of Southern Maine (No Application Fee)
https://t.co/b5YEmWvBsB
18. University of Dayton (No Application Fee)
https://t.co/UQ82diUSF1
19. University of New Haven, USA - Undergraduate
https://t.co/HpLOjqqPwf
20. University of Illinois, Springfield Application Fee Waiver.
https://t.co/TuQtR8ECwg
21. University of Rochester, USA - Form
https://t.co/TezttrhidS
22. University of Lynchburg
Apply for 2023 - No Application Fee
https://t.co/4ThFllHq3r
23. University of St. Thomas, Minnesota (No Application FEE)
https://t.co/dv3aL2ZmX7
24. Wellesley College, Massachusetts
https://t.co/GLNZdHlDLi!
25.Worchester Polytechnic Institute - No Application fee for undergraduate
https://t.co/ZA4S0CDcGP
26. Virginia Polytechnic Institute and State University.
https://t.co/IPed1nKyPn
Application Fee Waiver By Attending Virtual Open House
27. Clemson University, SC, USA - No Application Fee for Applicants for Summer 2023 and beyond
https://t.co/LOSWhl2ZZV.
28. Northern Arizona University, AZ, USA
Application Fee Waiver code
https://t.co/3OOFJ2G7rX
29. Marquette University - Application Fee waiver (Virtual Open House)
https://t.co/ASo9B51dAd
30. Rice University, TX, US
Coffee Chats with Rice University! - Application Fee Waiver
https://t.co/6XlIKrTtqt
31. Rider University
Undergraduate Open House -Nov 11 and 13
https://t.co/3htjyQrsWA
32. SUNY (The State University of New York)
Two-Week No-Fee Application Period - Ends Nov 6, 2022
33. University of Delaware
Application fee waiver code - BlueHenGrad23
https://t.co/l3MoHaNaPU
پیشنهادهایی برای #اپلای #applyabroad
درراستای کمک به عزیزانی که با افزایش هزینه آزادسازی مدرک پروسه اپلایشون با مشکل روبرو شده، لیستی تهیه کردند از دانشگاههایی که برای #اپلای نیاز به #آزادسازی مدرک ندارند اطلاعات بیشتر: https://docs.google.com/spreadsheets/d/1eNmBEKhO9KOYJ8_PeHj-ihff35Em-U46bd…
«اکثر دانشگاه‌های استرالیا با گواهی موقت و ریز نمرات غیر رسمی پذیرش میدن و ثبت نام می‌کنن (نیازی به آزاد کردن مدرک و دانشنامه ندارن).
نیازی به ترجمه با مهر دادگستری هم ندارن؛ ترجمه با مهر ناتی کفایت میکنه که گواهی موقت و ریز نمرات غیر رسمی رو ترجمه و مهر می‌کنن.»
نیازی به ترجمه با مهر دادگستری هم ندارن؛ ترجمه با مهر ناتی کفایت میکنه که گواهی موقت و ریز نمرات غیر رسمی رو ترجمه و مهر می‌کنن.»
Forwarded from پیشنهادهایی برای #اپلای #applyabroad
First Email Template.docx
15.4 KB
قالب اولین ایمیل برای مکاتبه با اساتید
لینک اطلاعات مورد نیاز برای نوشتن Statement of Purpose:
https://t.me/safarname7/11
نکاتی در مورد روز مصاحبه تلفنی یا اسکایپ:
https://t.me/safarname7/249
https://t.me/safarname7/11
نکاتی در مورد روز مصاحبه تلفنی یا اسکایپ:
https://t.me/safarname7/249
دولت آلمان راه اندازی «گرین کارت» آلمان، موسوم به «کارت شانس» رو تصویب کرد. به موجب این قانون، خارجی‌ها بدون داشتن پیشنهاد کاری از هیچ شرکتی می‌تونن به آلمان بیان و اینجا دنبال کار بگردن. برای گرفتن این کارت، فرد باید تو تعدادی از این موارد امتیاز لازمو بیاره:
١. مدارک حرفه ای
٢. مدرک تحصیلی
٣. تجربه/سابقه کاری
۴. توانایی تکلم به زبان آلمانی
۵. سن
۶. سابقه سکونت قبلی در آلمان.
