#PhD Position

🙏 Thanks to "Amin"

🆔 @PositionClub

#PhD position
Title: Funded PhD Positions in Computational Privacy at Imperial College London's Data Science Institute.

> Denoscription: The Computational Privacy Group, led by Dr. Yves-Alexandre de Montjoye, at Imperial College London’s Data Science Institute at the Department of Computing has funded openings for PhD students (from UK, EU and overseas) to work on topics related to privacy, data protection, and the impact of algorithms on society.

Topics of current interests include, for instance, individual privacy in large-scale behavioral datasets; re-identification attacks against privacy-preserving data systems or aggregates, privacy of machine learning models, privacy engineering solutions such as differential privacy and query-based systems, ethics and fairness in AI, and computational social science.

Research context. For the first time in history, we have the ability to amass large amounts of medical, behavioral and social demographic data about humans and societies. While this data has the potential to fundamentally transform industries such as healthcare and transportation, its collection and use also pose significant challenges. The data itself can be prone to serious privacy violations, while the algorithm-based solutions built on top of it may open the way to large-scale discrimination and bias.

Research projects. Projects are defined in close collaboration with the student, but could tackle, for example:

The definition of formal properties and metrics of privacy or fairness in AI decision-making;The development of privacy-enhancing data processing systems;The development of new machine learning techniques for behavioral user fingerprinting.

Our projects include a mix of theoretical and empirical work with large-scale data from mobile phones, credit card transactions, or browsers, possibly in collaboration with industry partners..


> Dept: Data Science Institute
> Imperial College London, UK.
💯Deadline: 01 Nov 2020
🌐 https://cpg.doc.ic.ac.uk/openings/
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Four #PhD scholarships within Australian Research Council Future Fellowship available
Title: Bio-inspired computing for problems with chance constraints

> Denoscription:
We are seeking an excellent candidate with a master or honours in computer science, mathematics, or statistics.
The successful applicant should carry out theoretical or applied work on
evolutionary algorithms, ant colony optimisation, and related bio-inspired computing methods for problems with stochastic constraints
Candidates having experiences in the field of randomised methods, statistics and/or
computational complexity of bio-inspired computation are highly encouraged to apply.

> Adelaide, Australia.
🌐 https://cs.adelaide.edu.au/~frank/OpenPhDBioComp.txt
💯 Deadline: Positions remain open until filled and applicants are encouraged to send their application documents as early as possible.
🆔 @PositionClub

#PhD #Postdoc position
Title: Multiple PhD and Postdoc positions in AI.

> Denoscription: Our lab has several #PhD and #PostDoc openings in #Al:
- Neural Rendering
- 3D Reconstruction
- SLAM / Pose Tracking
- Semantic Scene Understanding
- Face/Body Tracking, Non-Linear
Optimization
- Media Forensics / Fake News Detection

Application details:
niessnerlab.org/openings.html


> TU München, Germany.
🌐 https://twitter.com/MattNiessner/status/1318974349471338507?s=19
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#MSc & #PhD Position

🙏 Thanks to "Amin"

🆔 @PositionClub

#MSc Position

Topic: Environmental Engineering / Plastic Research

> Dept. Civil & Environmental Engineering
> University of Alberta, Canada

🙏 Thanks to "Farokh Kakar"

🆔 @PositionClub

#PhD position
Title: PhD position in Machine Learning, Computer Vision, and NLP.

> Denoscription: Interested in advanced NLP&CV&ML research? I am looking for multiple motivated PhD students to join my lab @ucsc @UCSC_BSOE in Fall 2021! Particularly, we strive to build embodied AI agents that communicate with humans to do their jobs. Please help RT!
eric-xw.github.io/hiring.html.


> Dept: Computer Science
> University of California Santa Cruz, US.
🌐 https://twitter.com/xwang_lk/status/1319288624005853190?s=19
🆔 @PositionClub

#PhD position
Title: PhD position in Machine Learning.

> Max Planck Institute for Intelligent Systems, Germany.
💯Deadline: 02 Nov 2020
🌐 https://imprs.is.mpg.de/application
🆔 @PositionClub

#Postdoc position
Title: Postdoctoral Position in Machine Learning on Graphs and/or Medicine.

