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Research School Irregular
Published: Thursday, 28 October 2021A newsletter for PGR
Research School Irregular - Contents
[ top ]Professional Development (and Networks)
Research Assistant for Finance Research Projects
We are two researchers in Finance (Prof. Maria Marchica and Dr. Stefan Petry) at the Alliance Manchester Business School (AMBS), and we are looking for a part-time research assistant (RA) in Computer Science who can support us on various, big data research projects that make heavy use of natural language processing and web crawling.
Task Description
Your tasks in the project will consist, among others, of the following:
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Identify the Twitter accounts of a pre-defined list of companies and individuals.
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Download the tweet data for the identified accounts via AWS.
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Do a matching of twitter accounts with firm names.
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Conduct a textual analysis of the tweets.
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Aggregate and export the downloaded tweet data into an analysis-ready format.
Requirements
We are looking for candidates who fulfil most or all of the following requirements:
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Be in the last year of your BSc or first year of your MSc degree with advanced knowledge in NLP and web-crawling, or work towards your PhD degree/post-doc.
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Experience with the Twitter API and Amazon Web Services (AWS) or, if not, have the ability to quickly get working knowledge.
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Experience in efficiently managing big datasets (download, organize, merge, store, etc. ).
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Strong skills in Python.
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Strong communication skills (communication will mainly take place via email combined with occasional meetings on Zoom).
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Be available part-time (1-2 days per week) on a regular basis and possibly also full-time during holidays (can be discussed).
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Start of the project work is as soon as possible.
What we offer
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Opportunity to work on challenging Finance research projects that allow you to extend your skillset.
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The work can be carried out remotely and can be scheduled flexibly depending on the semester schedule.
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We have several projects lined up. If the work is carried out part-time, this employment could last up to 6 months (depending on your interest and availability).
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The standard university pay rates apply.
If interested, please send a CV and your last available transcript to both email addresses: maria.marchica@manchester.ac.uk and stefan.petry@manchester.ac.uk.
Simon Harper
[ top ]Industrial Placements and Internships
Postdoc Position in Assistive Human-Robot Interaction @ Tufts University
We are soliciting applications for a postdoctoral scholar with expertise in assistive technology and/or human-robot interaction at Tufts University (Medford, MA). This researcher will be responsible for coordinating efforts and conducting research on a new NSF-funded project on Mutually Assistive Robotics, under the direction of PI Elaine Short, and co-PIs Jivko Sinapov, Matthias Scheutz, and Chris Rogers.This project takes a strengths-based approach to assistive robotics, developing new methods that allow the robot and user to freely assist each other to complete tasks, and evaluating those methods in activities that improve people's quality of life and where users' autonomy and control over both the goal and manner of completing a task are important. Project outcomes will include new methods for robot learning that empower people with disabilities to collaboratively design, control, and influence robot behavior while engaging in pleasurable hobbies, controlling their own appearance, and generally engaging in creative interaction with the world.The primary task for the postdoctoral scholar will be to coordinate high-quality research within this project, including both individual work and collaborations with PhD students and undergraduates.
Required Qualifications:
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PhD in Computer Science, Mechanical Engineering, Robotics, Human Factors Engineering, Human-Computer Interaction, or closely related field
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Strong interest in assistive technology
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Experience in human-centered/user-centered research practices and assistive applications
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Experience with mentoring and outreach to the non-academic community
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Experience in designing and implementing computer, robotic, and/or cyber-physical systems (especially in C++ and/or Python)
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Publications in HRI and/or Assistive Technology
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Experience in machine learning or AI, especially in robotics or assistive applications
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Commitment to supporting the disability community and/or advocating for accessibility in the tech industry
To apply, candidates should email Elaine Short (elaine.short@tufts.edu) with the subject line “Postdoctoral Scholar Application”, and include a CV and 1-2 page cover letter describing their interest in the position, research background, and qualifications. Applications will be reviewed as they are received, until the position is filled.
