laboratory researcher

NYU Langone Health

<div><p>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
<br>
<br>
<i>For more information, go to</i> <i>med.nyu.edu</i>, and interact with us on <i>LinkedIn</i>, <i>Glassdoor</i>, <i>Indeed</i>, <i>Facebook</i>, <i>Twitter</i> <i>and</i> <i>Instagram</i>.</p>
<p><b>
Position Summary:</b><br>
We have an exciting opportunity to join our team as a Research Associate.
<br>
<br>
In this role, the successful candidate is responsible for conducting independent basic science experimentation based on research conducted in the assigned laboratory under the mentorship of a senior scientist. Individual is expected to seek to build a portfolio of research accomplishments in preparation for acquiring a higher degree in biomedical research or medicine.</p>
<p><b>
Job Responsibilities:</b></p>
<ul>
<li>After a period of time working in the laboratory, the candidate will be expected to train graduate students and post-doctoral fellows in experimental design, technique and performance.</li>
<li>Generates hypotheses and designs and performs experiments to test them.</li>
<li>Executes multiple experiments simultaneously over time independently.</li>
<li>Records all experimental findings in a laboratory notebook, analyze and interpret experimental findings.</li>
<li>Based on results, independently suggests and tests modifications to protocols.</li>
<li>Prepares figures and diagrams for presentations and publications.</li>
<li>Communicates results and collaborates with other professionals in the lab.</li>
<li>Demonstrates a significant level of intellectual input into the design of the project.</li>
<li>Presents findings at lab meeting, responds to challenges, and participates in exchanges of ideas to advance the science.</li>
<li>Reads and understands relevant scientific literature.</li>
<li>Contributes to the preparation of articles on research outcomes and progress and to the submission of same for publication.</li>
<li>Participates in the editing and proofing of grant proposals, annual grant reports, and manuscripts for publication and recommends modifications to the Principal Investigator.</li></ul><br>
<p></p>
<p><b>
Minimum Qualifications:</b><br>
To qualify you must have a College graduate with a B.S. or B.A. in Biomedical or Physical Sciences. A minimum commitment of two years is required and placement in position may not exceed three years.</p>
<p><b>
Preferred Qualifications:</b><br>
Prior research experience in a laboratory setting.</p>
<p><i>
Qualified candidates must be able to effectively communicate with all levels of the organization.</i>
<br>
<br>
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
<br>
<br>
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
<br>
<br>
View Know Your Rights: Workplace discrimination is illegal.</p>
<p>
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $47,033.89 - $50,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p>
<p>
To view the Pay Transparency Notice, please click here</p></div>

Research Associate - Mazzoni Lab

New York University

<div><p>The Center for Translational Medical Devices (CENTMED) at New York University Abu Dhabi seeks to recruit a Junior Research Scientist to join this new initiative focusing on designing and developing novel medical devices for ultimate human use.
</p><p>The successful applicant will join several fascinating projects on engineering novel approaches to improve the diagnosis and therapy of metabolic, cardiovascular, and neurologic diseases. These projects entail computational modelling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical experiments. The candidate will be involved in supporting research efforts, primarily data collection and analysis, as well as project management, training new lab members, purchasing equipment and consumables, and manuscript preparation. This position offers an opportunity to participate in several research projects, depending on experience and willingness to learn. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students.
</p><p>Applicants must have a BS (MS preferred) in an engineering or biomedical-related discipline, with experience in a laboratory setting, and an ability to work independently and collaboratively within a small team; with strong organization, communication, problemsolving and time management skills.
</p><p>Applicants should ideally be willing to work with rodent models including basic handling and surgical techniques. High proficiency in English is required. Excellent computational, experimental, or engineering skills are strongly preferred.
</p><p>For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Khalil Ramadi at kramadi@nyu.edu.
</p><p>The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.
</p><p><b>About NYU Abu Dhabi
</b></p><p>https://nyuad.nyu.edu/en/
</p><p>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
</p><p>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
</p><p>Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
</p><p><b>Working for NYUAD
</b></p><p>At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.
</p><p>Visit our website for more information on benefits for you and your dependents.
</p><p>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
</p><p>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
</p><p><b>Join NYU Abu Dhabi, an exceptional place for exceptional people.
</b></p><p>NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
</p><p>@WorkAtNYUAD</p></div>
<br><div><p><b>For people in the EU, click here for information on your privacy rights under GDPR: </b><b>www.nyu.edu/it/gdpr
</b></p><p>NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
</p><p><b>Sustainability Statement
</b></p><p>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability</p></div>