> Denoscription:
Karsten Borgwardt’s Ma­chine Learn­ing and Com­pu­ta­tional Bio­logy Lab at ETH Zürich, loc­ated at the De­part­ment of Biosys­tems Sci­ence and En­gin­eer­ing in Basel, has an open­ing for one Postdoc­toral Po­s­i­tion in Ma­chine Learn­ing on Graphs and/or Medi­cine.

Ap­plic­ants should be highly mo­tiv­ated and cre­at­ive, show an ex­cep­tional track re­cord, and hold a Ph.D. de­gree in Com­puter Sci­ence, Bioin­form­at­ics, Math­em­at­ics, Stat­ist­ics, or re­lated fields, and be in­ter­ested in work­ing in an in­ter­dis­cip­lin­ary en­vir­on­ment at the in­ter­face of Ma­chine Learn­ing and its ap­plic­a­tions in Bio­medi­cine, in par­tic­u­lar, in al­gorithm de­vel­op­ment for learn­ing on graphs and/or large-​​scale data ana­lysis prob­lems in bio­logy and medi­cine.

To ap­ply, please sub­mit a com­plete ap­plic­a­tion via email to borgwardt-​applications@bsse.ethz.ch (ideally as 1 PDF at­tach­ment). This ap­plic­a­tion should in­clude: (1) your CV, (2) the co­ordin­ates of at least two ref­er­ees. In ad­di­tion, please sub­mit (3) a let­ter of mo­tiv­a­tion (up to 2 pages long), in which you de­scribe your mo­tiv­a­tion to join the lab and in which you ex­plain which pub­lic­a­tions of the lab you are most in­ter­ested in and why.

We plan to hold an on­line sym­posium with short-​listed can­did­ates in Janu­ary 2021. Suc­cess­ful can­did­ates should start their po­s­i­tion at the latest by Fall 2021.


> Dept: Computer Science
> ETH Zürich, Switzerland.
💯Deadline: 01 Dec 2020
🌐 https://bsse.ethz.ch/mlcb/about/job-opportunities.html
🆔 @PositionClub

15 #PhD Positions

Topic: visuAAL - Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living

Host institution:
RWTH Aachen University (Germany)
Stockholm University (Sweden)
Trinity College Dublin (Ireland)
TU Wien (Austria)
Universidad de Alicante (Spain)

💯 Deadline: 20 November 2020

🌐 https://www.visuaal-itn.eu/esr-vacancies

🆔 @PositionClub

#PhD position
Title: Software Intelligent Agents and Multi-agent Systems for the Lifecycle of Smart Cyber-physical System-of-Systems.

> Denoscription: Doctoral student in the area of Software Intelligent Agents and Multi-agent Systems for the Lifecycle of Smart Cyber-physical System-of-Systems.
You prepare a doctoral thesis in the field of Software Intelligent Agents and Multi-agent Systems for the Lifecycle of Smart Cyber-physical System-of-Systems.
You publish scientific articles related to the research project of the assignment.
You contribute to teaching and research in the MICSS Lab, AnSyMo Group, Department of Computer Science..

> Dept: Computer Science
> University of Antwerp, Belgium.
💯Deadline: 29 Oct 2020
🌐 https://www.uantwerpen.be/en/jobs/vacancies/academic-staff/?q=1255&descr=Doctoraatsbeurs-Software-Intelligente-Agents-en-Multi-agent-systemen-voor-de-Levenscyclus-van-Slimme-Cyberfysieke-Systeemsystemen
🙏Thanks to: Hamid
🆔 @PositionClub

#PhD Position

Topic: Industrial Eng. - Ecology and Life Cycle Assessment

> Research and Development Unit for Mechanical and Industrial Eng
> Dept. Mechanical and Industrial Eng.
> Universidade NOVA de Lisboa (UNL), Portugal

💯 Deadline: ASAP to start in January 2021

🙏 Thanks to "Drs. Shafie-khah & Nezamabadi-pour"

🆔 @PositionClub

#PhD position
Title: PhD position in Trustworthy ML.

