ما دوباره برگشتیم با انرژی بیشتری ادامه خواهیم داد با ما همراه باشید و دوستان خودتان را دعوت کنید.

I am thrilled to share that we have a fantastic open postdoc position at UC Santa Barbara, within an exciting collaboration with San Francisco Univ., Univ. of Chicago and Imperial College London! The successful candidate will research foundations and applications of topological deep learning.

Interested? Apply here https://tinyurl.com/35r5jbk !

We're hiring for multiple 100% remote roles (outlined below). OfferFit was founded by ex-McKinsey and BCG math PhDs, and we’re funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with automated experimentation, powered by self-learning AI. This allows lifecycle marketers to test & improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home (leading home security company) and Engie (multinational electric utility), among many others.

AI Implementation Engineer
Python Software Engineer
Data Science Director
Data Science Manager
Technical Engagement Manager
Customer Success Manager
https://www.offerfit.ai/job-application

Hello!

We have multiple openings on our team here at KUNGFU.AI. We are an AI/ML professional services company based in Austin that focus on building thoughtful and ethical AI Solutions. We're currently hiring for a number of positions!

Director of Engineering - https://jobs.lever.co/kungfu/082cf034-be18-4c28-b5d0-9d9c773d1414
Senior NLP Engineer - https://jobs.lever.co/kungfu/0462d8f1-5f9e-4571-be13-6d32feb7931f
AI Strategist - https://jobs.lever.co/kungfu/6b3a68b2-b596-49ce-a727-f9f4e0db996f

Free Data Science/Data Analytics training!
Apply for the Data Science for All (DS4A) Empowerment programme.

DS4A offers:

Training in Data Analytics
Networking with leaders in data fields & other talented professionals
Mentoring from a network of professional mentors who work in data
Jobs from top companies, like Accenture & BlackRock
Live online training with a schedule built for busy students & professionals
For free! The program is sponsored by our Employer Partners
There are no formal prerequisites or background in data science needed to apply!

Apply here: https://bit.ly/3RiWTlA

I am hiring a project manager to join our AI research team at Siemens Technology, Siemens' central R&D department. We work on Industrial AI innovation for applications within sustinability, automation, mobility, manufacturing, electrification and many more areas. We are a diverse team with many opportunities to grow and learn!

The role can be filled on-site in our Princeton, NJ office or remotely from within the United States.

If you have any questions, or apply for the job don't hesitate to let me know!

https://jobs.siemens.com/jobs/325137

Best,
Olympia Brikis (https://www.linkedin.com/in/georgiaolympiabrikis/)

The research group Data Mining and Machine Learning at the University of Vienna,
in a continued collaboration with the Volkswagen Natural Language Processing
Expert Center in Munich, is looking for graduates or advanced MSc students in
Computer Science, Computational Linguistics, Statistics, or related fields, that
are interested in doing a PhD in Machine Learning and Natural Language Processing.
The PhD candidate would be expected to be located in Munich for the duration of
the doctoral project. Please contact Prof. Benjamin Roth, Univ. of Vienna,
(benjamin.roth@univie.ac.at, use subject "ml nlp phd", please include a short CV)
to learn more about this opportunity.

--
Univ.-Prof. Dr. Benjamin Roth
Digitale Textwissenschaften
Universität Wien
Kolingasse 14
Raum 5.17
1090 Wien
email: benjamin.roth@univie.ac.at
tel: +43 14277 79513
video call: https://univienna.zoom.us/j/93796507934?pwd=VFg5dW9JbStPUml6WFVtOWJXV3phQT09
web: https://dm.cs.univie.ac.at/team/person/112089/

The Institute for Neural Computation of the Faculty of Computer Science is looking for a

Postdoc (m,f,x) for 2 years, full-time, TVL E13

The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications.

There is an open position for a postdoc in the group of Prof. Dr. Laurenz Wiskott to be filled October 1st. The project is part of the competence center HUMAINE for human-centered artificial intelligence, see https://humaine.info/, and will be developed in close collaboration with colleagues at RUB and application partners in industry, among others.

We offer:

* An interesting interdisciplinary environment in the field of Artificial Intelligence / Machine Learning.
* Opportunity to develop an independent research profile and your own research group.
* Opportunity to pursue further scientific qualification.
* Diverse and interesting contacts at the university, in transfer, and in industry.
* A lot of room for own ideas and initiatives.

Your tasks:

* Acquiring and maintaining industry contacts.
* Scientific advice for companies to help them introduce AI in work processes.
* Advising corresponding PhD and student projects.
* Coordination of events and teaching of advanced training courses about human-centered AI for developers and decision makers in industry

Your profile:

* Very good PhD in mathematics, computer science, engineering, or a related field
* Solid knowledge in Artificial Intelligence / Machine Learning.
* Good programming and mathematical skills
* Good command of German.
* Good organizational and communicative abilities.
* Advantageous:
+ Experience in industry cooperations and interdisciplinary projects.
+ Programming skills in Python.