برای متخصصان IT زبان آلمانی نیاز نخواهد بود.
این قانون باید به تصویب پارلمان برسه و جایگزین روشهای قبلی جستجوی کار خواهد شد. کم و کیف الزامات بعد تصویب در ابتدای ٢٠٢٣ معلوم میشه.
توضیح ١: تو توئیت دوم منظور از تصویب، تصویب پارلمان آلمانه وگرنه دولت تصویبش کرد.
توضیح ٢: تعدادی از اون بندها کافیه. همش نیاز نیست. از همه مهمتر اینکه دیگه نیاز نیست ارتباطی بین شغل و مدرک تحصیلی باشه. مثلا شما اگه جغرافی خوندین ولی طراحی سه بعدی بلدین قدمتون روی چشمه.
توضیح: جزئیات اینکه هربخش چه امتیازی به چه شکل خواهد داشت رو پارلمان مشخص خواهد کرد. اگه تو حوزه آی تی شاغل هستید نیاز به زبان آلمانی نخواهید داشت. اگه کارفرمایی قبل ورود به آلمان پیدا کنید که از شما مدرک زبان نخواهد باز هم نیاز به اثبات دانش آلمانی نخواهید داشت.
منبع: https://mobile.twitter.com/reinberliner/status/1600072308873306112
١. مدارک حرفه ای
٢. مدرک تحصیلی
٣. تجربه/سابقه کاری
۴. توانایی تکلم به زبان آلمانی
۵. سن
۶. سابقه سکونت قبلی در آلمان.
برای متخصصان IT زبان آلمانی نیاز نخواهد بود.
این قانون باید به تصویب پارلمان برسه و جایگزین روشهای قبلی جستجوی کار خواهد شد. کم و کیف الزامات بعد تصویب در ابتدای ٢٠٢٣ معلوم میشه.
توضیح ١: تو توئیت دوم منظور از تصویب، تصویب پارلمان آلمانه وگرنه دولت تصویبش کرد.
توضیح ٢: تعدادی از اون بندها کافیه. همش نیاز نیست. از همه مهمتر اینکه دیگه نیاز نیست ارتباطی بین شغل و مدرک تحصیلی باشه. مثلا شما اگه جغرافی خوندین ولی طراحی سه بعدی بلدین قدمتون روی چشمه.
توضیح: جزئیات اینکه هربخش چه امتیازی به چه شکل خواهد داشت رو پارلمان مشخص خواهد کرد. اگه تو حوزه آی تی شاغل هستید نیاز به زبان آلمانی نخواهید داشت. اگه کارفرمایی قبل ورود به آلمان پیدا کنید که از شما مدرک زبان نخواهد باز هم نیاز به اثبات دانش آلمانی نخواهید داشت.
منبع: https://mobile.twitter.com/reinberliner/status/1600072308873306112
پیشنهادهایی برای #اپلای #applyabroad
دولت آلمان راه اندازی «گرین کارت» آلمان، موسوم به «کارت شانس» رو تصویب کرد. به موجب این قانون، خارجی‌ها بدون داشتن پیشنهاد کاری از هیچ شرکتی می‌تونن به آلمان بیان و اینجا دنبال کار بگردن. برای گرفتن این کارت، فرد باید تو تعدادی از این موارد امتیاز لازمو بیاره:…
توضیحات گرین کارت نسخه آلمانی به زبان انگلیسی به نقل از خبرگزاری:
https://amp.dw.com/en/germany-to-introduce-green-card-to-bolster-workforce/a-63046971
Faced with a critical shortage of skilled labor, Germany is planning to introduce its version of a green card. It aims to make it easier for non-EU nationals to come to find work.
The German government is introducing its own version of a "green card", the Chancenkarte (literally "opportunity card"), in an attempt to plug its desperate labor shortage. Industry associations have been complaining for some time, and the Labor Ministry has suggested the shortfall is slowing economic growth.
The new "opportunity card," presented by Labor Minister Hubertus Heil in the German media this week, will offer foreign nationals the chance to come to Germany to look for work even without a job offer, as long as they fulfill at least three of these four criteria:
1) A university degree or professional qualification
2) Professional experience of at least three years
3) Language skill or previous residence in Germany
4) Aged under 35
The criteria are not unlike those used in Canada's points system, though that uses a more complex weight system. And there will be limits and conditions, the minister from the center-left Social Democrats (SPD) emphasized in media interviews this week. The number of cards will be limited by the German government on a year-by-year basis, according to demand on the labor market, he explained.