> Denoscription: We are hiring PhD students, with strong background in statistics, algorithms and theory of ML. Data privacy and trustworthy machine learning..


> National University of Singapore, Singapore.
🌐 https://twitter.com/rzshokri/status/1320560163930058752?s=19
🆔 @PositionClub

#PhD position
Title: PhD Positions in Computational and Theoretical Neuroscience and Machine Learning.

> Denoscription: The PhD programme lasts four years, including the first year of intensive instruction in techniques and research in theoretical and systems neuroscience and machine learning. Courses in the first year, taught in conjunction with colleagues from the SWC and CSML, provide a comprehensive introduction to theoretical and systems neuroscience and to machine learning; with further multidisciplinary training in other areas of neuroscience also available. Students are encouraged to work and interact closely with peers and faculty in the SWC and CSML throughout their PhD, providing a uniquely multidisciplinary research environment. Projects involving collaboration within or outside UCL are welcome. For more information see our programme structure. 

Students at the Gatsby Unit study toward a PhD in either machine learning or computational and theoretical neuroscience, with minor emphasis in the complementary field. Exceptionally, some students with pre-secured shorter-term studentships have joined us to study for an MPhil degree in one of these fields. Besides these Gatsby-funded programmes, students from other PhD programmes are also able to carry out all or part of their research in Unit. We do not offer undergraduate or taught masters programmes, nor a research masters, however students in some UCL Masters programmes may carry out projects in the Unit.

Applicants to the Gatsby PhD programme should have a strong analytical and mathematical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics.

Full funding is available to all students, regardless of nationality. Gatsby PhD studentships cover the cost of tuition at the appropriate rate, and include a tax-free stipend, presently £24,000 per annum. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships.


> Dept: Gatsby Unit
> University College London, UK.
💯Deadline: 15 Nov 2020
🌐 https://www.ucl.ac.uk/gatsby/study-and-work/phd-programme
🆔 @PositionClub

#PhD position

Title: PhD in Machine Learning for Healthcare.

> Denoscription:

We have a handful of fully-funded positions for PhD students to develop cutting-edge machine learning methods for healthcare. If you're interested, get in touch.


> Cambridge, UK.
🌐 https://twitter.com/MihaelaVDS/status/1320719425461506049?s=19
🆔 @PositionClub

Postdoc position
Title: Postdoc in Physics-Guided Learning for Spatiotemporal Decision Making.

> Denoscription: We seek exceptional postdoctoral candidates hosted at UCSD Computer Science & Engineering by Prof. Rose Yu . The initial term of these positions is one year with the possiblity for renewal. The target start date is early 2021 but is flexible.

Background

The recent breakthroughs in Artificial Intelligence (AI) and Machine Learning (ML) demonstrate new promises for decision making in complex spatiotemporal environments. Unfortunately, a key challenge to deploy ML in real-world is the large amount of labeled training data required to train complex deep learning models. We will develop sample efficient physics-guided machine learning to learn from spatiotemporal data such as trajectories and videos. The goal is to learn complex spatiotemporal dynamics in various real-world scenarios, including autonomous vehicle tracking and navigation, multi-agent team behavior modeling, and atmospheric turbulence simulation.

Qualifications
Ph.D. in computer science, physics, mathematics, engineering or other related fields.
Strong interests in both theory and application of machine learning, especially spatiotemporal reasoning.
Prior experience working with large-scale data set.
Paper in ICML, NeurIPS, KDD, ICLR is a plus.
Communication, presentation, writing, and teamwork skills..


> Dept: Computer Science
> UCSD, US.
🌐 http://roseyu.com/postdoc.html
🆔 @PositionClub

#PhD position
Title: PhD in Machine Learning and Embedded Systems.

> Denoscription: I am looking for multiple self-motivated Ph.D. students to join my group at UC Irvine for Fall 2021. The areas of interest are: machine learning (theory and application), software-hardware co-design, embedded systems, and computer architecture. All candidates are expected to have excellent programming skills.

