#N3424

✅ Funded PhD position; in the area of International Relations; at the University of Antwerp; in Belgium

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/mo2frr

#N3425

✅ Funded bachelor’s or master’s programme; in various subjects; at the Zuyd University; in Netherlands

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/pujNQL

#N3426

✅ Funded PhD programme; in the fields of epigenetics, neurobiology, and quantitative biology; at the Friedrich Miescher Institute; in Switzerland

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/4Z21z2

#N3427

✅ Funded postgraduate programme; in the fields of law; at the University of Liverpool; in UK

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/o1HsQv

#N3428

✅ Funded postgraduate programme; in any of the courses offered by the Medical and Dental Sciences; at the University of Birmingham; in UK

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/cRFw7h

#N3429

✅ Funded postgraduate programme; in the field of Theoretical or Mathematical Physics; at the University of Edinburgh; in UK

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/wNd2rT

#N3430

✅ Funded postgraduate programme; in the various field; at the University of Twente; in Netherlands

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/temju8

#N3431

✅ Funded Bachelor programme; in the various field; at the University of Applied Sciences; in Netherlands

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/61DP61

#N3432

✅ Funded MPP and MIA programmes; in the field of Law; at the Hertie School of Governance; in Germany

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/EeZiQm

#N3433

✅ Funded PhD programmes; inthe area of management science and business economics; at the University of Edinburgh; in UK

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/c46bAv

#N3434

✅ Funded MBA programmes; in the field of business administration; at the Seattle University; in USA

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/vAeQXP

#N3435

✅ 18 Funded Master degree programmes; in the fields of International Law and the Law of International Organizations LLM, Global Criminal Law LLM, European Economic Law LLM, International and European Law LLM, International Commercial Law LLM, International Business Law LLM, LL.M. Energy and Climate Law, Public International Law LLM, International Human Rights Law LLM; at the University of Groningen; in Netherlands

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/3ByPev

#N3436

✅ Funded bachelor’s or master’s programmes; in the fields of study available at the participating Dutch research universities and universities of applied sciences; at one of the participating Dutch higher education institutions; in Netherlands

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/GcUcW4

#N3437

✅ Funded MPhil/PhD programmes; in One-year full-time MA Religions of Asia and Africa pathway: ‘Zoroastrianism’, starting in 2018/19.
Two-year part-time MA Religions of Asia and Africa pathway: ‘Zoroastrianism’, starting in 2018/19. Full-time MPhil PhD (new admissions only, starting in September 2018) in the following subject areas: i) Zoroastrianism, both ancient and modern ii) Zoroastrianism with language study (Avestan, Pahlavi, Persian and Gujarati); at SOAS University of London; in UK

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/AdH8SB

#N3438

✅ Funded bachelor, master, doctoral programmes; in various subjects; at Sichuan Agricultural University; in China

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/pTMrEo

#N3439

✅ Funded PhD programmes; in any area of strategic management, but some topics of particular interest include: Data-driven business models and growth; Network strategy; Strategic contracting and Strategic human capital; at Copenhagen Business School; in Denmark

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/7Q9JtU

#N3440

✅ Funded PhD programmes; in membrane biology; at University of Bonn; in Germany

⏱ Deadline: #May 01, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/svEau8

PhD Fellowship in Computer Vision and Machine Learning


Deep learning has revolutionised the field of computer vision, but requires access to large homogeneous datasets. Humans in contrast can learn new concepts from remarkably few labeled examples by leveraging information from a diverse set of sources (unlabelled examples, related tasks, etc.). This ability has been termed visual fast mapping in the psychology literature. The goal of this PhD project is to develop new machine learning techniques that support visual fast mapping being data-efficient and having the ability to leverage information from many different data sources. The new techniques will be tested on data sets of medical images and scenes for autonomous systems. The research is expected to impact both medical imaging and the way people interact with and train AI systems.
 

The PhD position will be based in the Cambridge Machine Learning Group, supervised by Dr. Richard E. Turner. Dr. Aditya Nori (Microsoft Research) and Prof. Andrew Blake will co-supervise. The funding for this position comes from the Microsoft Research PhD Scholarship Programme.


We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in computer vision and machine learning. 


A typical duration of a PhD in the machine learning group is four years.


Applicants must formally apply through the GRADSAF system at the University of Cambridge by the deadline, indicating “PhD in Engineering” as the course and denoting 'Turner' as the supervisor. This position is fully funded for UK and EU students. 


Deadline: May 21st 2018


Applications from outstanding individuals may be considered after this time, but this may adversely impact your chances for admission. Moreover, applications will be considered on a rolling basis and 


Further information about completing the admissions forms:


The Machine Learning Group is based in the Department of Engineering, not Computer Science.

