Category: Thèse

Applications are open for a fully-funded PhD studentship (4 years, funded
by the EPSRC, starting in September 2023) at the Department of Computer
Science and the Centre for Artificial Intelligence at University College
London. The application process is quite tight – the deadline for
applications is January 26, 2023.
 
My proposed PhD project is titled “Modelling infectious disease prevalence
with AI methods and online user activity” and is described here:
https://ucl-epsrc-dtp.github.io/2023-24-project-catalogue/projects/2228bd1193.html
 
Applications should be submitted at
https://www.ucl.ac.uk/epsrc-doctoral-training/prospective-students/apply-ucl-esprc-dtp-studentship
 
Please get in touch via email (v.lampos@ucl.ac.uk) if you need more
information. However, given the tight application process, please do not
hesitate to apply without contacting me in the first place!
 
Best regards,
 
Vasileios Lampos

We are hiring! A number of positions, with great collaborators, in both
Helsinki, Finland and Manchester, UK. Postdoc, research fellow, doctoral
student, AI Centre Manager, Translational Research Manager. Keywords:
Probabilistic machine learning, multi-agent RL, collaborative AI,
simulator-based inference, privacy, ML4Science.
 
More details; some food for thought for the holiday season:
 
In Manchester Centre for AI Fundamentals and ELLIS Unit Manchester,
University of Manchester, UK:
 
– Postdoc, ML with an outstanding cancer research centre: https://www.jobs.manchester.ac.uk/displayjob.aspx?isPreview=Yes&jobid=24123&advert=external
,
<https://www.jobs.manchester.ac.uk/displayjob.aspx?isPreview=Yes&jobid=24123&advert=external>DL
Jan 16;
– Doctoral student:
https://www.cs.manchester.ac.uk/study/postgraduate-research/research-projects/description/?projectid=33392
<https://t.co/mfILOnM64W>
– AI Centre Manager: ELLIS Unit Manchester and Manchester Centre for AI
Fundamentals
https://www.jobs.manchester.ac.uk/internal/displayjob.aspx?jobid=24014
<https://t.co/hX1jUiRpKt> , DL Jan 9, 2023
– Translational Research Manager: A high-profile position setting up AI
startup and industry collaboration action of Manchester Centre for AI
Fundamentals, UKRI Turing AI World-Leading Resarcher programme and ELLIS
Unit Manchester, with new Manchester Turing Innovation Hub initiative.
Position open any day now.

 
In Aalto University, Helsinki, Finland; Finnish Centre for Artificial
Intelligence FCAI and ELLIS Unit Helsinki:
 
– Postdoc positions in drug design, multi-agent RL, differential privacy
in my group: Topics 15-19 at
https://www.hiit.fi/fcai-and-project-postdoctoral-researcher-and-research-fellow-positions/
, DL Jan 15.
– Postdoc positions with FCAI collaborators :
https://fcai.fi/we-are-hiring <https://t.co/HumFBOQ7iP> , DL Jan 15
– Doctoral student positions in my group: Topics 10-14
https://hict.fi/open-positions/ <https://t.co/S7dnq4zmSE> DL Jan 29 .
– Assistant Professors of Computer Science
https://www.aalto.fi/en/open-positions/assistant-professors-computer-science
<https://t.co/5daSnQwHgG> , DL Jan 15. Machine learning and
collaboration at FCAI welcome

 
If you read this far and are uncertain which of these to apply for, apply
to one of them and tell in the cover letter that you are interested in my
other positions too.

Ph.D in Personalised Digital Technologies, building behavioural models enpowered with AI, based on biomedical signals and contextual data Scadenza: 10 January 2023 The University of Applied Sciences of Southern Switzerland (SUPSI) has opened a full time position (100%) for a PhD student in Personalised Digital Technologies, building behavioural models enpowered with AI, based on biomedical signals and contextual data within the Institute of Digital Technologies for Personalized HealthCare (MeDiTech) at the Department of Innovative Technologies (DTI), based at the USI-SUPSI university campus in Lugano-Viganello (East Campus). The contract will start on start on 1 February 2023 or date to be agreed upon.