About Tufts Computer ScienceThe Tufts Computer Science department has grown significantly in the past decade in faculty, student size, and research funding, and will be moving into a new building during the coming year. The department benefits from outstanding undergraduate and graduate students, collaborative faculty, and cross-disciplinary research opportunities. Tufts University is one of the smallest universities ranked as a Research 1 university, so it offers the best of a liberal arts college atmosphere coupled with the intellectual and technological resources of a major research university.Located only six miles from historic downtown Boston, researchers at the Tufts Medford/Somerville campus have extensive opportunities for academic and industrial collaboration as well as participation in the rich intellectual life of the area. The School of Engineering is in the midst of a period of exciting growth that has seen the recruitment of outstanding new faculty, a quadrupling of funded research over the last ten years, the addition of new buildings and laboratory space, an emphasis on building diversity in engineering, and major curricular initiatives at both the undergraduate and graduate levels.
Equal Employment Opportunity StatementTufts University, founded in 1852, prioritizes quality teaching, highly competitive basic and applied research, and a commitment to active citizenship locally, regionally, and globally. Tufts University also prides itself on creating a diverse, equitable, and inclusive community. Current and prospective employees of the university are expected to have and continuously develop skill in, and disposition for, positively engaging with a diverse population of faculty, staff, and students.Tufts University is an Equal Opportunity/Affirmative Action Employer. We are committed to increasing the diversity of our faculty and staff and fostering their success when hired. Members of underrepresented groups are welcome and strongly encouraged to apply. See the University’s Non-Discrimination statement and policy here https://oeo.tufts.edu/policies-procedures/non-discrimination/. If you are an applicant with a disability who is unable to use our online tools to search and apply for jobs, please contact us by calling Johny Laine in the Office of Equal Opportunity (OEO) at 617-627-3298 or at johny.laine@tufts.edu. Applicants can learn more about requesting reasonable accommodations at https://oeo.tufts.edu/
Mathematical Modelling PhD Student Placement at UKHSA (x 3)
The PhD student placement scheme is part of the Early Career Researcher (ECR) programme, which
aims to improve organisational capability by bringing in specialist and expert skills to UKHSA and serves to attract a pipeline of future talent and strengthen organisational links with academia. These time limited PhD student placements provide benefits for both the organisation and individual, through increased organisational capability and by providing an exciting and varied career opportunity.How do I apply?
1. If you have informal enquiries about the process of application, the UKHSA and the type of experience you will gain from the placement, please use the contacts below.
2. Please check that you have the permission of your supervisor (and funder, if applicable) to apply. You will need agreement that you can be released from your PhD (i.e. take a 3-month pause of studies) to take on the full-time position (37.5 hours FTE, or in line with student visa allowances).
3. Please send the below to JBC.researchandpartnerships@dhsc.gov.uk by 23:55 15th November 2021
a. Your CV (2 sides max) without identifying details (e.g. remove your name, contact details,
academic institution)
b. Tell us about piece of analysis, including a description of the data sources, methods,
limitations, results and conclusions (250 words)
c. A statement demonstrating application and interpretation of new or incomplete data sets
(250 words)
d. Confirmation of relevant permission(s)
4. Applications will be assessed for suitability and candidates will be invited for an informal interview
(via Microsoft Teams) with prospective line managers at UKHSA. The interview will include an assessment of technical skills. You will be provided with a ‘data task’ 1 hour prior to your interview slot via email. You will then present your analysis in a presentation during your interview. The data task is aimed at understanding how you approach the data and problem and there are no right or wrong answers.
5. Sifting and interview dates are to be confirmed. Feedback will only be provided if you attend an
interview.
6. Applicants who are successful at interview will be invited to begin the security clearance procedures and be asked to sign the Visiting Worker Agreement. Appointment is subject to successful clearance of security checks, which must be completed before the placement can begin and an expected start date is December 21 or January 22. Students are advised to wait until their start date is confirmed, before ‘pausing’ their PhD. In summary, applications will open from 11th October and close on 15th November 2021Files:
- 211015_draft_KTN_INI_advert.pdf (87.17 KB)
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