We will assess your application on three criteria:


academic performance (make sure to ensure evidence for strong academic achievement e.g. position in year, awards etc.)
references (clearly your references will need to be strong, they should also mention evidence of excellence as quotes will be drawn from them)
research (detail your research experience, especially that which relates to machine learning and computer vision)

The form asks for a research proposal. Here we would like you to read around the research area and develop some initial ideas in this direction. We do not offer individual advice or feedback on the proposal as it is part of the assessment and want to be fair to all candidates.  The research proposal should be about 2 pages long and can be attached to your application (you can indicate that you proposal is attached in the 1500 character count Research Summary box). This aspect of the application does not carry a huge amount of weight so do not spend a large amount of time on it. Please also attach a recent CV to your application too.

✔️ @ApplyTime

The 16th International Workshop on Acoustic Signal Enhancement (IWAENC) will be held at Hitotsubashi Hall in Tokyo, Japan, on September 17 – 20, 2018. IWAENC was established in 1993, originally as the International Workshop on Acoustic Echo and Noise Control (this is how the abbreviation IWAENC came into use). It is the leading workshop in the signal processing community addressing theoretical and technical issues related to acoustic and speech signal acquisition and processing. The four-day program consists of oral and poster presentations, keynote talks, and demonstrations.

We look forward to welcoming you to IWAENC 2018 in Tokyo, Japan.

Hiroshi Saruwatari, Shoji Makino

The IWAENC 2018 Organising Committee

http://www.iwaenc2018.org

✔️ @ApplyTime

Several postdoc and research scientist positions are available in my group at KAUST (King Abdullah University of Science and Technology), Thuwal, Saudi Arabia. 


https://www.kaust.edu.sa/en

https://en.wikipedia.org/wiki/King_Abdullah_University_of_Science_and_Technology


Suitable backgrounds: machine learning, optimization, high performance computing, deep learning, computer vision, applied mathematics, randomized algorithms, randomized numerical linear algebra.


Starting date: Fall 2018 / Spring 2019 (exact starting date is flexible)


Duration: 1-3 years


If interested, send your cv to me by email. 


Peter Richtarik

Associate Professor of Computer Science, KAUST

http://www.maths.ed.ac.uk/~prichtar/

✔️ @ApplyTime

PhD position in the area of analysis/prediction of human behaviour from temporal sequences in the wild.

A joint PhD position between 3D SAM (IMT Lille Douai / CRIStAL (UMR CNRS), France, and MICC, University of Florence, Italy).

We are looking for motivated, talented candidates for a PhD position in the area of analysis/prediction of human behaviour from temporal sequences in the wild.

This PhD program will take place at the Media Integration and Communication Center (MICC) at University of Florence (UNIFI), Italy, and the 3D SAM CRSItAL (UMR CNRS) at IMT Lille Douai, France. MICC is a pioneer laboratory in Computer Vision, and 3D SAM has a long experience in the analysis of 3D human behaviour understanding. The PhD student will work under the supervision of Prof. Stefano Berretti (MICC/UNIFI), Prof. A. Del Bimbo (MICC/UNIFI), Prof. Pietro Pala (MICC/UNIFI) and Prof. Mohamed Daoudi (IMT Lille Douai, CRIStAL). 
Context and Objectives: In the last few years, we have assisted to a proliferation of methods for automatically analysing human action/behaviour by using data acquired with RGB-D cameras. Though these considerable efforts resulted in remarkable advancements in the field, existing solutions are still far from being deployable in real application contexts. There are some main reasons for this: (i) current RGB-D devices used to acquire benchmark datasets are constrained to work indoor at short distance; (ii) datasets include short sequences, where subjects show posed actions; (iii) the analysis is mostly oriented to action detection and recognition, while important tasks as interaction and prediction are not considered. In this proposal, we devise to move a step forward in the analysis of human action/behaviour, with the ultimate goal of making this field entering a more mature dimension, where concrete impact in real world applications is expected. On the one hand, we will propose innovative methods for the analysis and prediction of temporal sequences. To this end, we aim to combine geometric methods that model the temporal dimension through non-linear manifolds, with the discriminative power of Deep Learning methods. On the other, we will apply these methods to RGB-D data acquired with new depth sensors that can work outdoor and at distance. This will allow long sequences, large variability and spontaneous human behaviour. All these aspects draw a challenging and completely new scenario for RGB-D solutions that goes well beyond what proposed in the existing literature.
Student profile:  Strong preference will be given to candidates with experience in Computer Vision and Deep Learning, and a good knowledge of written and spoken English. The following expertise is especially considered: 
•       Excellent record of academic and/or professional achievement 
•       Very good English skills, written and spoken (B2 level appreciated). Good written and spoken communication skills in Italian will be appreciated
•       Strong mathematical skills
•       Solid programming skills
•       Strong interests in one or more of the involved research areas (machine learning, computer vision, high performance computing)
The position is for duration of three years. 

Eligibility criteria: 
•       A Master degree in Computer Science, Computer Engineering, Mathematics, Physics or closely related disciplines
•       Appropriate experience to undertake PhD research in the specified area. 
How to apply: Candidates are invited to send their CV before June 15th 2018, detailing their academic background with courses and grades during the last two years to mohamed.daoudi@imt-lille-douai.fr,  stefano.berretti@unifi.it

✔️ @ApplyTime