This is about qualified immigration, an unbureaucratic process, and that's why it's important that we say that those who have the opportunity card can earn a living while they are here," Heil told the WDR public radio station on Wednesday.
There are certainly some improvements here, according to Sowmya Thyagarajan. She came to Hamburg from India in 2016 to do a Ph.D. in aviation engineering and is now CEO of her own German company, Foviatech, which creates software for streamlining transportation and healthcare services.
"I think this points system could be a very good opportunity for people coming from abroad to work here," she told DW. "Especially due to the depleting young population in Germany." At the moment, Thyagarajan said, her company gives preference to Germans and EU nationals when recruiting, simply because of the bureaucratic hurdles involved for anyone else.
https://amp.dw.com/en/germany-to-introduce-green-card-to-bolster-workforce/a-63046971
Faced with a critical shortage of skilled labor, Germany is planning to introduce its version of a green card. It aims to make it easier for non-EU nationals to come to find work.
The German government is introducing its own version of a "green card", the Chancenkarte (literally "opportunity card"), in an attempt to plug its desperate labor shortage. Industry associations have been complaining for some time, and the Labor Ministry has suggested the shortfall is slowing economic growth.
The new "opportunity card," presented by Labor Minister Hubertus Heil in the German media this week, will offer foreign nationals the chance to come to Germany to look for work even without a job offer, as long as they fulfill at least three of these four criteria:
1) A university degree or professional qualification
2) Professional experience of at least three years
3) Language skill or previous residence in Germany
4) Aged under 35
The criteria are not unlike those used in Canada's points system, though that uses a more complex weight system. And there will be limits and conditions, the minister from the center-left Social Democrats (SPD) emphasized in media interviews this week. The number of cards will be limited by the German government on a year-by-year basis, according to demand on the labor market, he explained.
This is about qualified immigration, an unbureaucratic process, and that's why it's important that we say that those who have the opportunity card can earn a living while they are here," Heil told the WDR public radio station on Wednesday.
There are certainly some improvements here, according to Sowmya Thyagarajan. She came to Hamburg from India in 2016 to do a Ph.D. in aviation engineering and is now CEO of her own German company, Foviatech, which creates software for streamlining transportation and healthcare services.
"I think this points system could be a very good opportunity for people coming from abroad to work here," she told DW. "Especially due to the depleting young population in Germany." At the moment, Thyagarajan said, her company gives preference to Germans and EU nationals when recruiting, simply because of the bureaucratic hurdles involved for anyone else.
چندین موقعیت دکتری
تگزاس آمریکا
immediate fill of fully funded Ph.D. positions for Fall/Spring 2023 at the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) at the University of Texas at Arlington. Graduate students with strong quantitative background and programming skills are encouraged to apply. The research directions include Advanced Analytics, Deep Learning, Machine Learning, and AI-driven Intelligent UAV-UGV Systems.
If you are interested, please send your CV to Dr. Shouyi Wang at shouyiw@uta.edu. We will evaluate your CV and give feedback quickly. Accepted Ph.D. students will work with Dr. Wang and will be provided with full financial support for the entire Ph.D. study. Visiting Students/Scholars Positions are also available in Deep Learning and Intelligent Systems.
Lab Information: The COSMOS Center is conducting world-leading research in Advanced Data Analytics, Machine Learning Research, Complex System Optimization & Modeling, Healthcare, and Biomedical Informatics, and AI-driven Technologies. The lab has very strong connections to the AI industry. The renowned research collaborators include American Airlines, Apple, Foxconn, IBM, Facebook/Oculus, Samsung/Harman AI Group, and NVIDIA.
The COSMOS Center Ph.D. graduates are highly competitive in the US job market. Recent Ph.D. graduates of COSMOS Center obtained jobs at American Airlines, United Airlines, UPS, CSX, AT&T, Alibaba/Seattle, Bank of America, BNSF, General Motors, etc. Our Ph.D. graduates also have immense opportunities to pursue academic careers. Recent Ph.D. students obtained faculty positions at top schools, including the University of Illinois Chicago, Washington State University, Stevens Institute of Technology, University of Southern California, The State University of New York at Buffalo, Harbin Institute of Technology, etc.