If you are interested, please email me a copy of your CV: m.imani@uci.edu. Please use "Ph.D. Application Fall 2021" as the noscript of your email..


> UC Irvine, US.
🌐 https://www.linkedin.com/posts/mohsen-imani-3491164b_university-of-california-irvine-activity-6726738091475922944-olAY
🆔 @PositionClub

#Master scholarship

Mälardalen University scholarship programme

Sweden

https://www.mdh.se/international/application-and-admission/malardalen-university-scholarship-programme

🆔 @positionclub

#PhD position
Title: PhD position in Machine and Reinforcement Learning.

> Denoscription: The Uncertainty in Artificial Intelligence (UAI) group is a new and quickly growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology. In the DAI cluster, we aim at developing foundations of AI for the present and the future. This includes the design of new AI methods, development of AI algorithms and tools with a view at expanding the reach of AI and its generalization abilities. In particular, we study foundational issues of robustness, safety, trust, reliability, tractability, scalability, interpretability and explain ability of AI.

The UAI group is looking for a highly motivated and skilled PhD candidate to work in an area of Machine Learning as suggested below. The concrete research direction will be determined together with the successful candidate. Potential topics include, but are not restricted to:

(Deep) Reinforcement Learning
(Contextual) Multi-Armed Bandits
Counterfactual Learning
Fairness-aware Learning
Fairness in Reinforcement Learning
Off-policy Reinforcement Learning
Modeling Bias in Machine Learning
Decision Making under Uncertainty
Auto ML
Explainable AI
Recommendation Systems

We encourage you to express your preferences on the above topics (if applicable) in your research statement.

Functie-eisen

We are looking for a motivated candidate with:

Master’s degree in Computer Science, Mathematics, or a related field;
Excellent analytical skills;
Excellent coding skills (e.g. Python, PyTorch, Tensorflow);
Excellent academic writing and presentation skills;
Proficiency in English (written and spoken);
Desire to conduct excellent research and publish in high quality conferences and journals;
Independent thinker and self-responsibility;
Ability and desire to collaborate and work in teams;
Ability and desire to support teaching and to co-supervise bachelor and master students;
Knowledge of Reinforcement Learning is an advantage..


> Dept: Information
> TU Eindhoven, Netherlands.
🌐
💯 Deadline: ASAP https://jobs.tue.nl/nl/vacature/phd-position-in-machine-learning-864922.html
🆔 @PositionClub

#PhD position
Title: PhD – Hybrid (AI-driven and physics based) Models for Dynamical Systems.

> Denoscription: Hybrid modeling of a dynamical system leverages prior domain knowledge in guiding data-driven machine learning towards more informed, explainable predictive models. While model-based simulations aim at modeling stable causal and physical relationships and machine learning excels in mining hidden patterns in measurements, hybrid modeling tries to harness the best of both approaches.

In this PhD project, the objective is to develop an automated framework for hybrid model generation, training and evaluation. An important decision in this framework is the selection of the most appropriate hybridization paradigm (accompanied with its proper training method) for a given task. For this purpose, careful design of well-defined selection criteria is required for targeting an intuitive guideline for model selection. Additionally, superior performance of selected models need to be validated not only on attainable real-world measurements but also as to which extend physical constraints have been satisfied. During your PhD, you will be part of the active research team at the Bosch Center for Artificial Intelligence (BCAI).

Right from day one, you will invent novel approaches for model hybridization.You will conduct prototypical implementations and benchmarking on both synthetic scenarios and real-world data sets.Furthermore, you publish in top-tier conferences (ICML, NIPS, ICLR, AISTATS etc.) and journals (JMLR, PAMI etc.).You screen literature and build up close contact with the academic community.Be part of the team and participate in academic interactions within the BCAI research team and have the chance of integrating your developments in real industrial applications..


> Bosch Center for AI, Germany.
🌐 https://jobs.smartrecruiters.com/BoschGroup/743999722884815-phd-hybrid-ai-driven-and-physics-based-models-for-dynamical-systems
🆔 @PositionClub

#PhD #PostDoc #Faculty #Position

Area: Control Systems & Applications

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