Tasks

• Applied research in the field of BioMedical Signal Processing, mainly from Smartwatches.
• Data Collection, Data Fusion and Data Analysis.
• Persuasive technologies, Statistical Behavioural Modeling.
• Development of Algorithms for Stress and Coping Monitoring, LifeStyle Change and for Burnout Prevention.
• Applied research in the development of intelligent systems for personalized digital techinologies with AI tools.
• Actively communicate, interact and work with the working group and the international project partnership.

Requirements

• Master’s degree in Health Data Science or Biomedical Engineering, or in another quantitative science as Computer Science, Math, Physics, Statistics, or similar. Preferably with specialization in Artificial Intelligence, Machine Learning.
• Proven experience in the processing of biomedical signals and the application of advanced analytical techniques and knowledge of the main hardware (wearable devices) and software tools that implement it (Python, R)
• Experience of work and / or research in the fields of application of artificial intelligence to the medical-clinical field.
• Excellent knowledge of English (both written and spoken).
• Good relationship skills, team work and good autonomy in managing the technical and organizational problems of one’s work.
• Ability to interact in multidisciplinary and multicultural contexts.
• Strong mathematics competences and strong motivation to do research and to publish.
• Good programming skills (Matlab/R/Python).

We offer

• Fixed term employment contract.
• Attractive salary.
• A stimulating work in a young and dynamic research team, constantly active in the context of national and European research projects.
• The possibility of actively contributing to the development of applied research activities in the field personalized technologies.
• Participation to conferences and workshop.

Additional information

The requirements for this function are published within the “Direttive interne SUPSI” and within “Regolamento del personale SUPSI” on the Italian website.

For further information, please contact:
Francesca Faraci

Applications will be considered only if submitted electronically within January 10th, 2023 through the appropriate online form.
Applications which are incomplete, or sent after the deadline, will not be considered.

Edge Hill University
<https://www.karkidi.com/Employer-Profile/10810-edge-hill-university-jobs>
is a campus-based public university in Ormskirk, Lancashire, England, which
opened in 1885 as Edge Hill College, the first non-denominational teacher
training college for women in England, before admitting its first male
students in 1959.
Open Roles
 
Graduate Teaching Assistant (GTA) PhD Studentship – Computer Science and
Informatics
<https://www.karkidi.com/job-details/37128-graduate-teaching-assistant-gta-phd-studentship-computer-science-and-informatics-job>
 
Ormskirk, UK
 
Postdoctoral Research Fellow in Computer Vision and AI
<https://www.karkidi.com/job-details/37129-postdoctoral-research-fellow-in-computer-vision-and-ai-job>
 
Ormskirk, UK
 
Graduate Teaching Assistant (GTA) PhD Studentship – Computer Vision and
Artificial Intelligence
<https://www.karkidi.com/job-details/37127-graduate-teaching-assistant-gta-phd-studentship-computer-vision-and-artificial-intelligence-job>

Prof Tao Cheng
<https://www.linkedin.com/in/ACoAAAMa-fkBgbkBsMg90X41OVTTqB71mEALMIM>’s
team is hiring one two-year #postdoc
<https://www.linkedin.com/feed/hashtag/?keywords=postdoc&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7010612695188033536> and
one #PhD
<https://www.linkedin.com/feed/hashtag/?keywords=phd&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7010612695188033536> student
to work on a project focusing on the impact of COVID-19 and improving our
ability to recover from pandemics. The objective is to improve our
understanding of how the public changes behaviours in response to a
pandemic and policy interventions and how these changes influence
businesses and communities.
 
The starting date is Spring 2023 or as early as possible. More details
follow below.
 
#postdoc
<https://www.linkedin.com/feed/hashtag/?keywords=postdoc&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7010612695188033536>
#phd
<https://www.linkedin.com/feed/hashtag/?keywords=phd&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7010612695188033536>
#COVID19
<https://www.linkedin.com/feed/hashtag/?keywords=covid19&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7010612695188033536>
#research
<https://www.linkedin.com/feed/hashtag/?keywords=research&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7010612695188033536>
#publichealth
<https://www.linkedin.com/feed/hashtag/?keywords=publichealth&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7010612695188033536>
 
For the applicants to the postdoc position
 
We are hiring for a 24-month position focused on developing a multi-agent
platform and analysing the impact of COVID-19 Nonpharmaceutical Policy
Interventions (NPIs) on behaviour changes.
 