The Current Research Projects & Topics include:
* Deep Learning for drug discovery (e.g., protein, DNA/RNA, molecule deep learning in life science, sponsored by NSF & NIH)
* Deep Learning for medical imaging analytics (work with the University of Washington)
* AI-Driven UAV-UGV Collaborative Smart Systems for Agriculture Applications (work with USDA)
* Probabilistic Deep Learning and Stochastic Optimization for Complex Systems Decision Analytics with Applications to Energy Systems and Smart Grids Operations Management (NSF)
* Interpretable Deep Learning/Machine Learning Research for Biomedical Data Mining & Knowledge Discovery
* Deep Learning for Satellite Imaging Analytics and Geographic Information Systems (USDA)
School Information: With more than 50,000 enrolled students, UTA is one of the largest public universities in the nation. According to the 2022 U.S. News and World Report, UTA Engineering School is ranked #79 in the US. The Industrial, Manufacturing, & Systems Engineering (IMSE) Department is ranked #50 for Graduate Programs. With great resources and Texas State support, the IMSE department is one of the fastest-growing programs in the US with more than 500 graduate students. UTA is one of the 146 Carnegie R-1 Doctoral Universities in the US with the highest research activities.
DFW/Arlington Area: Located in the US's 4th largest metropolitan area (Dallas/Fort Worth Area), the COSMOS Center at UTA is conducting world-leading research projects and has strong industry support and collaborations.
تگزاس آمریکا
immediate fill of fully funded Ph.D. positions for Fall/Spring 2023 at the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) at the University of Texas at Arlington. Graduate students with strong quantitative background and programming skills are encouraged to apply. The research directions include Advanced Analytics, Deep Learning, Machine Learning, and AI-driven Intelligent UAV-UGV Systems.
If you are interested, please send your CV to Dr. Shouyi Wang at shouyiw@uta.edu. We will evaluate your CV and give feedback quickly. Accepted Ph.D. students will work with Dr. Wang and will be provided with full financial support for the entire Ph.D. study. Visiting Students/Scholars Positions are also available in Deep Learning and Intelligent Systems.
Lab Information: The COSMOS Center is conducting world-leading research in Advanced Data Analytics, Machine Learning Research, Complex System Optimization & Modeling, Healthcare, and Biomedical Informatics, and AI-driven Technologies. The lab has very strong connections to the AI industry. The renowned research collaborators include American Airlines, Apple, Foxconn, IBM, Facebook/Oculus, Samsung/Harman AI Group, and NVIDIA.
The COSMOS Center Ph.D. graduates are highly competitive in the US job market. Recent Ph.D. graduates of COSMOS Center obtained jobs at American Airlines, United Airlines, UPS, CSX, AT&T, Alibaba/Seattle, Bank of America, BNSF, General Motors, etc. Our Ph.D. graduates also have immense opportunities to pursue academic careers. Recent Ph.D. students obtained faculty positions at top schools, including the University of Illinois Chicago, Washington State University, Stevens Institute of Technology, University of Southern California, The State University of New York at Buffalo, Harbin Institute of Technology, etc.
The Current Research Projects & Topics include:
* Deep Learning for drug discovery (e.g., protein, DNA/RNA, molecule deep learning in life science, sponsored by NSF & NIH)
* Deep Learning for medical imaging analytics (work with the University of Washington)
* AI-Driven UAV-UGV Collaborative Smart Systems for Agriculture Applications (work with USDA)
* Probabilistic Deep Learning and Stochastic Optimization for Complex Systems Decision Analytics with Applications to Energy Systems and Smart Grids Operations Management (NSF)
* Interpretable Deep Learning/Machine Learning Research for Biomedical Data Mining & Knowledge Discovery
* Deep Learning for Satellite Imaging Analytics and Geographic Information Systems (USDA)
School Information: With more than 50,000 enrolled students, UTA is one of the largest public universities in the nation. According to the 2022 U.S. News and World Report, UTA Engineering School is ranked #79 in the US. The Industrial, Manufacturing, & Systems Engineering (IMSE) Department is ranked #50 for Graduate Programs. With great resources and Texas State support, the IMSE department is one of the fastest-growing programs in the US with more than 500 graduate students. UTA is one of the 146 Carnegie R-1 Doctoral Universities in the US with the highest research activities.