Junior Research Scientist in the Center for Translational Medical Devices (CENTMED) - Dr. Khalil Ramadi

New York University Abu Dhabi

<div>
 The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics.
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include:
 <br/>
 <br/>
 <ul>
  <li>
   multi-modal learning,
  </li>
  <li>
   foundation models, including large language models,
  </li>
  <li>
   agentic AI,
  </li>
  <li>
   multi-agent AI systems,
  </li>
  <li>
   transfer learning,
  </li>
  <li>
   self-supervised learning,
  </li>
  <li>
   and federated learning.
   <br/>
   <br/>
  </li>
 </ul>
 The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Research
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support the supervisor in developing and implementing the research agenda;
  </li>
  <li>
   Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare;
  </li>
  <li>
   Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA);
  </li>
  <li>
   Design and implement experiments to compare proposed work with SOTA baselines;
  </li>
  <li>
   Publish research findings in high-impact journals and conferences;
  </li>
  <li>
   Communicate and present research findings at international academic gatherings;
  </li>
  <li>
   Create, maintain, and document high-quality research code for reproducibility;
  </li>
  <li>
   Maintain good practice in managing and accessing sensitive medical datasets;
  </li>
  <li>
   Assist the supervisor in the preparation of grant applications (as appropriate);
  </li>
  <li>
   And collaborate with scientists within the NYU Global Network and in Abu Dhabi.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Training &amp; professional development*
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Attend trainings and workshops for career development;
  </li>
  <li>
   Mentor PhD students and undergraduate research assistants (as appropriate);
  </li>
  <li>
   Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee;
  </li>
  <li>
   Gain experience in applying for local research grants (subject to eligibility);
  </li>
  <li>
   And transition to independence to pursue a career of choosing following the appointment.
  </li>
  <li>
   The researcher will create a personalized training and development plan with the supervisor.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree)
  </li>
  <li>
   Doctoral research in the area of machine learning and artificial intelligence
  </li>
  <li>
   Bachelor&rsquo;s/ Master&rsquo;s degree in computer science, mathematics, computer engineering, or relevant technical field
  </li>
  <li>
   First-author peer-reviewed published papers (or under review)
  </li>
  <li>
   Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice
  </li>
  <li>
   Experience in maintaining high-quality code on Github
  </li>
  <li>
   Experience in running and managing experiments using GPUs
  </li>
  <li>
   Ability to visualize experimental results and learning curves
  </li>
  <li>
   Effective inter-personal and team-building skills
  </li>
  <li>
   Self-motivated with an ability to work independently and in a team to get the work done
  </li>
  <li>
   Excellent communication skills (oral and written communication)
  </li>
  <li>
   Willingness to learn and confront new challenges
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Doctoral research conducted in the area of machine learning for healthcare and related topics
  </li>
  <li>
   Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning.
  </li>
  <li>
   Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
  </li>
  <li>
   Ability to use high performance computing cluster
   <br/>
   <br/>
  </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu.
 <br/>
 <br/>
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 <br/>
 <br/>
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 <br/>
 <br/>
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 <br/>
 <br/>
 <strong>
  Working for NYUAD
  <br/>
  <br/>
 </strong>
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 <br/>
 <br/>
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 <br/>
 <br/>
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Join NYU Abu Dhabi, an exceptional place for exceptional people.
  <br/>
  <br/>
 </strong>
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 <br/>
 <br/>
 @WorkAtNYUAD
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) - Dr. Farah Shamout