This project is funded by the Turing Institute. The position will be
based at the UCL SpaceTimeLab and supervised by Prof Tao Cheng
<https://www.linkedin.com/in/ACoAAAMa-fkBgbkBsMg90X41OVTTqB71mEALMIM> and
Dr Yali Du
<https://www.linkedin.com/in/ACoAABi5ZtcBX7hThRTKP4lxB10JSyngMmsG1hA> from
KCL Cooperative AI Lab. This project aims to improve our understanding of
how the public adapts to the pandemic, policy interventions, and messaging
and how these changes influence businesses and communities.
 
We are looking for candidates with strong backgrounds in reinforcement
learning and multi-agent learning. You will join a multi-disciplinary team
with four other PhD students for this project and have the opportunity to
collaborate with researchers at UCL, KCL and Turing Institute.
 
Join our team and contribute to the fight against COVID-19 and help inform
the recovery efforts. Apply now or enquire by sending your CV to:
tao.cheng@ucl.ac.uk and yali.du@kcl.ac.uk
 
For the applicants to the funded PhD position
 
We are hiring for a project focused on understanding the impact of COVID-19
and improving our ability to recover from pandemics.
 
This project is funded by the Turing Institute. The position will be
based at the UCL SpaceTimeLab and supervised by Prof. Tao Cheng
<https://www.linkedin.com/in/ACoAAAMa-fkBgbkBsMg90X41OVTTqB71mEALMIM> and
Dr Aldo Lipani
<https://www.linkedin.com/in/ACoAACtlXUMBrrRM2307UgCnybU2RpboCKWKScI>. The
PhD studentship will involve collecting and analysing data on government
policy announcements and public responses, as well as GPS-based movement
data.
 
We are looking for candidates with strong backgrounds in machine learning
and social media data analysis. You will join a multi-disciplinary project
with one PDRA and three other PhD students for this project. The successful
candidate will receive a full scholarship.
 
Don’t miss this opportunity to make a difference in our understanding of
public health crises. Apply now or enquire with your CV to:
tao.cheng@ucl.ac.uk and aldo.lipani@ucl.ac.uk

Utrecht University
<https://www.karkidi.com/Employer-Profile/10090-utrecht-university-jobs> is
a public research university in Utrecht, Netherlands. it is one of the
oldest universities in the Netherlands. In 2018, it had an enrollment of
31,801 students, and employed 7,191 faculty and staff. In 2018, 525 PhD
degrees were awarded and 6,948 scientific articles were published.
Open Roles
 
PhD position in Advanced Deep Data-Driven Nowcasting Models
<https://www.karkidi.com/job-details/36783-phd-position-in-advanced-deep-data-driven-nowcasting-models-job>
 
Utrecht, Netherlands
 
PhD position in Predictive Asset Maintenance using Operations Research and
Machine Learning (1.0 FTE)
<https://www.karkidi.com/job-details/36784-phd-position-in-predictive-asset-maintenance-using-operations-research-and-machine-learning-1-0-fte-job>
 
Utrecht, Netherlands

A fully funded 3.5-year PhD studentship in NLP on the topic of meaning
change is offered at Queen Mary University of London (QMUL), School of
Electronic Engineering and Computer Science.
 
I am looking for brilliant candidates who hold (or about to hold) MSc in
Computer Science with a strong NLP research background. Prospective
students can learn more about the project here
<http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-studentships-in-electronic-engineering-and-computer-science/>,
under the section: *Next generation NLP methods for meaning change* . The
PhD student will be supervised by me and co-supervised by Prof Maria
Liakata, and will also be part of the Change is Key!
<https://www.changeiskey.org/> international research program.
 
For further details on the application process and eligibility criteria
please read this
<http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-studentships-in-electronic-engineering-and-computer-science/>
.
 
If you are interested, please get in touch with me on:
h.dubossarsky@qmul.ac.uk.

Jonas Martin Peters <jonas.peters@math.ku.dk>: Dec 14 01:52PM

Dear all,

There is a PhD position available at ETH Zurich in the area of causal inference and distribution generalization with possible applications in Earth system science (starting date: April 1st 2023 or after) with me as supervisor. If you are interested, please send me an email with subject line “application PhD position” by Dec 20, 23:59 (anywhere on Earth). Please include
* your CV
* transcripts (such as courses and grades during your BSc and MSc degree)
* research statement (this should contain a short motivation for applying for this position)
* a scientific text written primarily by you (this can be a master thesis, for example, or a research paper if you are first author).