Our offerings:

* Challenging and varied tasks with a high degree of personal responsibility
* Support from and cooperation with competent colleagues
* A dynamic environment
* Fair and flexible working hours
* Support in reconciling family and work/academics (including childcare placement, holiday offers, mobile children's room)

Additional information:

The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia).

Contact details for your application:

Prof. Dr. Laurenz Wiskott, Phone: +49234 32 27997

Travel expenses for interviews cannot be refunded.

For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.

We are looking forward to receiving your application with the specification ANR: 800 until 08.08.2022, send by e-mail to the following address: laurenz.wiskott@rub.de

extent: full-time
duration: temporary
beginning: as soon as possible
application dateline: 08.08.2022

The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.

The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.

A Ph.D. or PostDoc position on fairness-aware machine learning is available at UniBw-M and RI CODE in Munich, Germany in the group of Prof. Dr. Eirini Ntoutsi who will establish a research lab for "Artificial Intelligence & Machine Learning" (AIML) starting from August 2022.


This position focuses on multi-fairness/ multi-discrimination, that is, discrimination that can occur based on more than one protected attribute.


More information, including how to apply: https://lnkd.in/ec3_-tnr

Application deadline: 10.8.2022


For further information, please contact me directly.


Best regards,

Eirini Ntoutsi

Several Postdoc and PhD positions are available to work on the following topics:
- Hybrid (data-driven/model-based) methods for planning & scheduling
- Verification of learnt policies and schedules
- Robustness analysis for learnt policies and schedules
- Explanations of plans, policies, and schedules

The positions are at two institutions:

- the Federal University of Toulouse (the ANITI institute). These positions have an ideal start date of October 2022 and are funded by the new Horizon Europe Research project TUPLES. For more details see: http://tinyurl.com/tuples-positions

- the Australian National University. These positions have a more flexible starting date, and are funded by the Australian Research Council project "AI Planning: The Next Generation". For more details about the environment at ANU, including other postdoc/PhD opportunities in the area of planning and scheduling, see: https://comp.anu.edu.au/opportunities/planning/

Please contact Sylvie.Thiebaux@gmail.com if you are interested.

Here's your chance to join our fantastic team: The Trustworthy Machine Learning group at Ruhr-University Bochum, associated with the Institute for AI in Medicine at the UK Essen, is looking for an excellently qualified PhD student.

Bochum is a beautiful, lively, and affordable green city with one of the largest Universities in Germany.

We are mostly interested in theoretically sound federated and deep learning, privacy and adversarial robustness, with applications in healthcare: We do fundamental research and develop novel methods with real practical impact. To apply and for more information, please check this official announcement:
https://www.uk-essen.de/fileadmin/Bildungsakademie/wissenschaftler/Stellenausschreibung_Nr._1139_Doktorand_englisch.pdf
or email me: michael.kamp@uk-essen.de.

Are you interested in applying ideas from the exciting new field of causal representation learning (https://crl-uai-2022.github.io/) to multimodal data, e.g., images, text, etc.? Are you excited about investigating fundamental questions and developing a unified principled framework, but also testing them empirically?

The Intelligent Data Engineering Lab at the University of Amsterdam (www.uva.nl) is seeking a motivated PhD student in the area of causality, causal representation learning and multimodal data fusion. You will be working under the supervision of dr. Sara Magliacane (https://twitter.com/saramagliacane) and prof. Paul Groth (https://indelab.org/)
on a new fundamental research project, funded by the US Air Force Office of Scientific Research, aimed at creating foundational theory and methods for extracting and fusing causal knowledge from multiple modalities.

Deadline: September 15 2022

All details here: https://vacatures.uva.nl/UvA/job/PhD-Candidate-in-Causal-Representation-Learning-and-Fusion-from-Multiple-Modalities/752007002/

We're looking for a Data Scientist to join our amazing R&D team at Spren (Elite HRV).
Please check out our job posting here: https://lnkd.in/g4XEjqdN

Please feel free to reach out if you're interested, or know of anyone that would be a great fit.

Best,
Ramina Ghods, Ph.D,
Machine Learning Researcher,
Spren (Elite HRV)
https://www.linkedin.com/in/ramina-ghods/

🇺🇸 PhD position, University of California, USA

☑️ Compliant medical devices, micro/nano additive fabrication, and optical tweezers


My group is looking to hire multiple Ph.D. students starting as early as January 2023 (Yes, if the candidate is strong enough, I can make a case to admit them to UCLA early as long as I have funding to cover them). If you have a Bachelors and preferably a Masters degree with a high GPA (>3.7) from a reputable university and you're interested in applying, please send your CV (with all GPA's clearly listed) to hopkins@seas.ucla.edu with a small email (a few sentences) explaining your current situation. Industry experience is also desirable but not essential. Fluency in English is critical. I will unfortunately only be able to respond if you make the cut for an interview.
Research topics include: Compliant medical devices, micro/nano additive fabrication, and optical tweezers