Rheinische Friedrich-Wilhelms-Universität Bonn

<div></div><div><div><div><div><div><div><div><div><div><div><p><b>Published on:</b> 22.06.2026</p>
</div></div></div></div><div></div><div><div><div><div><p>The University of Bonn is an international research university with a wide education and research profile. With a 200-year history, approximately 31,500 students, more than 6,000 staff, and an excellent reputation at home and abroad, the University of Bonn is one of the most important universities in Germany and is recognized as a university of excellence.</p>
</div></div></div></div><div></div><div><div><div><div><div><p>The Bonn-Aachen International Center for Information Technology &ldquo;b-it&rdquo;, is looking for a temporary position for a period of 1 year in accordance with &sect; 2 (1) WissZeitVG</p>
<p><b>
Postdoctoral Researcher in Psychology / Human&ndash;AI Interaction</b></p></div>
</div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Bonn-Aachen International Center for Information Technology &ldquo;b-it
</b></h3></div></div></div></div><div></div><div><div><div><div><p>The Data Science Lab of Prof. Dr. Lucie Flek at the University of Bonn invites applications for a senior postdoctoral researcher to join the ERC-funded project LLMpathy. The project investigates how psychological traits, values, and social reasoning shape interactions with conversational AI systems such as large language models (LLMs).</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Deadline:</b></p>
</div></div><div></div><div><div><p>July 15, 2026</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Reference number:</b></p>
</div></div><div></div><div><div><p>2025/289</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Working time model:</b></p>
</div></div><div></div><div><div><p>full-time</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Starting date:</b></p>
</div></div><div></div><div><div><p>as soon as possible</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Duration:</b></p>
</div></div><div></div><div><div><p>fixed-term</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Pay grade</b><b>:</b></p>
</div></div><div></div><div><div><p>TV-L EG 13</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Applications to:</b></p>
</div></div><div></div><div><div><p>flek@bit.uni-bonn.de</p>
</div></div></div></div><div></div><div><div><div><div>Job posting (pdf)
</div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Your tasks:
</b></h2></div></div></div></div><div></div><div><div><div><div><ul><li>Design and conduct psychological studies and human-AI interaction experiments,</li>
<li>Develop and evaluate measures related to personality, values, empathy, trust, and social behavior,</li>
<li>Support longitudinal data collection and ensure data quality, reliability, and validity</li>
<li>Analyze behavioral and questionnaire data using quantitative methods,</li>
<li>Collaborate with AI researchers on the evaluation of AI systems,</li>
<li>Co-lead the project, mentor PhD students and contribute to international publications.</li>
</ul></div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>We offer
</b></h2></div></div></div></div><div></div><div><div><div><div><ul><li>Opportunity for further academic qualification,</li>
<li>A salary based on the 13 TV-L scale with the usual social benefits of the public service sector, e.g., health insurance, maternity leave, vacation allowance of 30 days per year,</li>
<li>Participation in the university-wide pension system (VBL),</li>
<li>A varied and challenging position with one of the biggest employers in the area,</li>
<li>Access to the extensive university sports program,</li>
<li>Excellent access by public transport thanks to Bonn&rsquo;s central location as well as the opportunity to take advantage of low-cost parking.</li>
</ul></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your profile
</b></h2></div></div></div></div><div></div><div><div><div><div><div><ul><li>PhD in psychology, cognitive science, HCI, computational social science, or related field,</li>
<li>Experience with psychological experiments or huma-subject research (e.g. panels),</li>
<li>Experience analyzing behavioral or longitudinal data, quantitative research skills (e.g. IRT, statistical cause-effect analyses) are a plus,</li>
<li>Interest in human-AI interaction and interdisciplinary research,</li>
<li>Strong English writing skills and publication experience,</li>
<li>Ability and willingness to work in a multidisciplinary and international team with appropriate communication skills,</li>
<li>High motivation as well as a structured and independent way of working.</li>
</ul>
<p>We do not expect you to be a machine learning engineer for this position. We are explicitly looking for researcher with strong expertise in psychological methods and human research who are interested in collaborating in an interdisciplinary AI environment.</p>
<p>
This position is embedded in the Lamarr Institute for Machine Learning and Artificial Intelligence and offers close collaboration with researchers in psychology, HCI, AI safety and NLP.</p></div>
</div></div></div></div><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Diversity and equal opportunity</b></h2>
<p>
The University of Bonn promotes an open, respectful, and non-discriminatory academic culture and is actively committed to equal opportunity and family friendliness. We aim to eliminate structural disadvantages and to strengthen diversity in research, teaching, and administration. Therefore, we welcome all applications, regardless of ethnic or social background, gender, sexual orientation, religion or belief, disability, or age.</p>
<p>
Applications from women and people with a documented severe disability (or equivalent status) will be given preferential consideration in accordance with the State Equality Act (LGG) NRW and Social Code (SGB) IX.</p></div></div></div></div></div></div><div></div>