DFW/Arlington Area: Located in the US's 4th largest metropolitan area (Dallas/Fort Worth Area), the COSMOS Center at UTA is conducting world-leading research projects and has strong industry support and collaborations.
Usnews
How Does The University of Texas at Arlington Rank Among America's Best Engineering Schools?
Is The University of Texas at Arlington the best engineering school for you?
موقعیت دکتری
انگلیس
PhD student to work on structured generative
models of images and videos, in the School of Computing Science at the
University of Glasgow.
Possible research topics include:
- deep generative models of images representing their latent 3D structure
- structured models for video incorporating physical constraints
- object-centric and compositional generative models
You should have a good degree in computer science / maths / similar,
and excellent coding skills. Funding is available for strong
candidates; there is a deadline for scholarships at the end of
January.
Please contact me directly (via paul.henderson@glasgow.ac.uk) before
applying, to discuss suitability and negotiate a research topic.
Include your CV, transcripts, and a short (one page) research
proposal.
انگلیس
PhD student to work on structured generative
models of images and videos, in the School of Computing Science at the
University of Glasgow.
Possible research topics include:
- deep generative models of images representing their latent 3D structure
- structured models for video incorporating physical constraints
- object-centric and compositional generative models
You should have a good degree in computer science / maths / similar,
and excellent coding skills. Funding is available for strong
candidates; there is a deadline for scholarships at the end of
January.
Please contact me directly (via paul.henderson@glasgow.ac.uk) before
applying, to discuss suitability and negotiate a research topic.
Include your CV, transcripts, and a short (one page) research
proposal.
چندموقعیت دکتری رباتیک
دانشگاه ایالتی آریزونا
امریکا
The People and Robots Lab (PeRL) at Arizona State University (ASU) has multiple openings for Ph.D. student positions starting in the spring or fall of 2023.
The broad topics of interest include autonomous robots, multi-robot systems, human-robot teaming/interaction, robot learning, and computer vision. Our long-term goal is to facilitate the coordination, communication, coexistence, and mutual adaptation between robots and humans in dynamic, uncertain, adversarial, and multi-goal environments.
Qualifications:
- Bachelor's or master's degree in computer science, engineering, or a related field
- Knowledge and skills in artificial intelligence, machine learning, and robotics
- Solid mathematical and programming skills
- Publications in top venues is a plus.
To apply:
Candidates should send the following materials in a single PDF file to pooyan@asu.edu with the subject line "Ph.D. Application - PeRL":
- CV, including your test scores (TOEFL/GRE) and relevant links (GitHub, website, etc.)
- BS/MS transcripts
Please include a few paragraph description of your research interests in the email.
To learn more about the positions, please contact Professor Pooyan Fazli (pooyan@asu.edu).
دانشگاه ایالتی آریزونا
امریکا
The People and Robots Lab (PeRL) at Arizona State University (ASU) has multiple openings for Ph.D. student positions starting in the spring or fall of 2023.
The broad topics of interest include autonomous robots, multi-robot systems, human-robot teaming/interaction, robot learning, and computer vision. Our long-term goal is to facilitate the coordination, communication, coexistence, and mutual adaptation between robots and humans in dynamic, uncertain, adversarial, and multi-goal environments.
Qualifications:
- Bachelor's or master's degree in computer science, engineering, or a related field
- Knowledge and skills in artificial intelligence, machine learning, and robotics
- Solid mathematical and programming skills
- Publications in top venues is a plus.
To apply:
Candidates should send the following materials in a single PDF file to pooyan@asu.edu with the subject line "Ph.D. Application - PeRL":
- CV, including your test scores (TOEFL/GRE) and relevant links (GitHub, website, etc.)
- BS/MS transcripts
Please include a few paragraph description of your research interests in the email.
To learn more about the positions, please contact Professor Pooyan Fazli (pooyan@asu.edu).