<div dir="ltr"><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:18pt"><font color="#000000">Multi-Modal Object
Recognition and Scene Understanding Employing Machine Learning Techniques</font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000"> </font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><a title="View all PhDs at Northumbria University" href="https://www.findaphd.com/search/phd.aspx?IID=180"><span lang="EN" style="color:windowtext;font-family:"Roboto",serif;font-size:14pt;text-decoration:none">Lancaster University</span></a></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:14pt"><font color="#000000">School of Computing and Communications</font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:14pt"><font color="#000000">Lancaster</font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><a title="Search all PhDs in United Kingdom" href="https://www.findaphd.com/search/phd.aspx?CID=GB"><span lang="EN" style="color:windowtext;font-family:"Roboto",serif;font-size:14pt;text-decoration:none">United Kingdom</span></a></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:15pt 0cm 7.5pt;line-height:normal"><b><span lang="EN" style="font-family:"Roboto",serif;font-size:12pt"><font color="#000000">Project Description</font></span></b></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000">Recent advances in imaging, networking, data
processing and storage technology have resulted in an explosion in the use of
multi-modal sensory data in a variety of fields, including video surveillance,
urban monitoring, cultural heritage area protection and many others. The
integration of data, such as audio, text, image, video from multiple channels
can provide complementary information and therefore increase the accuracy of
the overall decision making process. Currently, seeking an efficient way to
analyse, mine and understand such large-scale, multimodal and noisy data is a
challenging and interesting research topic, where the core problem is learning
representations from the data. <br>
<br>
The problem of learning representations from the data has received considerable
attention in machine learning. Deep learning approaches in particular have
achieved close to human accuracy at recognition tasks in limited domains (e.g.
ImageNet image recognition). However, these approaches usually require vast,
high-quality datasets in the training phase in order to obtain a good
performance, which makes their use expensive and limits to domains where
gathering large numbers of training examples and correct labels are feasible.
For the real-life computer vision applications such as video surveillance and
ambient assisted living, using such approaches seems impractical. In contrast
to deep neural networks, humans can learn concepts from very few examples, and
can generalize them effortlessly across domains (unlike deep learning). Even
2-year olds can learn new words and generalize them to new situations after
seeing only a few examples. The abilities of humans including integration
information acquired through different modalities, reasoning, planning, and
problem solving are highly challenging for current artificial intelligence
models. <br>
<br>
In this PhD work, we will formalize the ideas of representational
geometry/conceptual spaces in a tractable, deep probabilistic framework, and
use it to develop a new type of bio-inspired models capable of several novel
aspects of human-like learning, including learning 1) from few examples, 2)
from multiple modalities (visual, spatiotemporal, and text data), 3) grounding
concept representations in perceptions and action possibilities. The targeted applications
include video surveillance, robot vision and smart environment for elderly
assisted living. </font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000"> </font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000">The successful candidate is expected to work in
an international research group and will be jointly supervised by Dr. Jungong
Han (</font></span><a href="https://sites.google.com/site/jungonghan77/"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#0000ff">https://sites.google.com/site/jungonghan77/</font></span></a><font color="#000000"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt">) and Dr.
Zhijin Qin </span></font><u><font color="#0000ff"><font face="Calibri" size="3">(</font><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><a href="http://wp.lancs.ac.uk/zqin/">http://wp.lancs.ac.uk/zqin/</a>)</span></font></u></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><br><font color="#000000">
<br>
</font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><b><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000">Eligibility
requirement:</font></span></b><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000"> <br>
<br>
* Academic excellence of the proposed student i.e. normally an Honours Degree:
1st or 2:1 (or equivalent) or possession of a Master degree, with merit (or
equivalent study at postgraduate level). </font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000">* We expect experience in computer vision,
video analysis, and machine learning as well as good mathematical and
programming skills (either C/C++ or MATLAB). <br>
* Appropriate IELTS score (overall score of 6.5 with no component below 6.0),
if required (evidence required by 1 August).</font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000"> </font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><b><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000"><font color="#000000" face="Times New Roman" size="3"><font color="#000000" face="Times New Roman" size="3">
</font><b><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000">Funding Notes</font></span></b></font></font></span></b></p><font color="#000000" face="Times New Roman" size="3">

</font><ul style="list-style-type:disc;direction:ltr"><li style="font-style:normal;font-weight:normal"><p style="background:white;line-height:normal;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:7.5pt"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt">A full International fee
waiver for 3 years</span></p></li><li style="color:rgb(0,0,0);font-family:"Roboto",serif;font-size:10.5pt;font-style:normal;font-weight:normal"><p style="background:white;color:rgb(0,0,0);line-height:normal;font-family:"Calibri",sans-serif;font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:7.5pt"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt">An annual tax free stipend
of £15,000</span></p></li></ul><font color="#000000" face="Times New Roman" size="3">



</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><b><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000">Deadline
for applications:</font></span></b><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000"> 30 June 2018 <br>
Interview date (if known): to be confirmed <br>
Start Date: 1 Oct 2018 </font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000"> </font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000">For further details of how to apply, entry
requirements and the application form, see </font></span></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:0cm 0cm 0pt;line-height:normal"><a href="http://www.lancaster.ac.uk/scc/study/phd/" target="_blank"><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#0000ff">http://www.lancaster.ac.uk/scc/study/phd/</font></span></a></p><font color="#000000" face="Times New Roman" size="3">

</font><p style="background:white;margin:15pt 0cm 7.5pt;line-height:normal"><b><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000">Informal Enquiries:</font></span></b><span lang="EN" style="font-family:"Roboto",serif;font-size:10.5pt"><font color="#000000"> <br>
Applicant is encouraged to contact with supervisors Dr. Jungong Han (<a href="mailto:jungong.han@lancaster.ac.uk">jungong.han@lancaster.ac.uk</a>)
or Dr. Zhijin Qin (<a href="mailto:Zhijin.qin@lancaster.ac.uk">Zhijin.qin@lancaster.ac.uk</a>) before submitting the
application.<span></span></font></span></p><font color="#000000" face="Times New Roman" size="3">

</font></div>