Postdoctoral Researcher in Psychology / Human–AI Interaction

Cellebrite

<div><p><b>Company Overview:</b>
</p><p>Cellebrite&rsquo;s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite&rsquo;s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite&rsquo;s digital forensic and investigative solutions&mdash;available via cloud, on-premises and hybrid deployments&mdash;to close cases faster and safeguard communities.</p><p>
To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite.<br>
</p><p></p><br>
<p><b>Role Overview:</b></p><p>
We are looking for a <b>Sales Engineer, Federal</b> with a background in mobile development and iOS internals to serve as the primary technical bridge between our Corellium platform and the world&rsquo;s most elite security research teams. In this role, you will be positioning, demonstrating, and selling the Corellium platform to researchers, reverse engineers, and security analysts. You must be able to &quot;speak the language&quot; of ARM assembly, kernel debugging, and zero-day exploitation to prove how our virtualization technology turns weeks of manual hardware-tinkering into hours of automated research.</p><p>
Many meetings will be in person throughout the Asian Pacific Region with an estimated 60% travel requirement.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li><b>
Technical Value Positioning:</b> Conduct technical demonstrations for iOS and Android researchers, showing how virtualized ARM environments outperform physical &quot;device labs&quot; in speed, scale, and observability.</li><li><b>
Workflow Optimization:</b> Consult with prospective clients to map their existing mobile reverse engineering workflows (IDA Pro, Frida, Ghidra) into the Corellium API for massive efficiency gains.</li><li><b>
Proof of Concept (PoC) Leadership:</b> Lead technical evaluations for sophisticated customers, helping them bypass anti-debugging/anti-virtualization checks to prove the platform&rsquo;s efficacy.</li><li><b>
Competitive Intelligence:</b> Maintain an expert-level understanding of the iOS/Android security landscape to articulate why Corellium is superior to physical device farms or standard emulators.</li><li><b>
Cross-Functional Feedback:</b> Act as the &quot;Voice of the Researcher&quot; for our Product team, translating high-level exploit trends and researcher frustrations into new features.</li></ul><br>
Requirements:<br>
<br>
<p><b>Prior experience or advanced training in Security Research ideally focused on mobile is preferred.
</b></p><p><b>Mobile Internals &amp; Security (Required)</b></p><ul><li><b>
The &quot;Researcher&rsquo;s Vocabulary&quot;:</b> Fluency in iOS/Android security concepts, including XNU Kernel structures, PAC (Pointer Authentication Codes), ASLR, and the App Sandbox.</li><li><b>
OS Internals:</b> Literacy in User Mode and Kernel Mode operations (e.g., *OS Internals concepts).</li><li><b>
Development Background:</b> Proficiency in Swift, Objective-C, or Java/Kotlin to understand modern app construction and vulnerability surfaces.</li></ul><p><b>
Reverse Engineering &amp; Automation (Required)</b></p><ul><li><b>
Tooling Literacy:</b> Proficient with 2 or more of the following tools, IDA Pro, Ghidra, Binary Ninja, Frida, and Burp Suite.</li><li><b>
Scripting:</b> Proficiency in <b>Python, Bash, or JavaScript</b> to demonstrate Corellium&rsquo;s gRPC and REST APIs for automated scaling.</li><li><b>
Database &amp; CI/CD:</b> Basic SQL knowledge and familiarity with GitHub/Jenkins for integrated research pipelines.</li></ul><p><b>
Systems &amp; Network Administration (Strongly Desired)</b></p><ul><li><b>
Advanced Linux/Unix Proficiency:</b> Comfortable with CLI and system administration (equivalent to Red Hat System Administration).</li><li><b>
Networking Mastery:</b> Strong understanding of IP networking, gateways, and virtual networking.</li><li><b>
Secure Connectivity:</b> Proficiency in configuring and securing remote authentication via SSH keys, file transfers, and tunneling.</li><li><b>
Network Segmentation:</b> Practical knowledge of VPN tunneling (OpenVPN, Wireguard) and VLANs for secure environment isolation.</li></ul><p><b>
Virtualization &amp; Emulation (Desired)</b></p><ul><li><b>
Hypervisor experience:</b> Understanding of KVM, libvirt, and the fundamental architectural differences between emulation and virtualization (QEMU).</li><li><b>
ARM Architecture:</b> Familiarity with ARM A-Profile virtualization and SMMU (System Memory Management Unit).</li></ul><p><b>
Desired Attributes:</b></p><ul><li><b>
Technical Credibility:</b> While you do not need to be an active exploit writer, you should be able to explain the difference between a checkm8-based bypass and a kernel heap overflow.</li><li><b>
Strategic Communicator:</b> Ability to pivot from a deep-dive technical debugging session with a researcher to a &quot;value and ROI&quot; conversation with a CISO or Lab Manager.</li><li><b>
Problem Solver:</b> Ability to investigate instruction traces to find workarounds when an app's obfuscator detects a virtual device.</li></ul><p>
&bull; &bull; <b>Prior Corellium Experience: </b>Previous experience configuring and working with Corellium is a plus</p><br>
Office Location:
<br>
Remote</div>

Sales Engineer, Federal

Raytheon

<div><p><b>Date Posted:</b></p>
2026-06-26<p><b>
Country:</b></p>
United Kingdom<p><b>
Location:</b></p>
Gloucester, South Gloucestershire<p><b>
Position Role Type:</b></p>
Onsite<p></p><p><b>
Senior Data Scientist &amp; Machine Learning Researcher</b></p><p><b>
Gloucester, Manchester</b></p><p></p><div><div><p><b>
Benefits:</b></p></div><div><ul><li><p>
&pound;: Competitive salary</p></li></ul></div><div><ul><li><p>
Contributory Pension Scheme (up to 10.5% company contribution)</p></li></ul></div><div><ul><li><p>
6 times salary &lsquo;Life Assurance&rsquo; with pension</p></li></ul></div><div><ul><li><p>
25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)</p></li></ul></div><div><ul><li><p>
Company bonus scheme (discretionary)</p></li></ul></div><div><ul><li><p>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others</p></li></ul></div><div><ul><li><p>
Enhanced sick pay</p></li></ul></div><div><ul><li><p>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</p></li></ul></div><p></p><div><p><b><br>
Work Culture</b></p></div><div><ul><li><p>
37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.</p></li></ul></div><div><ul><li><p>
Early 1.30pm finish Friday, start your weekend early!</p></li></ul></div><div><ul><li><p>
Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.</p></li></ul></div><div><ul><li><p>
Up to 5 paid days volunteering each year.</p></li></ul></div></div><div><div><ul><li><p>
Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.</p></li></ul></div><p></p><div><p><b><br>
Cyber</b></p></div><div><p>
Our National Security Cyber business delivers mission-critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today.</p></div></div><p>
What You Will Do *</p><p>
Raytheon UK has a perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG).</p><p></p><p>
As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution.</p><p></p><p>
The Strategic Research Group (SRG) is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems.</p><p></p><p>
You can be based with our Gloucester, Manchester or London team, working in a hybrid capacity (average of 3 days a week on-site). You must already hold or be able to gain SC clearance (on Day 1) and eDV clearance (once started).</p><p></p><p>
Responsibilities</p><ul><li>
Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.</li><li>
Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines.</li><li>
Undertake research and applied AI/ML tasks on both customer and internal research projects.</li><li>
Generate ideas for new research directions and provide technical leadership in small project groups.</li><li>
Mentor more junior team members within their project team and the wider SRG.</li><li>
Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery.</li></ul><p></p><p>
Required Skills &amp; Experience</p><ul><li>
BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field</li><li>
Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).</li><li>
Have an established track record of delivering ML solutions to customers and internal stakeholders.</li><li>
Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature.</li><li>
Experience of training and developing AI models including Large Language Models.</li><li>
Ability to produce high-quality scientific writing for internal &amp; external stakeholders as well as academic publications.</li><li>
Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries.</li></ul><p></p><p>
Desirable Skills &amp; Experience</p><ul><li>
PhD. or Masters degree highlighting experience of academic research.</li><li>
Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker)</li><li>
Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd&hellip;)</li><li>
Experience of deploying AI models in a scalable way for external users.</li><li>
Experience working in Cloud, preferably AWS but also GCP or Azure.</li><li>
Research publications in peer reviewed journals.</li><li>
Experience of writing technical project proposals</li></ul><p></p><p><i>
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.</i></p><p></p><p>
LI-BZ1#</p><p></p><p><i>
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.</i>
</p><p></p><p><b>Privacy Policy and Terms:</b></p></div><p></p>

Senior Data Scientist & Machine Learning Researcher

BlockTech

<div><h2 class="jobSectionHeader"><b>About BlockTech</b></h2><p>
BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems.</p><p>
Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn&rsquo;t be shorter.</p><p>
We&rsquo;re growing fast, and we&rsquo;re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further.</p><p></p><h2 class="jobSectionHeader"><b>
The role</b></h2><p>
As a Quantitative Researcher on our trading floor, you&rsquo;ll own ideas end-to-end from hypothesis and dataset construction, through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement.</p><p>
You&rsquo;ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade.</p><p>
You will:</p><ul><li><p>
Collaborating closely with traders to translate research insights into systematic trading strategies</p></li><li><p>
Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques.</p></li><li><p>
Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely</p></li><li><p>
Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What we're looking for</b></h2><ul><li><p>
A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience</p></li><li><p>
Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas)</p></li><li><p>
A deep, intuitive grasp of overfitting, generalisation, validation design, and feature engineering - you can explain why a model works, not just that it does</p></li><li><p>
Solid software engineering instincts: you write code that other people can read, test, and run in production</p></li><li><p>
Genuine curiosity about financial markets and market microstructure - prior finance experience is welcome but not required</p></li><li><p>
Clear written and verbal English, and the ability to communicate complex ideas to a mixed audience of researchers, engineers, and traders</p></li></ul><p>
Nice to have</p><ul><li><p>
Hands-on experience building and deploying ML models, ideally on time-series, forecasting, or anomaly detection problems</p></li><li><p>
Familiarity with crypto markets, derivatives pricing, and/or high-frequency trading data</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What's in it for you?</b></h2><ul><li><p>
A seat on a trading floor where research, engineering, and trading happen a few metres apart, guaranteeing short feedback loops, real ownership, and direct impact on live PnL</p></li><li><p>
Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance</p></li><li><p>
Outstanding performance is rewarded with the opportunity to buy into the trading fund</p></li><li><p>
Pension plan, company laptop, and reimbursement of your internet costs at home</p></li><li><p>
An extensive in-house training program and an annual learning &amp; development budget</p></li><li><p>
The opportunity to work at the forefront of automated trading using state-of-the-art technology, in an environment that embraces AI to both accelerate productivity and advance our systems and models</p></li><li><p>
Gym membership reimbursement and the opportunity to engage in various sports during working hours, including kickboxing, CrossFit, fitness, and soccer</p></li><li><p>
Regular social events, including weekly Friday drinks, monthly outings, quarterly sports competitions and bi-annual trips abroad</p></li><li><p>
Daily breakfast and warm lunch. Additionally, snacks and drinks are provided throughout the day</p></li><li><p>
For internationals: All-in relocation package and Dutch classes</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our culture</b></h2><p>
At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals.</p><p>
In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities.</p><p>
We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.</p><p>
Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading.</p></div>

Junior Quantitative Researcher

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